TY  - RPRT
A1  - Brodeur, Abel
A1  - Mikola, Derek
A1  - Cook, Nikolai
A1  - Brailey, Thomas
A1  - Briggs, Ryan
A1  - Gendre, Alexandra de
A1  - Dupraz, Yannick
A1  - Fiala, Lenka
A1  - Gabani, Jacopo
A1  - Gauriot, Romain
A1  - Haddad, Joanne
A1  - Lima, Goncalo
A1  - Ankel-Peters, Jörg
A1  - Dreber, Anna
A1  - Campbell, Douglas
A1  - Kattan, Lamis
A1  - Fages, Diego Marino
A1  - Mierisch, Fabian
A1  - Sun, Pu
A1  - Wright, Taylor
A1  - Connolly, Marie
A1  - Hoces de la Guardia, Fernando
A1  - Johannesson, Magnus
A1  - Miguel, Edward
A1  - Vilhuber, Lars
A1  - Abarca, Alejandro
A1  - Acharya, Mahesh
A1  - Adjisse, Sossou Simplice
A1  - Akhtar, Ahwaz
A1  - Lizardi, Eduardo Alberto Ramirez
A1  - Albrecht, Sabina
A1  - Andersen, Synve Nygaard
A1  - Andlib, Zubaria
A1  - Arrora, Falak
A1  - Ash, Thomas
A1  - Bacher, Etienne
A1  - Bachler, Sebastian
A1  - Bacon, Félix
A1  - Bagues, Manuel
A1  - Balogh, Timea
A1  - Batmanov, Alisher
A1  - Barschkett, Mara
A1  - Basdil, B. Kaan
A1  - Dower, Jaromneda
A1  - Castek, Ondrej
A1  - Caviglia-Harris, Jill
A1  - Strand, Gabriella Chauca
A1  - Chen, Shi
A1  - Chzhen, Asya
A1  - Chung, Jong
A1  - Collins, Jason
A1  - Coppock, Alexander
A1  - Cordeau, Hugo
A1  - Couillard, Ben
A1  - Crechet, Jonathan
A1  - Crippa, Lorenzo
A1  - Cui, Jeanne
A1  - Czymara, Christian
A1  - Daarstad, Haley
A1  - Dao, Danh Chi
A1  - Dao, Dong
A1  - Schmandt, Marco David
A1  - Linde, Astrid de
A1  - Melo, Lucas De
A1  - Deer, Lachlan
A1  - Vera, Micole De
A1  - Dimitrova, Velichka
A1  - Dollbaum, Jan Fabian
A1  - Dollbaum, Jan Matti
A1  - Donnelly, Michael
A1  - Huynh, Luu Duc Toan
A1  - Dumbalska, Tsvetomira
A1  - Duncan, Jamie
A1  - Duong, Kiet Tuan
A1  - Duprey, Thibaut
A1  - Dworschak, Christoph
A1  - Ellingsrud, Sigmund
A1  - Elminejad, Ali
A1  - Eissa, Yasmine
A1  - Erhart, Andrea
A1  - Etingin-Frati, Giulian
A1  - Fatemi-Pour, Elaheh
A1  - Federice, Alexa
A1  - Feld, Jan
A1  - Fenig, Guidon
A1  - Firouzjaeiangalougah, Mojtaba
A1  - Fleisje, Erlend
A1  - Fortier-Chouinard, Alexandre
A1  - Engel, Julia Francesca
A1  - Fries, Tilman
A1  - Fortier, Reid
A1  - Fréchet, Nadjim
A1  - Galipeau, Thomas
A1  - Gallegos, Sebastián
A1  - Gangji, Areez
A1  - Gao, Xiaoying
A1  - Garnache, Cloé
A1  - Gáspár, Attila
A1  - Gavrilova, Evelina
A1  - Ghosh, Arijit
A1  - Gibney, Garreth
A1  - Gibson, Grant
A1  - Godager, Geir
A1  - Goff, Leonard
A1  - Gong, Da
A1  - González, Javier
A1  - Gretton, Jeremy
A1  - Griffa, Cristina
A1  - Grigoryeva, Idaliya
A1  - Grtting, Maja
A1  - Guntermann, Eric
A1  - Guo, Jiaqi
A1  - Gugushvili, Alexi
A1  - Habibnia, Hooman
A1  - Häffner, Sonja
A1  - Hall, Jonathan D.
