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  • 1
    Online Resource
    Online Resource
    Reducing Uncertainty in Shunt Damping by Model-Predictive Product Stiffness Control in a Single Point Incremental Forming Process
    Trans Tech Publications, Ltd. ; 2018
    In:  Applied Mechanics and Materials Vol. 885 ( 2018-11), p. 35-47
    Details
    In: Applied Mechanics and Materials, Trans Tech Publications, Ltd., Vol. 885 ( 2018-11), p. 35-47
    Abstract: The stiffness of metal formed products strongly affects the dynamic behavior of structures in which they are integrated. Forming processes underlie short and long-term variations which cause the stiffness to be uncertain.In the application of resonant shunted piezoelectric transducers for vibration attenuation, uncertain stiffness may cause significant reduction in the vibration attenuation performance due to imprecise tuning. In the past, large efforts were made to control one or more geometrical feature of products while weightier features that cause uncertainty have not been addressed.In this paper, a single point incremental forming process of a membrane-like spring element on a servo press with a 3 degrees of freedom drive system is investigated. This spring element is used in a beam support for lateral vibration attenuation with resonant shunted transducers as well as axial buckling stabilization.To reduce uncertainty caused by process variations, an offline closed-loop control of product stiffness is presented. Different product and forming criteria are integrated into a control approach based on an optimization routine. By making use of a model-based prediction of the product properties, the approach shows how to realize a multi-objective control.
    Type of Medium: Online Resource
    ISSN: 1662-7482
    URL: Issue
    URL: Article
    DOI: 10.4028/www.scientific.net/AMM.885
    DOI: 10.4028/www.scientific.net/AMM.885.35
    Language: Unknown
    Publisher: Trans Tech Publications, Ltd.
    Publication Date: 2018
    detail.hit.zdb_id: 2251882-4
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  • 2
    Online Resource
    Online Resource
    Modulation of Extravascular Binding of Recombinant Factor IX Impacts the Duration of Efficacy in Mouse Models
    Georg Thieme Verlag KG ; 2023
    In:  Thrombosis and Haemostasis Vol. 123, No. 08 ( 2023-08), p. 751-762
    Details
    In: Thrombosis and Haemostasis, Georg Thieme Verlag KG, Vol. 123, No. 08 ( 2023-08), p. 751-762
    Abstract: Background There is an emerging concept that in addition to circulating coagulation factor IX (FIX), extravascular FIX contributes to hemostasis. Objective Our objective was to evaluate the efficacy of extravascular FIX using animal models of tail clip bleeding and ferric chloride-induced thrombosis. Methods Mutant rFIX proteins with described enhanced (rFIXK5R) or reduced (rFIXK5A) binding to extracellular matrix were generated and characterized using in vitro aPTT, one-stage clotting, and modified FX assays. Using hemophilia B mice, pharmacokinetic (PK) parameters and in vivo efficacy of these proteins were compared against rFIX wild-type protein (rFIXWT) in a tail clip bleeding and FeCl3-induced thrombosis model. Respective tissue disposition of FIX was evaluated using immunofluorescence. Results In vitro characterization demonstrated comparable clotting activity of rFIX proteins. The PK profile showed that rFIXK5A displayed the highest plasma exposure compared to rFIXWT and rFIXK5R. Immunofluorescence evaluation of liver tissue showed that rFIXK5R was detectable up to 24 hours, whereas rFIXWT and rFIXK5A were detectable only up to 15 minutes. In the tail clip bleeding model, rFIXK5R displayed significant hemostatic protection against bleeding incidence for up to 72 hours postintravenous administration of 50 IU/kg, whereas the efficacy of rFIXK5A was already reduced at 24 hours. Similarly, in the mesenteric artery thrombus model, rFIXK5R and rFIXWT demonstrated prolonged efficacy compared to rFIXK5A. Conclusion Using two different in vivo models of hemostasis and thrombosis, we demonstrate that mutated rFIX protein with enhanced binding (rFIXK5R) to extravascular space confers prolonged hemostatic efficacy in vivo despite lower plasma exposure, whereas rFIXK5A rapidly lost its efficacy despite higher plasma exposure.
    Type of Medium: Online Resource
    ISSN: 0340-6245 , 2567-689X
    URL: Article
    DOI: 10.1055/a-2090-9739
    Language: English
    Publisher: Georg Thieme Verlag KG
    Publication Date: 2023
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  • 3
    Online Resource
    Online Resource
    Glioblastoma evolution pattern under surgery and radio(chemo)therapy (RCHT) to identify novel methylome based glioma subtypes.
