Analyse eines beispielhaften elektrisch leistungsverzweigten Stufenlosgetriebes (ECVT)

Elektrische stufenlose Getriebestrukturen für Traktoren können bei der Entwicklung zukünftiger Fahrzeuggetriebe eine Schlüsselrolle spielen, was eine detaillierte Analysemöglichkeit erfordert. Aufbauend auf der in [5] vorgestellten Methodik zur effizienten Berechnung und Analyse beliebiger Stufenlosgetriebe wird eine Erweiterung vorgestellt, welche es ermöglicht genaue Aussagen zur Systemeffizienz von ECVTs durch Einbeziehung von Getriebeverlusten zu treffen. Darüber hinaus werden die möglichen Grundstrukturen unter dem Aspekt der Leistungsentnahme am Variator betrachtet. Angewendet auf ein beispielhaftes ECVT zeigt sich, dass es bei einer Leistungsentnahme in weiten Bereichen des betrachteten Kennfeldes durch den guten Teillastwirkungsgrad der Elektromotoren zur Verbesserung des Systemwirkungsgrads kommen kann

Efficient analysis of complex continuously variable power split transmissions with multiple in- and outputs

Moderne Traktoren besitzen Fahrantriebe mit mehreren Leistungsausgängen für unterschiedliche Energieformen, z.B. die Zapfwelle, die Arbeitshydraulik, den Fahrantrieb oder elektrische Steckdosen. Eine schnelle und einfache Berechnung von Leistungen und Drehzahlen neuer Getriebekonzepte ist in der frühen Phase der Produktentwicklung besonders wichtig. Es wird daher, aufbauend auf dem Stand der Technik, eine Methodik zur effizienten Darstellung und Berechnung solcher Getriebestrukturen vorgestellt und anhand eines ausgewählten Beispielsystems erläutert. Abschließend werden der Leistungsfluss und der Getriebewirkungsgrad dreier Getriebestrukturen in unterschiedlichen Detaillierungsstufen verglichen. Die Ergebnisse unterstreichen die Effizienz und Flexibilität der erarbeiteten Methodik für unterschiedliche Anwendungsgebiete

A Generic Liquid Chromatography-Tandem Mass Spectrometry Exposome Method for the Determination of Xenoestrogens in Biological Matrices.

We are constantly exposed to a variety of environmental contaminants and hormones, including those mimicking endogenous estrogens. These highly heterogeneous molecules are collectively referred to as xenoestrogens and hold the potential to affect and alter the delicate hormonal balance of the human body. To monitor exposure and investigate potential health implications, comprehensive analytical methods covering all major xenoestrogen classes are needed but not available to date. Herein, we describe a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the simultaneous determination of multiple classes of endogenous as well as exogenous estrogens in human urine, serum, and breast milk to enable proper exposure and risk assessment. In total, 75 analytes were included, whereof a majority was successfully in-house validated in the three matrices. Extraction recoveries of validated analytes ranged from 71% to 110% and limits of quantification from 0.015 to 5 μg/L, 0.03 to 14 μg/L, and 0.03 to 4.6 μg/L in urine, serum, and breast milk, respectively. The applicability of the novel method was demonstrated in proof-of-principle experiments by analyzing urine from Austrian individuals and breast milk from Austrian and Nigerian individuals. Thereby, we proved the methods' feasibility to identify and quantify different classes of xenoestrogens simultaneously. The results illustrate the general importance of multiclass exposure assessment in the context of the exposome paradigm. Specifically, they highlight the need for estimating total estrogenic burden rather than single analyte or chemical class measurements and its potential impact in endocrine disruption and hormone related diseases including cancers

Response of intestinal HT-29 cells to the trichothecene mycotoxin deoxynivalenol and its sulfated conjugates

