@article{RuehlmannBuecheleOstermannetal.2018, author = {R{\"u}hlmann, Madlen and B{\"u}chele, Dominique and Ostermann, Markus and Bald, Ilko and Schmid, Thomas}, title = {Challenges in the quantification of nutrients in soils using laser-induced breakdown spectroscopy}, series = {Spectrochimica Acta Part B: Atomic Spectroscopy}, volume = {146}, journal = {Spectrochimica Acta Part B: Atomic Spectroscopy}, publisher = {Elsevier}, address = {Oxford}, issn = {0584-8547}, doi = {10.1016/j.sab.2018.05.003}, pages = {115 -- 121}, year = {2018}, abstract = {The quantification of the elemental content in soils with laser-induced breakdown spectroscopy (LIBS) is challenging because of matrix effects strongly influencing the plasma formation and LIBS signal. Furthermore, soil heterogeneity at the micrometre scale can affect the accuracy of analytical results. In this paper, the impact of univariate and multivariate data evaluation approaches on the quantification of nutrients in soil is discussed. Exemplarily, results for calcium are shown, which reflect trends also observed for other elements like magnesium, silicon and iron. For the calibration models, 16 certified reference soils were used. With univariate and multivariate approaches, the calcium mass fractions in 60 soils from different testing grounds in Germany were calculated. The latter approach consisted of a principal component analysis (PCA) of adequately pre-treated data for classification and identification of outliers, followed by partial least squares regression (PLSR) for quantification. For validation, the soils were also characterised with inductively coupled plasma optical emission spectroscopy (ICP OES) and X-ray fluorescence (XRF) analysis. Deviations between the LIBS quantification results and the reference analytical results are discussed.}, language = {en} } @misc{BuecheleChaoOstermannetal.2019, author = {B{\"u}chele, Dominique and Chao, Madlen and Ostermann, Markus and Leenen, Matthias and Bald, Ilko}, title = {Multivariate chemometrics as a key tool for prediction of K and Fe in a diverse German agricultural soil-set using EDXRF}, series = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe}, number = {784}, issn = {1866-8372}, doi = {10.25932/publishup-43998}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-439988}, pages = {11}, year = {2019}, abstract = {Within the framework of precision agriculture, the determination of various soil properties is moving into focus, especially the demand for sensors suitable for in-situ measurements. Energy-dispersive X-ray fluorescence (EDXRF) can be a powerful tool for this purpose. In this study a huge diverse soil set (n = 598) from 12 different study sites in Germany was analysed with EDXRF. First, a principal component analysis (PCA) was performed to identify possible similarities among the sample set. Clustering was observed within the four texture classes clay, loam, silt and sand, as clay samples contain high and sandy soils low iron mass fractions. Furthermore, the potential of uni- and multivariate data evaluation with partial least squares regression (PLSR) was assessed for accurate determination of nutrients in German agricultural samples using two calibration sample sets. Potassium and iron were chosen for testing the performance of both models. Prediction of these nutrients in 598 German soil samples with EDXRF was more accurate using PLSR which is confirmed by a better overall averaged deviation and PLSR should therefore be preferred.}, language = {en} } @article{BuecheleChaoOstermannetal.2019, author = {B{\"u}chele, Dominique and Chao, Madlen and Ostermann, Markus and Leenen, Matthias and Bald, Ilko}, title = {Multivariate chemometrics as a key tool for prediction of K and Fe in a diverse German agricultural soil-set using EDXRF}, series = {Scientific Reports}, volume = {9}, journal = {Scientific Reports}, publisher = {Macmillan Publishers Limited, part of Springer Nature}, address = {London}, issn = {2045-2322}, doi = {10.1038/s41598-019-53426-5}, pages = {11}, year = {2019}, abstract = {Within the framework of precision agriculture, the determination of various soil properties is moving into focus, especially the demand for sensors suitable for in-situ measurements. Energy-dispersive X-ray fluorescence (EDXRF) can be a powerful tool for this purpose. In this study a huge diverse soil set (n = 598) from 12 different study sites in Germany was analysed with EDXRF. First, a principal component analysis (PCA) was performed to identify possible similarities among the sample set. Clustering was observed within the four texture classes clay, loam, silt and sand, as clay samples contain high and sandy soils low iron mass fractions. Furthermore, the potential of uni- and multivariate data evaluation with partial least squares regression (PLSR) was assessed for accurate determination of nutrients in German agricultural samples using two calibration sample sets. Potassium and iron were chosen for testing the performance of both models. Prediction of these nutrients in 598 German soil samples with EDXRF was more accurate using PLSR which is confirmed by a better overall averaged deviation and PLSR should therefore be preferred.