TY  - JOUR
A1  - Blomeyer, Dorothea
A1  - Buchmann, Arlette F.
A1  - Lascorz, Jesus
A1  - Zimmermann, Ulrich S.
A1  - Esser, Günter
A1  - Desrivieres, Sylvane
A1  - Schmidt, Martin H.
A1  - Banaschewski, Tobias
A1  - Schumann, Gunter
A1  - Laucht, Manfred
T1  - Association of PER2 genotype and stressful life events with alcohol drinking in young adults
JF  - PLoS one
N2  - Background: Clock genes govern circadian rhythms and shape the effect of alcohol use on the physiological system. Exposure to severe negative life events is related to both heavy drinking and disturbed circadian rhythmicity. The aim of this study was 1) to extend previous findings suggesting an association of a haplotype tagging single nucleotide polymorphism of PER2 gene with drinking patterns, and 2) to examine a possible role for an interaction of this gene with life stress in hazardous drinking.
 Methods: Data were collected as part of an epidemiological cohort study on the outcome of early risk factors followed since birth. At age 19 years, 268 young adults (126 males, 142 females) were genotyped for PER2 rs56013859 and were administered a 45-day alcohol timeline follow-back interview and the Alcohol Use Disorders Identification Test (AUDIT). Life stress was assessed as the number of severe negative life events during the past four years reported in a questionnaire and validated by interview.
 Results: Individuals with the minor G allele of rs56013859 were found to be less engaged in alcohol use, drinking at only 72% of the days compared to homozygotes for the major A allele. Moreover, among regular drinkers, a gene x environment interaction emerged (p = .020). While no effects of genotype appeared under conditions of low stress, carriers of the G allele exhibited less hazardous drinking than those homozygous for the A allele when exposed to high stress.
 Conclusions: These findings may suggest a role of the circadian rhythm gene PER2 in both the drinking patterns of young adults and in moderating the impact of severe life stress on hazardous drinking in experienced alcohol users. However, in light of the likely burden of multiple tests, the nature of the measures used and the nominal evidence of interaction, replication is needed before drawing firm conclusions.
Y1  - 2013
U6  - https://doi.org/10.1371/journal.pone.0059136
SN  - 1932-6203
VL  - 8
IS  - 3
PB  - PLoS
CY  - San Fransisco
ER  - 
TY  - JOUR
A1  - Lilliestam, Johan
A1  - Melliger, Marc André
A1  - Ollier, Lana
A1  - Schmidt, Tobias S.
A1  - Steffen, Bjarne
T1  - Understanding and accounting for the effect of exchange rate fluctuations on global learning rates
JF  - Nature energy
N2  - Learning rates are a central concept in energy system models and integrated assessment models, as they allow researchers to project the future costs of new technologies and to optimize energy system costs. Here we argue that exchange rate fluctuations are an important, but thus far overlooked, determinant of the learning-rate variance observed in the literature. We explore how empirically observed global learning rates depend on where technologies are installed and which currency is used to calculate the learning rate. Using global data of large-scale photovoltaic (>= 5 MW) plants, we show that the currency choice can result in learning-rate differences of up to 16 percentage points. We then introduce an adjustment factor to correct for the effect of exchange rate and market focus fluctuations and discuss the implications of our findings for innovation scholars, energy modellers and decision makers. <br /> Learning rates are a measure of reduction in costs of energy from technologies such as solar photovoltaics. These are often estimated internationally with all monetary figures converted to a single currency, often US dollars. Lilliestam et al. show that such conversions can significantly affect the learning rate estimates.