Abstract The sulfated forms of the Fusarium toxin deoxynivalenol (DON), deoxynivalenol-3-sulfate (DON-3-Sulf) and deoxynivalenol-15-sulfate (DON-15-Sulf) were recently described, however little is known about their mechanism of action in mammalian cells. DON-3-Sulf and DON-15-Sulf were taken up by HT-29 colon carcinoma cells, although to a lesser extent compared to DON. All three compounds were found to enhance the intracellular ROS level in the dichlorofluorescein assay (≥ 1μM), even though substantial differences were observed in their cytotoxic potential. In silico modelling highlighted that DON-sulfates do not share the classical mechanism of action of DON, being unable to fit into the ribosomal pocket and trigger the classical ribotoxic stress response. However, DON-3-Sulf and DON-15-Sulf sustained a distinctive proliferative stimulus in HT-29 and activated autophagy. The mechanisms of action of DON-3-Sulf and DON-15-Sulf suggest a potential interplay between the onset of ribosomal inhibition and autophagy activation as an alternative and/or complementary mode of action for DON and its sulfated analogues

Tumor cell load and heterogeneity estimation from diffusion-weighted MRI calibrated with histological data: an example from lung cancer

Producción CientíficaDiffusion-weighted magnetic resonance imaging (DWI) is a key non-invasive imaging technique for cancer diagnosis and tumor treatment assessment, reflecting Brownian movement of water molecules in tissues. Since densely packed cells restrict molecule mobility, tumor tissues produce usually higher signal (a.k.a. less attenuated signal) on isotropic maps compared with normal tissues. However, no general quantitative relation between DWI data and the cell density has been established. In order to link low-resolution clinical cross-sectional data with high-resolution histological information, we developed an image processing and analysis chain, which was used to study the correlation between the diffusion coefficient (D value) estimated from DWI and tumor cellularity from serial histological slides of a resected non-small cell lung cancer tumor. Color deconvolution followed by cell nuclei segmentation was performed on digitized histological images to determine local and cell-type specific 2d (two-dimensional) densities. From these, the 3d cell density was inferred by a model-based sampling technique, which is necessary for the calculation of local and global 3d tumor cell count. Next, DWI sequence information was overlaid with high-resolution CT data and the resected histology using prominent anatomical hallmarks for co-registration of histology tissue blocks and non-invasive imaging modalities' data. The integration of cell numbers information and DWI data derived from different tumor areas revealed a clear negative correlation between cell density and D value. Importantly, spatial tumor cell density can be calculated based on DWI data. In summary, our results demonstrate that tumor cell count and heterogeneity can be predicted from DWI data, which may open new opportunities for personalized diagnosis and therapy optimization

Tracking emerging mycotoxins in food: development of an LC-MS/MS method for free and modified Alternaria toxins

Mycotoxins produced by Alternaria fungi are ubiquitous food contaminants, but analytical methods for generating comprehensive exposure data are rare. We describe the development of an LC-MS/MS method covering 17 toxins for investigating the natural occurrence of free and modified Alternaria toxins in tomato sauce, sunflower seed oil, and wheat flour. Target analytes included alternariol (AOH), AOH-3-glucoside, AOH-9-glucoside, AOH-3-sulfate, alternariol monomethyl ether (AME), AME-3-glucoside, AME-3-sulfate, altenuene, isoaltenuene, tenuazonic acid (TeA), tentoxin (TEN), altertoxin I and II, alterperylenol, stemphyltoxin III, altenusin, and altenuic acid III. Extensive optimization resulted in a time- and cost-effective sample preparation protocol and a chromatographic baseline separation of included isomers. Overall, adequate limits of detection (0.03–9 ng/g) and quantitation (0.6–18 ng/g), intermediate precision (9–44%), and relative recovery values (75–100%) were achieved. However, stemphyltoxin III, AOH-3-sulfate, AME-3-sulfate, altenusin, and altenuic acid III showed recoveries in wheat flour below 70%, while their performance was stable and reproducible. Our pilot study with samples from the Austrian retail market demonstrated that tomato sauces (n = 12) contained AOH, AME, TeA, and TEN in concentrations up to 20, 4, 322, and 0.6 ng/g, while sunflower seed oil (n = 7) and wheat flour samples (n = 9) were contaminated at comparatively lower levels. Interestingly and of relevance for risk assessment, AOH-9-glucoside, discovered for the first time in naturally contaminated food items, and AME-3-sulfate were found in concentrations similar to their parent toxins. In conclusion, the established multi-analyte method proved to be fit for purpose for generating comprehensive Alternaria toxin occurrence data in different food matrices