}, language = {en} } @misc{AustHeinemannHenniesetal.2014, author = {Aust, Gottfried and Heinemann, Steffi and Hennies, Johannes and Penke, Martina and Rothweiler, Monika and Wimmer, Eva and Hess, Markus and Becker, Maryanne and Ehrmann-Neuhoff, Brigitte and Hamann, Elke and Wachtlin, Bianka and Sch{\"a}fer, Blanca and W{\"u}rzner, Kay-Michael and Heister, Julian and Schroeder, Sascha and D{\"u}sterh{\"o}ft, Stefanie and Tr{\"u}ggelmann, Maria and Richter, Kerstin and Gagarina, Natalʹja Vladimirovna and Posse, Dorothea and Topaj, Nathalie and Acikg{\"o}z, Duygu and Neumann, Charleen and Baumann, Jeannine and Meyer, Sarah and Siegm{\"u}ller, Julia and K{\"o}sterke-Buchardt, Antje and Jung, Kristina and Jassens, Frank and Golchert, Kristin and Wolff von Gudenberg, Alexander and Schmidt, Sabine and Kisielewicz, Daria and Heide, Judith and G{\"o}ldner, Angie and Ostermann, Anja}, title = {Spektrum Patholinguistik = Schwerpunktthema: H{\"o}ren - Zuh{\"o}ren - Dazugeh{\"o}ren : Sprachtherapie bei H{\"o}rst{\"o}rungen und Cochlea-Implantat}, number = {7}, editor = {Adelt, Anne and Fritzsche, Tom and Roß, Jennifer and D{\"u}sterh{\"o}ft, Stefanie}, publisher = {Universit{\"a}tsverlag Potsdam}, address = {Potsdam}, organization = {Verband f{\"u}r Patholinguistik e. V.}, isbn = {978-3-86956-294-0}, issn = {1869-3822}, doi = {10.25932/publishup-6848}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-70629}, year = {2014}, abstract = {Das Herbsttreffen Patholinguistik wird seit 2007 j{\"a}hrlich vom Verband f{\"u}r Patholinguistik e.V. (vpl) durchgef{\"u}hrt. Das 7. Herbsttreffen mit dem Schwerpunktthema "H{\"o}ren - Zuh{\"o}ren - Dazugeh{\"o}ren: Sprachtherapie bei H{\"o}rst{\"o}rungen und Cochlea-Implantat" fand am 16.11.2013 in Potsdam statt. Der vorliegende Tagungsband beinhaltet die sechs Vortr{\"a}ge zum Schwerpunktthema aus verschiedenen Perspektiven: der medizinischen, der therapeutischen, der wissenschaftlichen sowie der von Betroffenen. Weiterhin sind die Beitr{\"a}ge der Posterpr{\"a}sentationen zu Themen der sprachtherapeutischen Forschung und Praxis abgedruckt.}, language = {de} } @inproceedings{EsveldVriesBecchettietal.2023, author = {Esveld, Selma van and Vries, Nardo de and Becchetti, Sibilla and Dopper, Sofia and Valkenburg, Willem van and Carlon, May Kristine Jonson and Yokoi, Kensuke and Gayed, John Maurice and Suyama, Hiroshi and Cross, Jeffrey Scott and Jin, Tonje and Xue, Wei and Bruillard, {\´E}ric and Steinbeck, Hendrik and Meinel, Christoph and {\"O}zdemir, Paker Doğu and Can Bayer, Burak and Mercan, Duygu and Buyurucu, Gamze and Haugsbakken, Halvdan and Hagelia, Marianne and Ebner, Martin and Edelsbrunner, Sarah and Hohla-Sejkora, Katharina and Lipp, Silvia and Sch{\"o}n, Sandra and Xiaoxiao, Wang and Shuangshuang, Guo and Morales-Chan, Miguel and Amado-Salvatierra, H{\´e}ctor R. and Hern{\´a}ndez-Rizzardini, Rocael and Egloffstein, Marc and H{\"u}nemohr, Holger and Ifenthaler, Dirk and Dixon, Fred and Trabucchi, Stefania and Khaneboubi, Mehdi and Giannatelli, Ada and Tomasini, Alessandra and Staubitz, Thomas and Serth, Sebastian and Thomas, Max and Koschutnig-Ebner, Markus and Rampelt, Florian and Stetten, Alexander von and Wittke, Andreas and Theeraroungchaisri, Anuchai and Thammetar, Thapanee and Duangchinda, Vorasuang and Khlaisang, Jintavee and Mair, Bettina and Steinkellner, Iris and Stojcevic, Ivana and Zwiauer, Charlotte and Thirouard, Maria and Vill{\`e}sbrunne, Marie de la and Bernaert, Oliver and Nohr, Magnus and Alario Hoyos, Carlos and Delgado Kloos, Carlos and Kiendl, Doris and Terzieva, Liliya and Concia, Francesca and Distler, Petr and Law, Gareth and Macerata, Elena and Mariani, Mario and Mossini, Eros and Negrin, Maddalena and Štrok, Marko and Neub{\"o}ck, Kristina and Linschinger, Nadine and Lorenz, Anja and Bock, Stefanie and Schulte-Ostermann, Juleka and Moura Santos, Ana and Corti, Paola and Costa, Luis Felipe Coimbra and Utunen, Heini