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  1. Book ; Thesis: Konfliktlotsen in Dienstleistungsunternehmen

    Grosser, Michaela

    eine Analyse aus betriebswirtschaftlicher, psychosozialer und rechtlicher Perspektive

    (Gabler Research)

    2012  

    Author's details Michaela Grosser
    Series title Gabler Research
    Keywords Gesundheitswesen ; Konfliktregelung ; Qualitätsmanagement
    Subject Quality Management ; Total Quality Management ; Unternehmen ; TQM ; Qualitätssicherungssystem ; Qualitätsmanagementsystem ; Umfassendes Qualitätsmanagement ; QM-System ; Konfliktmanagement ; Konfliktstrategie ; Gesundheitsdienst ; Gesundheitssystem ; Gesundheitswirtschaft ; Medizinalwesen ; Medizinalsystem
    Language German
    Size XXIII, 343 S. : graph. Darst.
    Edition 1. Aufl.
    Publisher Gabler
    Publishing place Wiesbaden
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Braunschweig, Univ., Diss., 2011
    HBZ-ID HT016915863
    ISBN 978-3-8349-3143-6 ; 3-8349-3143-8
    Database Catalogue ZB MED Medicine, Health

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  2. Article ; Online: Fe/S proteins in microbial sulfur oxidation.

    Kümpel, Carolin / Grosser, Martina / Tanabe, Tomohisa Sebastian / Dahl, Christiane

    Biochimica et biophysica acta. Molecular cell research

    2024  Volume 1871, Issue 5, Page(s) 119732

    Abstract: Iron-sulfur clusters serve as indispensable cofactors within proteins across all three domains of life. Fe/S clusters emerged early during the evolution of life on our planet and the biogeochemical cycle of sulfur is one of the most ancient and important ...

    Abstract Iron-sulfur clusters serve as indispensable cofactors within proteins across all three domains of life. Fe/S clusters emerged early during the evolution of life on our planet and the biogeochemical cycle of sulfur is one of the most ancient and important element cycles. It is therefore no surprise that Fe/S proteins have crucial roles in the multiple steps of microbial sulfur metabolism. During dissimilatory sulfur oxidation in prokaryotes, Fe/S proteins not only serve as electron carriers in several steps, but also perform catalytic roles, including unprecedented reactions. Two cytoplasmic enzyme systems that oxidize sulfane sulfur to sulfite are of particular interest in this context: The rDsr pathway employs the reverse acting dissimilatory sulfite reductase rDsrAB as its key enzyme, while the sHdr pathway utilizes polypeptides resembling the HdrA, HdrB and HdrC subunits of heterodisulfide reductase from methanogenic archaea. Both pathways involve components predicted to bind unusual noncubane Fe/S clusters acting as catalysts for the formation of disulfide or sulfite. Mapping of Fe/S cluster machineries on the sulfur-oxidizing prokaryote tree reveals that ISC, SUF, MIS and SMS are all sufficient to meet the Fe/S cluster maturation requirements for operation of the sHdr or rDsr pathways. The sHdr pathway is dependent on lipoate-binding proteins that are assembled by a novel pathway, involving two Radical SAM proteins, namely LipS1 and LipS2. These proteins coordinate sulfur-donating auxiliary Fe/S clusters in atypical patterns by three cysteines and one histidine and act as lipoyl synthases by jointly inserting two sulfur atoms to an octanoyl residue. This article is part of a Special Issue entitled: Biogenesis and Function of Fe/S proteins.
    Language English
    Publishing date 2024-04-15
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 60-7
    ISSN 1879-2596 ; 1879-260X ; 1872-8006 ; 1879-2642 ; 1879-2618 ; 1879-2650 ; 0006-3002 ; 0005-2728 ; 0005-2736 ; 0304-4165 ; 0167-4838 ; 1388-1981 ; 0167-4889 ; 0167-4781 ; 0304-419X ; 1570-9639 ; 0925-4439 ; 1874-9399
    ISSN (online) 1879-2596 ; 1879-260X ; 1872-8006 ; 1879-2642 ; 1879-2618 ; 1879-2650
    ISSN 0006-3002 ; 0005-2728 ; 0005-2736 ; 0304-4165 ; 0167-4838 ; 1388-1981 ; 0167-4889 ; 0167-4781 ; 0304-419X ; 1570-9639 ; 0925-4439 ; 1874-9399
    DOI 10.1016/j.bbamcr.2024.119732
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Thesis: Nachweis von M.tuberculosis DNA bei Patienten mit Sarkoidose