Y1  - 2020
U6  - https://doi.org/10.1038/s41560-019-0531-y
SN  - 2058-7546
VL  - 5
IS  - 1
SP  - 71
EP  - 78
PB  - Nature Publishing Group
CY  - Berlin
ER  - 
TY  - BOOK
A1  - Rana, Kaushik
A1  - Mohapatra, Durga Prasad
A1  - Sidorova, Julia
A1  - Lundberg, Lars
A1  - Sköld, Lars
A1  - Lopes Grim, Luís Fernando
A1  - Sampaio Gradvohl, André Leon
A1  - Cremerius, Jonas
A1  - Siegert, Simon
A1  - Weltzien, Anton von
A1  - Baldi, Annika
A1  - Klessascheck, Finn
A1  - Kalancha, Svitlana
A1  - Lichtenstein, Tom
A1  - Shaabani, Nuhad
A1  - Meinel, Christoph
A1  - Friedrich, Tobias
A1  - Lenzner, Pascal
A1  - Schumann, David
A1  - Wiese, Ingmar
A1  - Sarna, Nicole
A1  - Wiese, Lena
A1  - Tashkandi, Araek Sami
A1  - van der Walt, Estée
A1  - Eloff, Jan H. P.
A1  - Schmidt, Christopher
A1  - Hügle, Johannes
A1  - Horschig, Siegfried
A1  - Uflacker, Matthias
A1  - Najafi, Pejman
A1  - Sapegin, Andrey
A1  - Cheng, Feng
A1  - Stojanovic, Dragan
A1  - Stojnev Ilić, Aleksandra
A1  - Djordjevic, Igor
A1  - Stojanovic, Natalija
A1  - Predic, Bratislav
A1  - González-Jiménez, Mario
A1  - de Lara, Juan
A1  - Mischkewitz, Sven
A1  - Kainz, Bernhard
A1  - van Hoorn, André
A1  - Ferme, Vincenzo
A1  - Schulz, Henning
A1  - Knigge, Marlene
A1  - Hecht, Sonja
A1  - Prifti, Loina
A1  - Krcmar, Helmut
A1  - Fabian, Benjamin
A1  - Ermakova, Tatiana
A1  - Kelkel, Stefan
A1  - Baumann, Annika
A1  - Morgenstern, Laura
A1  - Plauth, Max
A1  - Eberhard, Felix
A1  - Wolff, Felix
A1  - Polze, Andreas
A1  - Cech, Tim
A1  - Danz, Noel
A1  - Noack, Nele Sina
A1  - Pirl, Lukas
A1  - Beilharz, Jossekin Jakob
A1  - De Oliveira, Roberto C. L.
A1  - Soares, Fábio Mendes
A1  - Juiz, Carlos
A1  - Bermejo, Belen
A1  - Mühle, Alexander
A1  - Grüner, Andreas
A1  - Saxena, Vageesh
A1  - Gayvoronskaya, Tatiana
A1  - Weyand, Christopher
A1  - Krause, Mirko
A1  - Frank, Markus
A1  - Bischoff, Sebastian
A1  - Behrens, Freya
A1  - Rückin, Julius
A1  - Ziegler, Adrian
A1  - Vogel, Thomas
A1  - Tran, Chinh
A1  - Moser, Irene
A1  - Grunske, Lars
A1  - Szárnyas, Gábor
A1  - Marton, József
A1  - Maginecz, János
A1  - Varró, Dániel
A1  - Antal, János Benjamin
ED  - Meinel, Christoph
ED  - Polze, Andreas
ED  - Beins, Karsten
ED  - Strotmann, Rolf
ED  - Seibold, Ulrich
ED  - Rödszus, Kurt
ED  - Müller, Jürgen
T1  - HPI Future SOC Lab – Proceedings 2018
N2  - The “HPI Future SOC Lab” is a cooperation of the Hasso Plattner Institute (HPI) and industry partners. Its mission is to enable and promote exchange and interaction between the research community and the industry partners.
  The HPI Future SOC Lab provides researchers with free of charge access to a complete infrastructure of state of the art hard and software. This infrastructure includes components, which might be too expensive for an ordinary research environment, such as servers with up to 64 cores and 2 TB main memory. The offerings address researchers particularly from but not limited to the areas of computer science and business information systems. Main areas of research include cloud computing, parallelization, and In-Memory technologies.
  This technical report presents results of research projects executed in 2018. Selected projects have presented their results on April 17th and November 14th 2017 at the Future SOC Lab Day events.
