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1736, A new edition, corrected and amended, xxxvi, 253, [11]
Book
European Journal of Social Work, ISSN 1369-1457, 03/2010, Volume 13, Issue 1, pp. 127 - 130
Abstract not available. Reprinted by permission of Taylor and Francis 
SOCIAL WORK
Journal Article
by Diener, Markus K and Hüttner, Felix J and Kieser, Meinhard and Knebel, Phillip and Dörr-Harim, Colette and Distler, Marius and Grützmann, Robert and Wittel, Uwe A and Schirren, Rebekka and Hau, Hans-Michael and Kleespies, Axel and Heidecke, Claus-Dieter and Tomazic, Ales and Halloran, Christopher M and Wilhelm, Torsten J and Bahra, Marcus and Beckurts, Tobias and Börner, Thomas and Glanemann, Matthias and Steger, Ulrich and Treitschke, Frank and Staib, Ludger and Thelen, Karsten and Bruckner, Thomas and Mihaljevic, André L and Werner, Jens and Ulrich, Alexis and Hackert, Thilo and Büchler, Markus W and Rossion, Inga and Kunz, Alexandra and Hund, Evelin and Limprecht, Ronald and Schlitt, Hans Jürgen and Mössner, Joachim and Seiler, Christoph M and Ihorst, Gabriele and Di Sebastiano, Pierluigi and Witzigmann, Helmut and Klein, Fritz and Berthold, Heike and Körnlein, Heike and Hopt, Ulrich and Sick, Olivia and Keck, Tobias and Partecke, Lars Ivo and Peters, Sebastian and Lerch, Markus M and Maichle, Barbara and Erni, Birgit and Bunjes-Schmieger, Sabine and Igel, Sarah and Stemmle, Svenja and Neoptolemos, John P and Raraty, Michael G T and Petric, Miha and Niedergethmann, Marco and Schwarzmeier, Claudia and Renz, Bernhard and Schreib, Brigitte and Thasler, Wolfgang E and Schoenberg, Michael H and Friess, Helmut and Reim, Daniel and Ceyhan, Güralp O and Diehl-Bein, Monika and Simon, Thomas and Gehrig, Tobias and Hoffer, Marion and Germer, Christoph Thomas and ChroPac Trial Group and ChroPac Trial Grp
The Lancet, ISSN 0140-6736, 09/2017, Volume 390, Issue 10099, pp. 1027 - 1037
Journal Article
2019, Springer Theses, ISBN 3319982486, 180
This book explores how machine learning can be used to improve the efficiency of expensive fundamental science experiments. The first part introduces the Belle... 
Particles (Nuclear physics)-Computer simulation | Artificial intelligence | Data-driven Science, Modeling and Theory Building | Measurement Science and Instrumentation | Artificial Intelligence | Physics | Elementary Particles, Quantum Field Theory
eBook
by Petrova, Ekaterina and Lapshyn, Hryhoriy and Bausch, Dirk and D'Haese, Jan and Werner, Jens and Klier, Thomas and Nüssler, Natascha C and Gaedcke, Jochen and Ghadimi, Michael and Uhl, Waldemar and Belyaev, Orlin and Kantor, Olga and Baker, Marshall and Keck, Tobias and Wellner, Ulrich F and Crones, Carsten and Klammer, Frank and Anthuber, Matthias and Hommann, Merten and Prenzel, Klaus and Pratschke, Johann and Lorenz, Eric P.M and Uhl, Waldemar and Kalff, Jörg C and Tröbs, Ute and Witzigmann, Helmut and Krämling, Hans-Jörg and Stier, Albrecht and Grützmann, Robert and Niedergethmann, Marco and Schwarzbach, Matthias and Bechstein, Wolf Otto and Kraus, Thomas and Fichtner-Feigl, Stefan and Kindler, Michael and Manger, Thomas and Padberg, Winfried and Ghadimi, Michael and Oldhafer, Karl-Jürgen and Chromik, Ansgar Michael and Albayrak, Nurettin and Glanemann, Matthias and Mönch, Christian and Reith, Hans-Bernd and Bruns, Christiane and Kroesen, Anton J and Eisold, Sven and Keck, Tobias and Fleck, Ullrich and Post, Stefan and Bartsch, Detlef and Gutt, Carsten and Werner, Jens and Nüssler, Natascha and Friess, Helmut and Senninger, Norbert and Stein, Hubert and Schumacher, Franz-Josef and Lorenz, Dietmar and Piso, Pompiliu and Klar, Ernst and Ritz, Jörg-Peter and Köninger, Jörg and Runkel, Norbert and Wagler, Elke and Jacobi, Christoph and Farkas, Stefan and Jäger, Mark and Germer, Christoph-Thomas and The StuDoQ|Pancreas study group and members of StuDoQ|Pancreas registry of the German Society for General and Visceral Surgery (DGAV) and StuDoQ|Pancreas study group and members of StuDoQ|Pancreas registry of the German Society for General and Visceral Surgery (DGAV)
Pancreatology, ISSN 1424-3903, 01/2019, Volume 19, Issue 1, pp. 17 - 25
Postoperative pancreatic fistula (POPF) is a major factor for morbidity and mortality after pancreatic resection. Risk stratification for POPF is important for... 
Pancreatic tumors | Models | Risk factors | Adenocarcinoma | Data analysis | Mortality | Pancreatitis | Clinical trials | Parenchyma | Fistulae | Fistula | Patients | Morbidity | Datasets | Body mass index | Prediction models | Surgery | Quality control | Pancreas
Journal Article
Poetica, ISSN 0303-4178, 2004, Volume 36, Issue 1-2, pp. 41 - 72
Journal Article
BMJ Open, ISSN 2044-6055, 05/2016, Volume 6, Issue 5, p. e011144
Journal Article
1656, The fourth edition, corrected and amended. With annotations [by Thomas Keck] never before published, upon all the obscure passages therein., [xvi], 297 p. front.
Book
Journal Article
1685, The eighth edition, corrected and amended., [14], 102, [6], 103 (i.e. 73)
Book