    Großer, Marianne

    Korrelation zur T-Zell-Antwort

    2000  

    Author's details vorgelegt von Marianne Großer
    Language German
    Size 112 Bl., Ill., graph. Darst., 30 cm
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dresden, Techn. Univ., Diss., 2000
    HBZ-ID HT013008648
    Database Catalogue ZB MED Medicine, Health

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  4. Article ; Online: MRIReco.jl: An MRI reconstruction framework written in Julia.

    Knopp, Tobias / Grosser, Mirco

    Magnetic resonance in medicine

    2021  Volume 86, Issue 3, Page(s) 1633–1646

    Abstract: Purpose: The aim of this work is to develop a high-performance, flexible, and easy-to-use MRI reconstruction framework using the scientific programming language Julia.: Methods: Julia is a modern, general purpose programming language with strong ... ...

    Abstract Purpose: The aim of this work is to develop a high-performance, flexible, and easy-to-use MRI reconstruction framework using the scientific programming language Julia.
    Methods: Julia is a modern, general purpose programming language with strong features in the area of signal/image processing and numerical computing. It has a high-level syntax but still generates efficient machine code that is usually as fast as comparable C/C++ applications. In addition to the language features itself, Julia has a sophisticated package management system that makes proper modularization of functionality across different packages feasible. Our developed MRI reconstruction framework MRIReco.jl can therefore reuse existing functionality from other Julia packages and concentrate on the MRI-related parts. This includes common imaging operators and support for MRI raw data formats.
    Results: MRIReco.jl is a simple to use framework with a high degree of accessibility. While providing a simple-to-use interface, many of its components can easily be extended and customized. The performance of MRIReco.jl is compared to the Berkeley Advanced Reconstruction Toolbox (BART) and we show that the Julia framework achieves comparable reconstruction speed as the popular C/C++ library.
    Conclusions: Modern programming languages can bridge the gap between high performance and accessible implementations. MRIReco.jl leverages this fact and contributes a promising environment for future algorithmic development in MRI reconstruction.
    MeSH term(s) Algorithms ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; Programming Languages ; Software
    Language English
    Publishing date 2021-04-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 605774-3
    ISSN 1522-2594 ; 0740-3194
    ISSN (online) 1522-2594
    ISSN 0740-3194
    DOI 10.1002/mrm.28792
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  5. Book ; Thesis: Untersuchungen zur Optimierung der präoperativen Konturprognose bei Augmentationsplastiken im Gesichtsbereich

    Großer, Matthias

    1998  

    Author's details vorgelegt von Matthias Großer
    Language German
    Size 60 Bl., Ill., graph. Darst.
    Edition [Mikrofiche-Ausg.]
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Berlin, Freie Univ., Diss., 1998
    HBZ-ID HT013076059
    Database Catalogue ZB MED Medicine, Health

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    2001 MB 175 order for loan Magazin

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  6. Article ; Online: Natural history of MRI brain volumes in patients with neuronal ceroid lipofuscinosis 3: a sensitive imaging biomarker.

    Hochstein, Jan-Niklas / Schulz, A / Nickel, M / Lezius, S / Grosser, M / Fiehler, J / Sedlacik, J / Löbel, U

    Neuroradiology

    2022  Volume 64, Issue 10, Page(s) 2059–2067

    Abstract: Purpose: Grey matter (GM) atrophy due to neuronal loss is a striking feature of patients with CLN3 disease. A precise and quantitative description of disease progression is needed in order to establish an evaluation tool for current and future ... ...