N2  - Das Future SOC Lab am HPI ist eine Kooperation des Hasso-Plattner-Instituts mit verschiedenen Industriepartnern. Seine Aufgabe ist die Ermöglichung und Förderung des Austausches zwischen Forschungsgemeinschaft und Industrie.
  Am Lab wird interessierten Wissenschaftler:innen eine Infrastruktur von neuester Hard- und Software kostenfrei für Forschungszwecke zur Verfügung gestellt. Dazu zählen Systeme, die im normalen Hochschulbereich in der Regel nicht zu finanzieren wären, bspw. Server mit bis zu 64 Cores und 2 TB Hauptspeicher. Diese Angebote richten sich insbesondere an Wissenschaftler:innen in den Gebieten Informatik und Wirtschaftsinformatik. Einige der Schwerpunkte sind Cloud Computing, Parallelisierung und In-Memory Technologien. 
  In diesem Technischen Bericht werden die Ergebnisse der Forschungsprojekte des Jahres 2018 vorgestellt.  Ausgewählte Projekte stellten ihre Ergebnisse am 17. April und 14. November 2018 im Rahmen des Future SOC Lab Tags vor.
T3  - Technische Berichte des Hasso-Plattner-Instituts für Digital Engineering an der Universität Potsdam - 151 
KW  - Future SOC Lab
KW  - research projects
KW  - multicore architectures
KW  - in-memory technology
KW  - cloud computing
KW  - machine learning
KW  - artifical intelligence
KW  - Future SOC Lab
KW  - Forschungsprojekte
KW  - Multicore Architekturen
KW  - In-Memory Technologie
KW  - Cloud Computing
KW  - maschinelles Lernen
KW  - künstliche Intelligenz
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-563712
SN  - 978-3-86956-547-7
SN  - 1613-5652
SN  - 2191-1665
IS  - 151
PB  - Universitätsverlag Potsdam
CY  - Potsdam
ER  - 
TY  - BOOK
A1  - Kuban, Robert
A1  - Rotta, Randolf
A1  - Nolte, Jörg
A1  - Chromik, Jonas
A1  - Beilharz, Jossekin Jakob
A1  - Pirl, Lukas
A1  - Friedrich, Tobias
A1  - Lenzner, Pascal
A1  - Weyand, Christopher
A1  - Juiz, Carlos
A1  - Bermejo, Belen
A1  - Sauer, Joao
A1  - Coelh, Leandro dos Santos
A1  - Najafi, Pejman
A1  - Pünter, Wenzel
A1  - Cheng, Feng
A1  - Meinel, Christoph
A1  - Sidorova, Julia
A1  - Lundberg, Lars
A1  - Vogel, Thomas
A1  - Tran, Chinh
A1  - Moser, Irene
A1  - Grunske, Lars
A1  - Elsaid, Mohamed Esameldin Mohamed
A1  - Abbas, Hazem M.
A1  - Rula, Anisa
A1  - Sejdiu, Gezim
A1  - Maurino, Andrea
A1  - Schmidt, Christopher
A1  - Hügle, Johannes
A1  - Uflacker, Matthias
A1  - Nozza, Debora
A1  - Messina, Enza
A1  - Hoorn, André van
A1  - Frank, Markus
A1  - Schulz, Henning
A1  - Alhosseini Almodarresi Yasin, Seyed Ali
A1  - Nowicki, Marek
A1  - Muite, Benson K.
A1  - Boysan, Mehmet Can
A1  - Bianchi, Federico
A1  - Cremaschi, Marco
A1  - Moussa, Rim
A1  - Abdel-Karim, Benjamin M.