A1  - Hammar, Olle
A1  - Kordt, Amund Hanson
A1  - Hashimoto, Barry
A1  - Hartley, Jonathan S.
A1  - Hausladen, Carina I.
A1  - Havránek, Tomáš
A1  - Hazen, Jacob
A1  - He, Harry
A1  - Hepplewhite, Matthew
A1  - Herrera-Rodriguez, Mario
A1  - Heuer, Felix
A1  - Heyes, Anthony
A1  - Ho, Anson T. Y.
A1  - Holmes, Jonathan
A1  - Holzknecht, Armando
A1  - Hsu, Yu-Hsiang Dexter
A1  - Hu, Shiang-Hung
A1  - Huang, Yu-Shiuan
A1  - Huebener, Mathias
A1  - Huber, Christoph
A1  - Huynh, Kim P.
A1  - Irsova, Zuzana
A1  - Isler, Ozan
A1  - Jakobsson, Niklas
A1  - Frith, Michael James
A1  - Jananji, Raphaël
A1  - Jayalath, Tharaka A.
A1  - Jetter, Michael
A1  - John, Jenny
A1  - Forshaw, Rachel Joy
A1  - Juan, Felipe
A1  - Kadriu, Valon
A1  - Karim, Sunny
A1  - Kelly, Edmund
A1  - Dang, Duy Khanh Hoang
A1  - Khushboo, Tazia
A1  - Kim, Jin
A1  - Kjellsson, Gustav
A1  - Kjelsrud, Anders
A1  - Kotsadam, Andreas
A1  - Korpershoek, Jori
A1  - Krashinsky, Lewis
A1  - Kundu, Suranjana
A1  - Kustov, Alexander
A1  - Lalayev, Nurlan
A1  - Langlois, Audrée
A1  - Laufer, Jill
A1  - Lee-Whiting, Blake
A1  - Leibing, Andreas
A1  - Lenz, Gabriel
A1  - Levin, Joel
A1  - Li, Peng
A1  - Li, Tongzhe
A1  - Lin, Yuchen
A1  - Listo, Ariel
A1  - Liu, Dan
A1  - Lu, Xuewen
A1  - Lukmanova, Elvina
A1  - Luscombe, Alex
A1  - Lusher, Lester R.
A1  - Lyu, Ke
A1  - Ma, Hai
A1  - Mäder, Nicolas
A1  - Makate, Clifton
A1  - Malmberg, Alice
A1  - Maitra, Adit
A1  - Mandas, Marco
A1  - Marcus, Jan
A1  - Margaryan, Shushanik
A1  - Márk, Lili
A1  - Martignano, Andres
A1  - Marsh, Abigail
A1  - Masetto, Isabella
A1  - McCanny, Anthony
A1  - McManus, Emma
A1  - McWay, Ryan
A1  - Metson, Lennard
A1  - Kinge, Jonas Minet
A1  - Mishra, Sumit
A1  - Mohnen, Myra
A1  - Möller, Jakob
A1  - Montambeault, Rosalie
A1  - Montpetit, Sébastien
A1  - Morin, Louis-Philippe
A1  - Morris, Todd
A1  - Moser, Scott
A1  - Motoki, Fabio
A1  - Muehlenbachs, Lucija
A1  - Musulan, Andreea
A1  - Musumeci, Marco
A1  - Nabin, Munirul
A1  - Nchare, Karim
A1  - Neubauer, Florian
A1  - Nguyen, Quan M. P.
A1  - Nguyen, Tuan
A1  - Nguyen-Tien, Viet
A1  - Niazi, Ali
A1  - Nikolaishvili, Giorgi
A1  - Nordstrom, Ardyn
A1  - Nü, Patrick
A1  - Odermatt, Angela
A1  - Olson, Matt
A1  - ien, Henning
A1  - Ölkers, Tim
A1  - Vert, Miquel Oliver i.
A1  - Oral, Emre
A1  - Oswald, Christian
A1  - Ousman, Ali
A1  - Özak, Ömer
A1  - Pandey, Shubham
A1  - Pavlov, Alexandre
A1  - Pelli, Martino
A1  - Penheiro, Romeo
A1  - Park, RyuGyung
A1  - Martel, Eva Pérez
A1  - Petrovičová, Tereza
A1  - Phan, Linh
A1  - Prettyman, Alexa
A1  - Procházka, Jakub
A1  - Putri, Aqila
A1  - Quandt, Julian
A1  - Qiu, Kangyu
A1  - Nguyen, Loan Quynh Thi
A1  - Rahman, Andaleeb
A1  - Rea, Carson H.