    Abstract Purpose: Grey matter (GM) atrophy due to neuronal loss is a striking feature of patients with CLN3 disease. A precise and quantitative description of disease progression is needed in order to establish an evaluation tool for current and future experimental treatments. In order to develop a quantitative marker to measure brain volume outcome, we analysed the longitudinal volumetric development of GM, white matter (WM) and lateral ventricles and correlated those with the clinical course.
    Methods: One hundred twenty-two MRI scans of 35 patients (21 females; 14 males; age 15.3 ± 4.8 years) with genetically confirmed CLN3 disease were performed. A three-dimensional T1-weighted sequence was acquired with whole brain coverage. Volumetric segmentation of the brain was performed with the FreeSurfer image analysis suite. The clinical severity was assessed by the Hamburg jNCL score, a disease-specific scoring system.
    Results: The volumes of supratentorial cortical GM and supratentorial WM, cerebellar GM, basal ganglia/thalamus and hippocampus significantly (r =  - 0.86 to - 0.69, p < 0.0001) decreased with age, while the lateral ventricle volume increased (r = 0.68, p < 0.0001). Supratentorial WM volume correlated poorer with age (r =  - 0.56, p = 0.0001). Supratentorial cortical GM volume showed the steepest (4.6% (± 0.2%)) and most uniform decrease with strongest correlation with age (r =  - 0.86, p < 0.0001). In addition, a strong correlation with disease specific clinical scoring existed for the supratentorial cortical GM volume (r = 0.85, p =  < 0.0001).
    Conclusion: Supratentorial cortical GM volume is a sensitive parameter for assessment of disease progression even in early and late disease stages and represents a potential reliable outcome measure for evaluation of experimental therapies.
    MeSH term(s) Adolescent ; Atrophy/pathology ; Biomarkers ; Brain/diagnostic imaging ; Brain/pathology ; Child ; Disease Progression ; Female ; Gray Matter/diagnostic imaging ; Gray Matter/pathology ; Humans ; Magnetic Resonance Imaging/methods ; Male ; Membrane Glycoproteins ; Molecular Chaperones ; Neuronal Ceroid-Lipofuscinoses/diagnostic imaging ; Neuronal Ceroid-Lipofuscinoses/pathology ; Young Adult
    Chemical Substances Biomarkers ; CLN3 protein, human ; Membrane Glycoproteins ; Molecular Chaperones
    Language English
    Publishing date 2022-06-14
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 123305-1
    ISSN 1432-1920 ; 0028-3940
    ISSN (online) 1432-1920
    ISSN 0028-3940
    DOI 10.1007/s00234-022-02988-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 658: Show issues Location:
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  7. Article ; Online: Natural history of MRI brain volumes in patients with neuronal ceroid lipofuscinosis 3: a sensitive imaging biomarker.

    Hochstein, Jan-Niklas / Schulz, A / Nickel, M / Lezius, S / Grosser, M / Fiehler, J / Sedlacik, J / Löbel, U

    Neuroradiology

    2022  Volume 64, Issue 10, Page(s) 1911–1912

    MeSH term(s) Biomarkers ; Brain/diagnostic imaging ; Humans ; Magnetic Resonance Imaging ; Neuroimaging ; Neuronal Ceroid-Lipofuscinoses/diagnostic imaging
    Chemical Substances Biomarkers
    Language English
    Publishing date 2022-08-30
    Publishing country Germany
    Document type Letter ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 123305-1
    ISSN 1432-1920 ; 0028-3940
    ISSN (online) 1432-1920
    ISSN 0028-3940
    DOI 10.1007/s00234-022-03039-z
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  8. Article: A bibliometric review of peripartum cardiomyopathy compared to other cardiomyopathies using artificial intelligence and machine learning.

    Grosser, M / Lin, H / Wu, M / Zhang, Y / Tipper, S / Venter, D / Lu, J / Dos Remedios, C G

    Biophysical reviews

    2022  Volume 14, Issue 1, Page(s) 381–401

    Abstract: As developments in artificial intelligence and machine learning become more widespread in healthcare, their potential to transform clinical outcomes also increases. Peripartum cardiomyopathy is a rare and poorly-characterised condition that presents as ... ...