A1  - Pfeuffer, Nicolas
A1  - Hinz, Oliver
A1  - Plauth, Max
A1  - Polze, Andreas
A1  - Huo, Da
A1  - Melo, Gerard de
A1  - Mendes Soares, Fábio
A1  - Oliveira, Roberto Célio Limão de
A1  - Benson, Lawrence
A1  - Paul, Fabian
A1  - Werling, Christian
A1  - Windheuser, Fabian
A1  - Stojanovic, Dragan
A1  - Djordjevic, Igor
A1  - Stojanovic, Natalija
A1  - Stojnev Ilic, Aleksandra
A1  - Weidmann, Vera
A1  - Lowitzki, Leon
A1  - Wagner, Markus
A1  - Ifa, Abdessatar Ben
A1  - Arlos, Patrik
A1  - Megia, Ana
A1  - Vendrell, Joan
A1  - Pfitzner, Bjarne
A1  - Redondo, Alberto
A1  - Ríos Insua, David
A1  - Albert, Justin Amadeus
A1  - Zhou, Lin
A1  - Arnrich, Bert
A1  - Szabó, Ildikó
A1  - Fodor, Szabina
A1  - Ternai, Katalin
A1  - Bhowmik, Rajarshi
A1  - Campero Durand, Gabriel
A1  - Shevchenko, Pavlo
A1  - Malysheva, Milena
A1  - Prymak, Ivan
A1  - Saake, Gunter
ED  - Meinel, Christoph
ED  - Polze, Andreas
ED  - Beins, Karsten
ED  - Strotmann, Rolf
ED  - Seibold, Ulrich
ED  - Rödszus, Kurt
ED  - Müller, Jürgen
T1  - HPI Future SOC Lab – Proceedings 2019
N2  - The “HPI Future SOC Lab” is a cooperation of the Hasso Plattner Institute (HPI) and industry partners. Its mission is to enable and promote exchange and interaction between the research community and the industry partners.
  The HPI Future SOC Lab provides researchers with free of charge access to a complete infrastructure of state of the art hard and software. This infrastructure includes components, which might be too expensive for an ordinary research environment, such as servers with up to 64 cores and 2 TB main memory. The offerings address researchers particularly from but not limited to the areas of computer science and business information systems. Main areas of research include cloud computing, parallelization, and In-Memory technologies.
  This technical report presents results of research projects executed in 2019. Selected projects have presented their results on April 9th and November 12th 2019 at the Future SOC Lab Day events.
N2  - Das Future SOC Lab am HPI ist eine Kooperation des Hasso-Plattner-Instituts mit verschiedenen Industriepartnern. Seine Aufgabe ist die Ermöglichung und Förderung des Austausches zwischen Forschungsgemeinschaft und Industrie.
  Am Lab wird interessierten Wissenschaftlern eine Infrastruktur von neuester Hard- und Software kostenfrei für Forschungszwecke zur Verfügung gestellt. Dazu zählen teilweise noch nicht am Markt verfügbare Technologien, die im normalen Hochschulbereich in der Regel nicht zu finanzieren wären, bspw. Server mit bis zu 64 Cores und 2 TB Hauptspeicher. Diese Angebote richten sich insbesondere an Wissenschaftler in den Gebieten Informatik und Wirtschaftsinformatik. Einige der Schwerpunkte sind Cloud Computing, Parallelisierung und In-Memory Technologien. 
  In diesem Technischen Bericht werden die Ergebnisse der Forschungsprojekte des Jahres 2019 vorgestellt.  Ausgewählte Projekte stellten ihre Ergebnisse am 09. April und 12. November 2019 im Rahmen des Future SOC Lab Tags vor.
T3  - Technische Berichte des Hasso-Plattner-Instituts für Digital Engineering an der Universität Potsdam - 158 
KW  - Future SOC Lab
KW  - research projects
KW  - multicore architectures
KW  - in-memory technology
KW  - cloud computing
KW  - machine learning
KW  - artifical intelligence
KW  - Future SOC Lab
KW  - Forschungsprojekte
KW  - Multicore Architekturen
KW  - In-Memory Technologie
KW  - Cloud Computing
KW  - maschinelles Lernen
KW  - künstliche Intelligenz
Y1  - 2023
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-597915
SN  - 978-3-86956-564-4
SN  - 1613-5652
SN  - 2191-1665
IS  - 158
PB  - Universitätsverlag Potsdam
CY  - Potsdam
ER  -