29 research outputs found

    MPI-Ding reference glasses for in situ microanalysis: New reference values for element concentrations and isotope ratios

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    We present new analytical data of major and trace elements for the geological MPI-DING glasses KL2-G, ML3B-G, StHs6/80-G, GOR128-G, GOR132-G, BM90/21-G, T1-G, and ATHO-G. Different analytical methods were used to obtain a large spectrum of major and trace element data, in particular, EPMA, SIMS, LA-ICPMS, and isotope dilution by TIMS and ICPMS. Altogether, more than 60 qualified geochemical laboratories worldwide contributed to the analyses, allowing us to present new reference and information values and their uncertainties (at 95% confidence level) for up to 74 elements. We complied with the recommendations for the certification of geological reference materials by the International Association of Geoanalysts (IAG). The reference values were derived from the results of 16 independent techniques, including definitive (isotope dilution) and comparative bulk (e.g., INAA, ICPMS, SSMS) and microanalytical (e.g., LA-ICPMS, SIMS, EPMA) methods. Agreement between two or more independent methods and the use of definitive methods provided traceability to the fullest extent possible. We also present new and recently published data for the isotopic compositions of H, B, Li, O, Ca, Sr, Nd, Hf, and Pb. The results were mainly obtained by high-precision bulk techniques, such as TIMS and MC-ICPMS. In addition, LA-ICPMS and SIMS isotope data of B, Li, and Pb are presented

    Investigating Canopy at Red River Gorge

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    2020 Celebration of Student Research and Creativity presentationMapping change in tree canopy cover can give useful insight into topics like development of human activity and the health of a forest. In this study, remote sensing data is used to analyze tree canopy change over time at Red River Gorge in mid-Kentucky. The study results show the tree canopy change in both residential and non-residential areas in the study area. The study results can help forest managers and local governments to have a better understanding about the health of the forest and to better prepare for the process of forest management.https://youtu.be/X3dVZ1zs9M

    Computational thinking and problem-solving in the context of IEA-ICILS 2018

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    Eickelmann B, Labusch A, Vennemann M. Computational thinking and problem-solving in the context of IEA-ICILS 2018. In: Passey D, Bottino R, Lewin C, Sanchez E, eds. Empowering learners for life in the digital age. IFIP TC 3 Open Conference on Computers in Education, OCCE 2018, Linz, Austria, June 24–28, 2018, Revised Selected Papers. IFIP Advances in Information and Communication Technology. Vol 524. Cham: Springer International Publishing; 2019: 14-23

    Computational thinking and problem-solving – two sides of the same coin?

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    Labusch A, Eickelmann B, Vennemann M. Computational thinking and problem-solving – two sides of the same coin? In: Knierzinger A, Lewin C, Passey D, Sanchez E, eds. Book of Abstracts of IFIP TC3 Open Conference on Computers in Education 2018. Empowering the learner for life in the digital age. Austrian Computer Society (OCG) on behalf of the International Federation for Information Processing (IFIP); 2018: 71-72

    Comparative Exposure Assessment of ESBL-Producing Escherichia coli through Meat Consumption.

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    The presence of extended-spectrum β-lactamase (ESBL) and plasmidic AmpC (pAmpC) producing Escherichia coli (EEC) in food animals, especially broilers, has become a major public health concern. The aim of the present study was to quantify the EEC exposure of humans in The Netherlands through the consumption of meat from different food animals. Calculations were done with a simplified Quantitative Microbiological Risk Assessment (QMRA) model. The model took the effect of pre-retail processing, storage at the consumers home and preparation in the kitchen (cross-contamination and heating) on EEC numbers on/in the raw meat products into account. The contribution of beef products (78%) to the total EEC exposure of the Dutch population through the consumption of meat was much higher than for chicken (18%), pork (4.5%), veal (0.1%) and lamb (0%). After slaughter, chicken meat accounted for 97% of total EEC load on meat, but chicken meat experienced a relatively large effect of heating during food preparation. Exposure via consumption of filet americain (a minced beef product consumed raw) was predicted to be highest (61% of total EEC exposure), followed by chicken fillet (13%). It was estimated that only 18% of EEC exposure occurred via cross-contamination during preparation in the kitchen, which was the only route by which EEC survived for surface-contaminated products. Sensitivity analysis showed that model output is not sensitive for most parameters. However, EEC concentration on meat other than chicken meat was an important data gap. In conclusion, the model assessed that consumption of beef products led to a higher exposure to EEC than chicken products, although the prevalence of EEC on raw chicken meat was much higher than on beef. The (relative) risk of this exposure for public health is yet unknown given the lack of a modelling framework and of exposure studies for other potential transmission routes

    Identification of glacial meltwater runoff in a karstic environment and its implication for present and future water availability

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    Glaciers all over the world are expected to continue to retreat due to the global warming throughout the 21st century. Consequently, future seasonal water availability might become scarce once glacier areas have declined below a certain threshold affecting future water management strategies. Particular attention should be paid to glaciers located in a karstic environment, as parts of the meltwater can be drained by underlying karst systems, making it difficult to assess water availability. In this study tracer experiments, karst modeling and glacier melt modeling are combined in order to identify flow paths in a high alpine, glacierized, karstic environment (Glacier de la Plaine Morte, Switzerland) and to investigate current and predict future downstream water availability. Flow paths through the karst underground were determined with natural and fluorescent tracers. Subsequently, geologic information and the findings from tracer experiments were assembled in a karst model. Finally, glacier melt projections driven with a climate scenario were performed to discuss future water availability in the area surrounding the glacier. The results suggest that during late summer glacier meltwater is rapidly drained through well-developed channels at the glacier bottom to the north of the glacier, while during low flow season meltwater enters into the karst and is drained to the south. Climate change projections with the glacier melt model reveal that by the end of the century glacier melt will be significantly reduced in the summer, jeopardizing water availability in glacier-fed karst springs
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