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. 2012-2012
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. 2012-2012
    Abstract: 2012 Background: Identification of isocitrate dehydrogenase mutations (IDHm) and glioma CpG island methylator phenotype (G-CIMP) as well as methylation of O6-methylguanine DNA methyltransferase (MGMT) promotor has substantially improved stratification of glioma patients into prognostic subgroups. In extension of static pre-therapy diagnostic, we sought to investigate the impact of glioblastoma evolution under selection pressure of standard therapy on methylome level. Methods: For the training cohort (T), methylome (450k Illumina) data of paired samples from 50 patients with glioblastoma (GBM, 11 G-CIMP+) were analyzed, i.e., primary (P) and at the time point of recurrence (R, re-surgery) after standard therapy at NCT. For 39 pairs matching RNASeq data was analyzed. Validation cohorts consisted of Heidelberg (V1) total n = 650, GBM (n:585, 8 G-CIMP+), grade III (n:65, CIMP+ 65), Austrian GBM (V2, n = 499, 36 IDHm, pyrosequencing data) and the TCGA (V3) Lower-grade-glioma cohort (LGG, n = 477, grade III n: 247, 178 G-CIMP+, grade II n: 228, 206 G-CIMP+). Results: Limited number of consensus differentially methylated probes (DMP) were found across all P vs. R samples (nCpG = 411 CpGs, FDR 〈 0.05). In contrast, heterogeneity in GBM evolution was found by similarity analysis of delta-methylome data of 50 PR pairs resulting in two distinct clinical subgroups and one “intermediate” group. Intriguingly, n = 114.652 DMP (FDR 〈 0.05) was found by comparing the evolutionary “poor” (n = 15) vs. “good” (n = 13) GBM phenotypes. A random forest classifier was built to identify the evolutionary subgroups in P samples. The performance of “good” prognosis classifier was in T cohort HR: 0.54 [0.30-0.97], p = 0.04; V1: 0.57 [0.43-0.76] , p 〈 0.001, V2: 0.62 [0.47-0.82], p 〈 0.001, LGG: 0.16 [0.08-0.32], p 〈 0.001. In “good” prognosis group (T), neither G-CIMP+ (n = 3) nor MGMT-STP27 (oddsratio, OR: 0.56, p = 0.47) was enriched. MGMT-STP27 OR was 0.47 (V1, p = 0.47) or 1.28 (V2, p = 0.45), respectively. The evolutionary subgroups remain prognostic independent of GCIMP status in LGG (V3). “Poor” glioma are enriched for RTKI/II methylome subtypes, and contain less frequently the mesenchymal subtype. Bevacizumab treatment showed a survival benefits only in “poor” subtype (V1+2). Conclusions: Discovery of a methylome based classifier of glioma evolution informs on “good” and “poor” prognosis subtypes and may have ramification for stratifying patients for therapy such as e.g., antiangiogenesis.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2019.37.15_suppl.2012
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
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  • 4
    Online Resource
    Online Resource
    cnAnalysis450k: an R package for comparative analysis of 450k/EPIC Illumina methylation array derived copy number data
    Oxford University Press (OUP) ; 2017
    In:  Bioinformatics Vol. 33, No. 15 ( 2017-08-01), p. 2266-2272
    Details
    In: Bioinformatics, Oxford University Press (OUP), Vol. 33, No. 15 ( 2017-08-01), p. 2266-2272
    Abstract: Detailed copy number (CN) variation data can be obtained from 450k or EPIC Illumina methylation assays. However, the effects of different preprocessing strategies (normalization, transformation and selection of gain/loss cutoff values) on variant calling have not been evaluated systematically. Results We provide an R package which allows to directly compare any preprocessed CN data. It provides its own CN alteration detection methodology: segments are identified through detection of changes in variance of CN data and are subsequently filtered for significance. Meaningful cutoffs for gain/loss definition can be identified automatically through analysis of the resulting ΔCN distributions of all analyzed samples. Three exemplary datasets (2x450k, 1xEPIC) were selected for comparative analyses of Raw, Illumina, SWAN, Quantile, Noob, Funnorm and Dasen normalizations. Importantly, all CN data distributions were skewed (-0.66 to -1.2) therefore requiring different gain/loss cutoffs. Depending on the normalization method, prominent baseline differences between samples could be observed. We present a workflow, which alleviates both issues: Z-transformation removes baseline differences between samples, and automatic cutoff selection circumvents the problems accompanying the skewed distributions. Additional filtering of candidates by significance yields comparable results for most enumerated normalization methods except for SWAN. In contrast, manual cutoff determination results in highly variable numbers of variant calls, highly dependent on the selected normalization method. Taken together, we present a workflow which allows to robustly identify copy number alterations in methylation array data fairly independent of the applied normalization. Availability and Implementation The cnAnalysis450k package is available on github (https://github.com/mknoll/cnAnalysis450k). Supplementary information Supplementary data are available at Bioinformatics online.