    Abstract As developments in artificial intelligence and machine learning become more widespread in healthcare, their potential to transform clinical outcomes also increases. Peripartum cardiomyopathy is a rare and poorly-characterised condition that presents as heart failure in the last trimester prior to delivery or within 5-6 months postpartum. The lack of a definitive understanding of the molecular causes and clinical progress of this condition suggests that bibliometrics will be well-suited to creating new insights into this serious clinical problem. We examine similarities and differences between peripartum and its closely related familial dilated cardiomyopathy and idiopathic dilated cardiomyopathy. Using PubMed as the source of bibliometric data, we apply artificial intelligence-supported natural language processing to compare extracted data and genes association with these cardiomyopathies. Gene data were enhanced with additional metadata from third-party datasets and then analysed for their impact and specificity for peripartum cardiomyopathy. Artificial intelligence identified 14 genes that distinguished peripartum from both dilated and familial dilated cardiomyopathy. They are as follows:
    Language English
    Publishing date 2022-02-09
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 2486483-3
    ISSN 1867-2469 ; 1867-2450
    ISSN (online) 1867-2469
    ISSN 1867-2450
    DOI 10.1007/s12551-022-00933-x
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  9. Book ; Online: MRIReco.jl

    Knopp, Tobias / Grosser, Mirco

    An MRI Reconstruction Framework written in Julia

    2021  

    Abstract: Purpose: The aim of this work is to develop a high-performance, flexible and easy-to-use MRI reconstruction framework using the scientific programming language Julia. Methods: Julia is a modern, general purpose programming language with strong features ... ...

    Abstract Purpose: The aim of this work is to develop a high-performance, flexible and easy-to-use MRI reconstruction framework using the scientific programming language Julia. Methods: Julia is a modern, general purpose programming language with strong features in the area of signal / image processing and numerical computing. It has a high-level syntax but still generates efficient machine code that is usually as fast as comparable C/C++ applications. In addition to the language features itself, Julia has a sophisticated package management system that makes proper modularization of functionality across different packages feasible. Our developed MRI reconstruction framework MRIReco.jl can therefore reuse existing functionality from other Julia packages and concentrate on the MRI-related parts. This includes common imaging operators and support for MRI raw data formats. Results: MRIReco.jl is a simple to use framework with a high degree of accessibility. While providing a simple-to-use interface, many of its components can easily be extended and customized. The performance of MRIReco.jl is compared to the Berkeley Advanced Reconstruction Toolbox (BART) and we show that the Julia framework achieves comparable reconstruction speed as the popular C/C++ library. Conclusion: Modern programming languages can bridge the gap between high performance and accessible implementations. MRIReco.jl leverages this fact and contributes a promising environment for future algorithmic development in MRI reconstruction.
    Keywords Physics - Medical Physics ; Computer Science - Programming Languages
    Publishing date 2021-01-29
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Book ; Online: NFFT.jl

    Knopp, Tobias / Boberg, Marija / Grosser, Mirco

    Generic and Fast Julia Implementation of the Nonequidistant Fast Fourier Transform

    2022  

    Abstract: The non-equidistant fast Fourier transform (NFFT) is an extension of the famous fast Fourier transform (FFT), which can be applied to non-equidistantly sampled data in time/space or frequency domain. It is an approximative algorithm that allows to ... ...

    Abstract The non-equidistant fast Fourier transform (NFFT) is an extension of the famous fast Fourier transform (FFT), which can be applied to non-equidistantly sampled data in time/space or frequency domain. It is an approximative algorithm that allows to control the approximation error in such a way that machine precision is reached while keeping the algorithmic complexity in the same order as a regular FFT. The NFFT plays a major role in many signal processing applications and has been intensively studied from a theoretical and computational perspective. The fastest CPU implementations of the NFFT are implemented in the low-level programming languages C and C++ and require a compromise between code generalizability, code readability, and code efficiency. The programming language Julia promises new opportunities in optimizing these three conflicting goals. In this work we show that Julia indeed allows to develop an NFFT implementation, which is completely generic, dimension-agnostic and requires about 2-3 times less code than other famous libraries while still being one of the fastest NFFT implementations developed to date.

    Comment: 26 pages
    Keywords Computer Science - Mathematical Software ; Mathematics - Numerical Analysis ; 65T50 ; 65T40 ; 65Y05 ; 68N01
    Subject code 005
    Publishing date 2022-07-29
    Publishing country us
    Document type Book ; Online
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