Showing results 5783 to 5802 of 30108
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| Issue Date | Title | Involved Person(s) |
| 2021 | Decoding the fine flavour properties of chocolates : towards a better understanding of fine aroma attributes and the development of standardised training samples for sensory panels | Chetschik, Irene; Chatelain, Karin |
| 7-Dec-2022 | Decoding the fine flavour properties of dark chocolates | Ullrich, Lisa; Casty, Bettina; André, Amandine; Hühn, Tilo; Steinhaus, Martin, et al |
| 2019 | Decomposing the margins of transfer pricing | Lassmann, Andrea; Zoller-Rydzek, Benedikt |
| 13-Dec-2019 | Decomposing the margins of transfer pricing | Zoller-Rydzek, Benedikt; Lassmann, Andrea |
| 2018 | Decomposition of health inequalities between immigrants and natives in Switzerland | Tzogiou, Christina; Boes, Stefan |
| 2013 | Decomposition of large-scale crew rostering problems | Janner, Gabriele; Klinkert, Andreas |
| 2023 | Decomposition of long-term health care spending by diseases : methodological challenges and results from three high-income countries | Wieser, Simon; Stucki, Michael; Bourke, Emily; Kinge, Jonas; Dielemann, Joseph |
| 22-Nov-2021 | Decomposition of outpatient health care spending by disease : a novel approach using insurance claims data | Stucki, Michael; Nemitz, Janina; Trottmann, Maria; Wieser, Simon |
| 2018 | Deconstructed and inverted multi-criteria evaluation for on-the-fly scenario development and decision-making | Geilhausen, Martin; Laube, Patrick |
| 2015 | Decontamination of caesium aqueous solutions by ion fishing with PEG and clay | Hofmann, Thomas; Egger, Emmanuel; Leiblein, Thomas; Ellenberger, Peter |
| Feb-2023 | Deconvolution of 1D NMR spectra : a deep learning-based approach | Schmid, N.; Bruderer, S.; Paruzzo, F.; Fischetti, G.; Toscano, G., et al |
| 13-Jul-2022 | Deconvolution of NMR spectra : a deep learning-based approach | Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe, et al |
| 11-Jan-2023 | Deconvolution of NMR spectra : a deep learning-based approach | Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe, et al |
| 21-Dec-2023 | Decoupled phylogenetic and functional diversity in European grasslands | Večeřa, Martin; Axmanová, Irena; Chytrý, Milan; Divíšek, Jan; Ndiribe, Charlotte, et al |
| 2016 | Decoupling goal striving from resource depletion by forming implementation intentions | Wieber, Frank; Gollwitzer, Peter M. |
| 2022 | Decoupling hubs for sustainable urban logistics : introducing a method to define optimal locations | Scherrer, Maike; Steiner, Albert; Rühlin, Viola |
| 2022 | Deep and interpretable regression models for ordinal outcomes | Kook, Lucas; Herzog, Lisa; Hothorn, Torsten; Dürr, Oliver; Sick, Beate |
| 2014 | Deep conservation of human protein tandem repeats within the eukaryotes | Schaper, Elke; Gascuel, Olivier; Anisimova, Maria |
| 2023 | Deep ensemble inverse model for image-based estimation of solar cell parameters | Battaglia, Mattia; Comi, Ennio; Stadelmann, Thilo; Hiestand, Roman; Ruhstaller, Beat, et al |
| 2017 | Deep feature learning network for fault detection and isolation | Michau, Gabriel; Thomas, Palmé; Fink, Olga |