    Type of Medium: Online Resource
    ISSN: 1367-4803 , 1367-4811
    URL: Article
    DOI: 10.1093/bioinformatics/btx156
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2017
    detail.hit.zdb_id: 1468345-3
    SSG: 12
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  • 5
    Online Resource
    Online Resource
    Fluorescence intensities of chromophores in front of a thin metal film
    AIP Publishing ; 2004
    In:  The Journal of Chemical Physics Vol. 120, No. 7 ( 2004-02-15), p. 3439-3445
    Details
    In: The Journal of Chemical Physics, AIP Publishing, Vol. 120, No. 7 ( 2004-02-15), p. 3439-3445
    Abstract: The fluorescence intensity from a planar multilayered system with a chromophore separated from a gold film by a dielectric spacer is measured quantitatively. The direction of excitation and the spacer thickness are varied and the angular distribution of the emission is recorded as well as its polarization. The experimental data are compared to the predictions obtained from classical electromagnetic theory, taking into account the refractive indices of the layer system as well as the nonradiative decay rate and the relative orientation of absorption and emission dipole moments of the dye. Excellent agreement is found for a spacer thickness above 15 nm if proper values for these parameters are used. Samples with thinner spacer layers show significant deviations from classical theory.
    Type of Medium: Online Resource
    ISSN: 0021-9606 , 1089-7690
    URL: Article
    DOI: 10.1063/1.1640341
    Language: English
    Publisher: AIP Publishing
    Publication Date: 2004
    detail.hit.zdb_id: 3113-6
    detail.hit.zdb_id: 1473050-9
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  • 6
    Online Resource
    Online Resource
    Rooting for feed: Mixing corn pellets into rooting material tends to increase the presence of grower and finisher pigs in the rooting area but not its cleanliness
    Elsevier BV ; 2021
    In:  Applied Animal Behaviour Science Vol. 241 ( 2021-08), p. 105379-
    Details
    In: Applied Animal Behaviour Science, Elsevier BV, Vol. 241 ( 2021-08), p. 105379-
    Type of Medium: Online Resource
    ISSN: 0168-1591
    URL: Article
    DOI: 10.1016/j.applanim.2021.105379
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 1495873-9
    SSG: 22
    SSG: 12
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  • 7
    Online Resource
    Online Resource
    Prediction of Coating Adhesion on Laser-Cleaned Metal Surfaces of Battery Cells Using Hyperspectral Imaging and Machine Learning
    MDPI AG ; 2021
    In:  Coatings Vol. 11, No. 11 ( 2021-11-14), p. 1388-
    Details
    In: Coatings, MDPI AG, Vol. 11, No. 11 ( 2021-11-14), p. 1388-
    Abstract: Electric vehicles are shaping the future of the automotive industry. The traction battery is one of the most important components of electric cars. To ensure that the battery operates safely, it is essential to physically and electrically separate the cells facing each other. Coating a cell with varnish helps achieve this goal. Current studies use a destructive method on a sampling basis, the cross-cut test, to investigate the coating quality. In this paper, we present a fast, nondestructive and inline alternative based on hyperspectral imaging and artificial intelligence. Therefore, battery cells are measured with hyperspectral cameras in the visible and near-infrared (VNIR and NIR) parts of the electromagnetic spectrum before and after cleaning then coated and finally subjected to cross-cut test to estimate coating adhesion. During the cross-cut test, the cell coating is destroyed. This work aims to replace cross-cut tests with hyperspectral imaging (HSI) and machine learning to achieve continuous quality control, protect the environment, and save costs. Therefore, machine learning models (logistic regression, random forest, and support vector machines) are used to predict cross-cut test results based on hyperspectral data. We show that it is possible to predict with an accuracy of ~75% whether problems with coating adhesion will occur. Hyperspectral measurements in the near-infrared part of the spectrum yielded the best results. The results show that the method is suitable for automated quality control and process control in battery cell coating, but still needs to be improved to achieve higher accuracies.