and Attias, Melissa and Tokar, Anna and Kennedy, Eileen and Laurillard, Diana and Zeitoun, Samar and Wasilewski, Julie and Shlaka, Souhad and Ouahib, Sara and Berrada, Khalid and Dietz, Michael and Roth, Dennis}, title = {EMOOCs 2023}, editor = {Meinel, Christoph and Schweiger, Stefanie and Staubitz, Thomas and Conrad, Robert and Alario Hoyos, Carlos and Ebner, Martin and Sancassani, Susanna and Żur, Agnieszka and Friedl, Christian and Halawa, Sherif and Gamage, Dilrukshi and Cross, Jeffrey and Jonson Carlon, May Kristine and Deville, Yves and Gaebel, Michael and Delgado Kloos, Carlos and von Schmieden, Karen}, doi = {10.25932/publishup-57645}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-576450}, year = {2023}, abstract = {From June 14 to June 16, 2023, Hasso Plattner Institute, Potsdam, hosted the eighth European MOOC Stakeholder Summit (EMOOCs 2023). The pandemic is fortunately over. It has once again shown how important digital education is. How well-prepared a country was could be seen in our schools, universities, and companies. In different countries, the problems manifested themselves differently. The measures and approaches to solving the problems varied accordingly. Digital education, whether micro-credentials, MOOCs, blended learning formats, or other e-learning tools, received a major boost. EMOOCs 2023 focusses on the effects of this emergency situation. How has it affected the development and delivery of MOOCs and other e-learning offerings all over Europe? Which projects can serve as models for successful digital learning and teaching? Which roles can MOOCs and micro-credentials bear in the current business transformation? Is there a backlash to the routine we knew from pre-Corona times? Or have many things become firmly established in the meantime, e.g. remote work, hybrid conferences, etc.? Furthermore, EMOOCs 2023 has a closer look at the development and formalization of digital learning. Micro-credentials are just the starting point. Further steps in this direction would be complete online study programs or full online universities. Another main topic is the networking of learning offers and the standardization of formats and metadata. Examples of fruitful cooperations are the MOOChub, the European MOOC Consortium, and the Common Micro-Credential Framework. The learnings, derived from practical experience and research, are explored in EMOOCs 2023 in four tracks and additional workshops, covering various aspects of this field. In this publication, we present papers from the conference's Research \& Experience Track, the Business Track and the International Track.}, language = {en} } @article{ErlerRiebeBeitzetal.2023, author = {Erler, Alexander and Riebe, Daniel and Beitz, Toralf and L{\"o}hmannsr{\"o}ben, Hans-Gerd and Leenen, Mathias and P{\"a}tzold, Stefan and Ostermann, Markus and W{\´o}jcik, Michał}, title = {Mobile laser-induced breakdown spectroscopy for future application in precision agriculture}, series = {Sensors}, volume = {23}, journal = {Sensors}, number = {16}, publisher = {MDPI}, address = {Basel}, issn = {1424-8220}, doi = {10.3390/s23167178}, pages = {17}, year = {2023}, abstract = {In precision agriculture, the estimation of soil parameters via sensors and the creation of nutrient maps are a prerequisite for farmers to take targeted measures such as spatially resolved fertilization. In this work, 68 soil samples uniformly distributed over a field near Bonn are investigated using laser-induced breakdown spectroscopy (LIBS). These investigations include the determination of the total contents of macro- and micronutrients as well as further soil parameters such as soil pH, soil organic matter (SOM) content, and soil texture. The applied LIBS instruments are a handheld and a platform spectrometer, which potentially allows for the single-point measurement and scanning of whole fields, respectively. Their results are compared with a high-resolution lab spectrometer. The prediction of soil parameters was based on multivariate methods. Different feature selection methods and regression methods like PLS, PCR, SVM, Lasso, and Gaussian processes were tested and compared. While good predictions were obtained for Ca, Mg, P, Mn, Cu, and silt content, excellent predictions were obtained for K, Fe, and clay content. The comparison of the three different spectrometers showed that although the lab spectrometer gives the best results, measurements with both field spectrometers also yield good results. This allows for a method transfer to the in-field measurements.}, language = {en} }