TY - JOUR A1 - Rühlmann, Madlen A1 - Büchele, Dominique A1 - Ostermann, Markus A1 - Bald, Ilko A1 - Schmid, Thomas T1 - Challenges in the quantification of nutrients in soils using laser-induced breakdown spectroscopy BT - a case study with calcium JF - Spectrochimica Acta Part B: Atomic Spectroscopy N2 - 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. KW - Laser-induced breakdown spectroscopy (LIBS) KW - Soil KW - Multivariate data analysis KW - Principal component analysis (PCA) KW - Partial least squares regression (PLSR) Y1 - 2018 U6 - https://doi.org/10.1016/j.sab.2018.05.003 SN - 0584-8547 VL - 146 SP - 115 EP - 121 PB - Elsevier CY - Oxford ER - TY - GEN A1 - Büchele, Dominique A1 - Chao, Madlen A1 - Ostermann, Markus A1 - Leenen, Matthias A1 - Bald, Ilko T1 - Multivariate chemometrics as a key tool for prediction of K and Fe in a diverse German agricultural soil-set using EDXRF T2 - Postprints der Universität Potsdam Mathematisch-Naturwissenschaftliche Reihe N2 - 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. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 784 Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-439988 SN - 1866-8372 IS - 784 ER - TY - JOUR A1 - Büchele, Dominique A1 - Chao, Madlen A1 - Ostermann, Markus A1 - Leenen, Matthias A1 - Bald, Ilko T1 - Multivariate chemometrics as a key tool for prediction of K and Fe in a diverse German agricultural soil-set using EDXRF JF - Scientific Reports N2 - 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. Y1 - 2019 U6 - https://doi.org/10.1038/s41598-019-53426-5 SN - 2045-2322 VL - 9 PB - Macmillan Publishers Limited, part of Springer Nature CY - London ER - TY - JOUR A1 - Aust, Gottfried A1 - Heinemann, Steffi A1 - Hennies, Johannes A1 - Penke, Martina A1 - Rothweiler, Monika A1 - Wimmer, Eva A1 - Hess, Markus A1 - Becker, Maryanne A1 - Ehrmann-Neuhoff, Brigitte A1 - Hamann, Elke A1 - Wachtlin, Bianka A1 - Schäfer, Blanca A1 - Würzner, Kay-Michael A1 - Heister, Julian A1 - Schroeder, Sascha A1 - Düsterhöft, Stefanie A1 - Trüggelmann, Maria A1 - Richter, Kerstin A1 - Gagarina, Natalʹja Vladimirovna A1 - Posse, Dorothea A1 - Topaj, Nathalie A1 - Acikgöz, Duygu A1 - Neumann, Charleen A1 - Baumann, Jeannine A1 - Meyer, Sarah A1 - Siegmüller, Julia A1 - Kösterke-Buchardt, Antje A1 - Jung, Kristina A1 - Jassens, Frank A1 - Golchert, Kristin A1 - Wolff von Gudenberg, Alexander A1 - Schmidt, Sabine A1 - Kisielewicz, Daria A1 - Heide, Judith A1 - Göldner, Angie A1 - Ostermann, Anja ED - Adelt, Anne ED - Fritzsche, Tom ED - Roß, Jennifer ED - Düsterhöft, Stefanie T1 - Spektrum Patholinguistik = Schwerpunktthema: Hören – Zuhören – Dazugehören : Sprachtherapie bei Hörstörungen und Cochlea-Implantat T1 - Spektrum Patholinguistik = Focus topic: hear – listen – participate : language therapy for people with hearing loss or Cochlear Implants N2 - Das Herbsttreffen Patholinguistik wird seit 2007 jährlich vom Verband für Patholinguistik e.V. (vpl) durchgeführt. Das 7. Herbsttreffen mit dem Schwerpunktthema "Hören – Zuhören – Dazugehören: Sprachtherapie bei Hörstörungen und Cochlea-Implantat" fand am 16.11.2013 in Potsdam statt. Der vorliegende Tagungsband beinhaltet die sechs Vorträge zum Schwerpunktthema aus verschiedenen Perspektiven: der medizinischen, der therapeutischen, der wissenschaftlichen sowie der von Betroffenen. Weiterhin