    Type of Medium: Online Resource
    ISSN: 2079-6412
    URL: Article
    DOI: 10.3390/coatings11111388
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2662314-6
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  • 8
    Online Resource
    Online Resource
    Deep learning-based classification of blue light cystoscopy imaging during transurethral resection of bladder tumors
    Springer Science and Business Media LLC ; 2021
    In:  Scientific Reports Vol. 11, No. 1 ( 2021-06-02)
    Details
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2021-06-02)
    Abstract: Bladder cancer is one of the top 10 frequently occurring cancers and leads to most cancer deaths worldwide. Recently, blue light (BL) cystoscopy-based photodynamic diagnosis was introduced as a unique technology to enhance the detection of bladder cancer, particularly for the detection of flat and small lesions. Here, we aim to demonstrate a BL image-based artificial intelligence (AI) diagnostic platform using 216 BL images, that were acquired in four different urological departments and pathologically identified with respect to cancer malignancy, invasiveness, and grading. Thereafter, four pre-trained convolution neural networks were utilized to predict image malignancy, invasiveness, and grading. The results indicated that the classification sensitivity and specificity of malignant lesions are 95.77% and 87.84%, while the mean sensitivity and mean specificity of tumor invasiveness are 88% and 96.56%, respectively. This small multicenter clinical study clearly shows the potential of AI based classification of BL images allowing for better treatment decisions and potentially higher detection rates.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    URL: Article
    DOI: 10.1038/s41598-021-91081-x
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2615211-3
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  • 9
    Online Resource
    Online Resource
    An R package for an integrated evaluation of statistical approaches to cancer incidence projection
    Springer Science and Business Media LLC ; 2020
    In:  BMC Medical Research Methodology Vol. 20, No. 1 ( 2020-12)
    Details
    In: BMC Medical Research Methodology, Springer Science and Business Media LLC, Vol. 20, No. 1 ( 2020-12)
    Abstract: Projection of future cancer incidence is an important task in cancer epidemiology. The results are of interest also for biomedical research and public health policy. Age-Period-Cohort (APC) models, usually based on long-term cancer registry data ( 〉  20 yrs), are established for such projections. In many countries (including Germany), however, nationwide long-term data are not yet available. General guidance on statistical approaches for projections using rather short-term data is challenging and software to enable researchers to easily compare approaches is lacking. Methods To enable a comparative analysis of the performance of statistical approaches to cancer incidence projection, we developed an R package (incAnalysis), supporting in particular Bayesian models fitted by Integrated Nested Laplace Approximations (INLA). Its use is demonstrated by an extensive empirical evaluation of operating characteristics (bias, coverage and precision) of potentially applicable models differing by complexity. Observed long-term data from three cancer registries (SEER-9, NORDCAN, Saarland) was used for benchmarking. Results Overall, coverage was high (mostly 〉  90%) for Bayesian APC models (BAPC), whereas less complex models showed differences in coverage dependent on projection-period. Intercept-only models yielded values below 20% for coverage. Bias increased and precision decreased for longer projection periods ( 〉  15 years) for all except intercept-only models. Precision was lowest for complex models such as BAPC models, generalized additive models with multivariate smoothers and generalized linear models with age x period interaction effects. Conclusion The incAnalysis R package allows a straightforward comparison of cancer incidence rate projection approaches. Further detailed and targeted investigations into model performance in addition to the presented empirical results are recommended to derive guidance on appropriate statistical projection methods in a given setting.
    Type of Medium: Online Resource
    ISSN: 1471-2288
    URL: Article
    DOI: 10.1186/s12874-020-01133-5
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2041362-2
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  • 10
    Online Resource
    Online Resource
    Challenges to use flexibility in low-voltage networks – results of a pilot project
    Institution of Engineering and Technology (IET) ; 2020
    In:  CIRED - Open Access Proceedings Journal Vol. 2020, No. 1 ( 2020-01-01), p. 297-300
    Details
    In: CIRED - Open Access Proceedings Journal, Institution of Engineering and Technology (IET), Vol. 2020, No. 1 ( 2020-01-01), p. 297-300
    Type of Medium: Online Resource
    ISSN: 2515-0855
    URL: Article
    DOI: 10.1049/oap-cired.2021.0039
    Language: English
    Publisher: Institution of Engineering and Technology (IET)
    Publication Date: 2020
    detail.hit.zdb_id: 2916198-8
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