Natural occurrence, exposure assessment & risk characterization of Alternaria mycotoxins in apple by‑products in Argentina

Data on the natural occurrence of Alternaria mycotoxins in apple by-products is lacking in Argentina and the risk of exposure to these mycotoxins has not been characterized before. The levels of alternariol (AOH), alternariol monomethyl ether (AME), altenuene (ALT), tenuazonic acid (TeA), tentoxin (TEN), altertoxin-I (ATX-I), altertoxin-II (ATX-II), alternariol 3-sulfate (AOH-3-S), alternariol 3-glucoside (AOH-3-G), alternariol monomethyl ether 3-sulfate (AME-3-S), and alternariol monomethyl ether 3-glucoside (AME-3-G) were determined in clarified and cloudy apple juices, marmalades, and apple-based infant food from the Argentinean market, and the risk of exposure was characterized. Detectable levels of AME, TEN, TeA, AME-3-S and AOH-3-G were found in clarified juices, while the same mycotoxins plus AOH were found in cloudy apple juices in higher concentrations. AME, TEN, TeA and AOH-3G were detected in marmalades, and AOH, AME, TEN and TeA in apple infant food. Probabilistic exposure assessment and risk characterization were carried out for children between 6 months and 5 years old in Argentina. The highest risk of exposure affected children between 6 and 23 months from the consumption of apple infant food and mainly associated with the alternariols. Better control strategies to prevent the incorporation of Alternaria mouldy core into the process line and the establishment of legislation for Alternaria mycotoxins are needed in Argentina

Patch-based nonlinear image registration for gigapixel whole slide images

Producción CientíficaImage registration of whole slide histology images allows the fusion of fine-grained information-like different immunohistochemical stains-from neighboring tissue slides. Traditionally, pathologists fuse this information by looking subsequently at one slide at a time. If the slides are digitized and accurately aligned at cell level, automatic analysis can be used to ease the pathologist's work. However, the size of those images exceeds the memory capacity of regular computers. Methods: We address the challenge to combine a global motion model that takes the physical cutting process of the tissue into account with image data that is not simultaneously globally available. Typical approaches either reduce the amount of data to be processed or partition the data into smaller chunks to be processed separately. Our novel method first registers the complete images on a low resolution with a nonlinear deformation model and later refines this result on patches by using a second nonlinear registration on each patch. Finally, the deformations computed on all patches are combined by interpolation to form one globally smooth nonlinear deformation. The NGF distance measure is used to handle multistain images. Results: The method is applied to ten whole slide image pairs of human lung cancer data. The alignment of 85 corresponding structures is measured by comparing manual segmentations from neighboring slides. Their offset improves significantly, by at least 15%, compared to the low-resolution nonlinear registration. Conclusion/Significance: The proposed method significantly improves the accuracy of multistain registration which allows us to compare different antibodies at cell level

Palbociclib and fulvestrant act in synergy to modulate central carbon metabolism in breast cancer cells

The aims of this study were to determine whether combination chemotherapeutics exhibit a synergistic effect on breast cancer cell metabolism. Palbociclib, is a selective inhibitor of cyclin-dependent kinases 4 and 6, and when patients are treated in combination with fulvestrant, an estrogen receptor antagonist, they have improved progression-free survival. The mechanisms for this survival advantage are not known. Therefore, we analyzed metabolic and transcriptomic changes in MCF-7 cells following single and combination chemotherapy to determine whether selective metabolic pathways are targeted during these different modes of treatment. Individually, the drugs caused metabolic disruption to the same metabolic pathways, however fulvestrant additionally attenuated the pentose phosphate pathway and the production of important coenzymes. A comprehensive effect was observed when the drugs were applied together, confirming the combinatory therapy’s synergism in the cell model. This study also highlights the power of merging high-dimensional datasets to unravel mechanisms involved in cancer metabolism and therapy