sind die Beiträge der Posterpräsentationen zu Themen der sprachtherapeutischen Forschung und Praxis abgedruckt. N2 - The 'Herbsttreffen Patholinguistik' is an annual conference organized by the Association for Patholinguistics (Verband für Patholinguistik e.V./vpl) since 2007. The seventh edition of this event took place on November 16 2013 in Potsdam and had as its focus topic "Hear – Listen– Participate: Language Therapy for People with Hearing Loss or Cochlear Implants". These proceedings contain the keynote talks covering the medical, therapeutic, and scientific perspectives as well as the view from two users of cochlear implants. The second part comprises the contributions to the poster session from different areas of speech/language therapy research and practice. T3 - Spektrum Patholinguistik - 7 KW - Patholinguistik KW - Sprachtherapie KW - Hörstörungen KW - Cochlea-Implantat KW - Hören KW - patholinguistics KW - speech/language therapy KW - hearing loss KW - cochlear implant KW - hearing Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-70629 SN - 978-3-86956-294-0 SN - 1869-3822 SN - 1866-9433 IS - 7 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - CHAP A1 - Esveld, Selma van A1 - Vries, Nardo de A1 - Becchetti, Sibilla A1 - Dopper, Sofia A1 - Valkenburg, Willem van A1 - Carlon, May Kristine Jonson A1 - Yokoi, Kensuke A1 - Gayed, John Maurice A1 - Suyama, Hiroshi A1 - Cross, Jeffrey Scott A1 - Jin, Tonje A1 - Xue, Wei A1 - Bruillard, Éric A1 - Steinbeck, Hendrik A1 - Meinel, Christoph A1 - Özdemir, Paker Doğu A1 - Can Bayer, Burak A1 - Mercan, Duygu A1 - Buyurucu, Gamze A1 - Haugsbakken, Halvdan A1 - Hagelia, Marianne A1 - Ebner, Martin A1 - Edelsbrunner, Sarah A1 - Hohla-Sejkora, Katharina A1 - Lipp, Silvia A1 - Schön, Sandra A1 - Xiaoxiao, Wang A1 - Shuangshuang, Guo A1 - Morales-Chan, Miguel A1 - Amado-Salvatierra, Héctor R. A1 - Hernández-Rizzardini, Rocael A1 - Egloffstein, Marc A1 - Hünemohr, Holger A1 - Ifenthaler, Dirk A1 - Dixon, Fred A1 - Trabucchi, Stefania A1 - Khaneboubi, Mehdi A1 - Giannatelli, Ada A1 - Tomasini, Alessandra A1 - Staubitz, Thomas A1 - Serth, Sebastian A1 - Thomas, Max A1 - Koschutnig-Ebner, Markus A1 - Rampelt, Florian A1 - Stetten, Alexander von A1 - Wittke, Andreas A1 - Theeraroungchaisri, Anuchai A1 - Thammetar, Thapanee A1 - Duangchinda, Vorasuang A1 - Khlaisang, Jintavee A1 - Mair, Bettina A1 - Steinkellner, Iris A1 - Stojcevic, Ivana A1 - Zwiauer, Charlotte A1 - Thirouard, Maria A1 - Villèsbrunne, Marie de la A1 - Bernaert, Oliver A1 - Nohr, Magnus A1 - Alario Hoyos, Carlos A1 - Delgado Kloos, Carlos A1 - Kiendl, Doris A1 - Terzieva, Liliya A1 - Concia, Francesca A1 - Distler, Petr A1 - Law, Gareth A1 - Macerata, Elena A1 - Mariani, Mario A1 - Mossini, Eros A1 - Negrin, Maddalena A1 - Štrok, Marko A1 - Neuböck, Kristina A1 - Linschinger, Nadine A1 - Lorenz, Anja A1 - Bock, Stefanie A1 - Schulte-Ostermann, Juleka A1 - Moura Santos, Ana A1 - Corti, Paola A1 - Costa, Luis Felipe Coimbra A1 - Utunen, Heini A1 - Attias, Melissa A1 - Tokar, Anna A1 - Kennedy, Eileen A1 - Laurillard, Diana A1 - Zeitoun, Samar A1 - Wasilewski, Julie A1 - Shlaka, Souhad A1 - Ouahib, Sara A1 - Berrada, Khalid A1 - Dietz, Michael A1 - Roth, Dennis ED - Meinel, Christoph ED - Schweiger, Stefanie ED - Staubitz, Thomas ED - Conrad, Robert ED - Alario Hoyos, Carlos ED - Ebner, Martin ED - Sancassani, Susanna ED - Żur, Agnieszka ED - Friedl, Christian ED - Halawa, Sherif ED - Gamage, Dilrukshi ED - Cross, Jeffrey ED - Jonson Carlon, May Kristine ED - Deville, Yves ED - Gaebel, Michael ED - Delgado Kloos, Carlos ED - von Schmieden, Karen T1 - EMOOCs 2023 BT - Post-Covid Prospects for Massive Open Online Courses - Boost or Backlash? N2 - 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. N2 - Vom 14. bis 16. Juni 2023 fand am Hasso-Plattner-Institut in Potsdam der achte European MOOC Stakeholder Summit (EMOOCs 2023) statt. Die Pandemie ist zum Glück vorbei. Sie hat einmal mehr gezeigt, wie wichtig digitale Bildung ist. Wie gut ein Land darauf vorbereitet war, zeigte sich in unseren Schulen, Universitäten und Unternehmen. In den verschiedenen Ländern haben sich die Probleme unterschiedlich manifestiert. Entsprechend unterschiedlich waren auch die Maßnahmen und Lösungsansätze. Die digitale Bildung, ob Micro-Credentials, MOOCs, Blended-Learning-Formate oder andere E-Learning-Tools, erhielt einen großen Schub. EMOOCs 2023 befasst sich mit den Auswirkungen dieser Notsituation. Wie hat sie die Entwicklung und Bereitstellung von MOOCs und anderen E-Learning-Angeboten in ganz Europa beeinflusst? Welche Projekte können als Modelle für erfolgreiches digitales Lernen und Lehren dienen? Welche Rolle können MOOCs und Micro-Credentials bei der aktuellen Transformation der Wirtschaft spielen? Gibt es eine Rückbesinnung auf die Routine, die wir aus der Zeit vor Corona kennen? Oder haben sich viele Dinge inzwischen fest etabliert, z.B. Remote Work, hybride Konferenzen, etc. Darüber hinaus wirft EMOOCs 2023 einen genaueren Blick auf die Entwicklung und Formalisierung des digitalen Lernens. Microcredentials sind nur der Anfang. Weitere Schritte in diese Richtung wären komplette Online-Studiengänge oder vollständige Online-Universitäten. Ein weiteres Schwerpunktthema ist die Vernetzung von Lernangeboten und die Standardisierung von Formaten und Metadaten. Beispiele für fruchtbare Kooperationen sind der MOOChub, das European MOOC Consortium und das Common Micro-Credential Framework. Die aus der Praxis und der Forschung gewonnenen Erkenntnisse werden auf der EMOOCs 2023 in vier Tracks und zusätzlichen Workshops zu verschiedenen Aspekten des Themas vertieft. In dieser Publikation stellen wir Beiträge aus dem Research & Experience Track, dem Business Track und dem International Track vor. KW - MOOC KW - digital education KW - e-learning KW - online course design KW - online course creation KW - micro-credential KW - micro degree KW - online teaching KW - MOOC KW - Onlinekurs KW - Digitale Bildung KW - Online-Lehre KW - Kursdesign KW - Onlinekurs-Produktion KW - Micro Degree Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-576450 ER - TY - JOUR A1 - Erler, Alexander A1 - Riebe, Daniel A1 - Beitz, Toralf A1 - Löhmannsröben, Hans-Gerd A1 - Leenen, Mathias A1 - Pätzold, Stefan A1 - Ostermann, Markus A1 - Wójcik, Michał T1 - Mobile laser-induced breakdown spectroscopy for future application in precision agriculture BT - a case study JF - Sensors N2 - 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. KW - LIBS KW - precision agriculture KW - soil KW - multivariate methods KW - feature selection Y1 - 2023 U6 - https://doi.org/10.3390/s23167178 SN - 1424-8220 VL - 23 IS - 16 PB - MDPI CY - Basel ER -