A1  - Reiremo, Adam
A1  - Renée, Laëtitia
A1  - Richardson, Joseph
A1  - Rivers, Nicholas
A1  - Rodrigues, Bruno
A1  - Roelofs, William
A1  - Roemer, Tobias
A1  - Rogeberg, Ole
A1  - Rose, Julian
A1  - Roskos-Ewoldsen, Andrew
A1  - Rosmer, Paul
A1  - Sabada, Barbara
A1  - Saberian, Soodeh
A1  - Salamanca, Nicolas
A1  - Sator, Georg
A1  - Sawyer, Antoine
A1  - Scates, Daniel
A1  - Schlüter, Elmar
A1  - Sells, Cameron
A1  - Sen, Sharmi
A1  - Sethi, Ritika
A1  - Shcherbiak, Anna
A1  - Sogaolu, Moyosore
A1  - Soosalu, Matt
A1  - Srensen, Erik
A1  - Sovani, Manali
A1  - Spencer, Noah
A1  - Staubli, Stefan
A1  - Stans, Renske
A1  - Stewart, Anya
A1  - Stips, Felix
A1  - Stockley, Kieran
A1  - Strobel, Stephenson
A1  - Struby, Ethan
A1  - Tang, John
A1  - Tanrisever, Idil
A1  - Yang, Thomas Tao
A1  - Tastan, Ipek
A1  - Tatić, Dejan
A1  - Tatlow, Benjamin
A1  - Seuyong, Féraud Tchuisseu
A1  - Thériault, Rémi
A1  - Thivierge, Vincent
A1  - Tian, Wenjie
A1  - Toma, Filip-Mihai
A1  - Totarelli, Maddalena
A1  - Tran, Van-Anh
A1  - Truong, Hung
A1  - Tsoy, Nikita
A1  - Tuzcuoglu, Kerem
A1  - Ubfal, Diego
A1  - Villalobos, Laura
A1  - Walterskirchen, Julian
A1  - Wang, Joseph Taoyi
A1  - Wattal, Vasudha
A1  - Webb, Matthew D.
A1  - Weber, Bryan
A1  - Weisser, Reinhard
A1  - Weng, Wei-Chien
A1  - Westheide, Christian
A1  - White, Kimberly
A1  - Winter, Jacob
A1  - Wochner, Timo
A1  - Woerman, Matt
A1  - Wong, Jared
A1  - Woodard, Ritchie
A1  - Wroński, Marcin
A1  - Yazbeck, Myra
A1  - Yang, Gustav Chung
A1  - Yap, Luther
A1  - Yassin, Kareman
A1  - Ye, Hao
A1  - Yoon, Jin Young
A1  - Yurris, Chris
A1  - Zahra, Tahreen
A1  - Zaneva, Mirela
A1  - Zayat, Aline
A1  - Zhang, Jonathan
A1  - Zhao, Ziwei
A1  - Yaolang, Zhong
T1  - Mass reproducibility and replicability
BT  - a new hope
T2  - I4R discussion paper series
N2  - This study pushes our understanding of research reliability by reproducing and replicating claims from 110 papers in leading economic and political science journals. The analysis involves computational reproducibility checks and robustness assessments. It reveals several patterns. First, we uncover a high rate of fully computationally reproducible results (over 85%). Second, excluding minor issues like missing packages or broken pathways, we uncover coding errors for about 25% of studies, with some studies containing multiple errors. Third, we test the robustness of the results to 5,511 re-analyses. We find a robustness reproducibility of about 70%. Robustness reproducibility rates are relatively higher for re-analyses that introduce new data and lower for re-analyses that change the sample or the definition of the dependent variable. Fourth, 52% of re-analysis effect size estimates are smaller than the original published estimates and the average statistical significance of a re-analysis is 77% of the original. Lastly, we rely on six teams of researchers working independently to answer eight additional research questions on the determinants of robustness reproducibility. Most teams find a negative relationship between replicators' experience and reproducibility, while finding no relationship between reproducibility and the provision of intermediate or even raw data combined with the necessary cleaning codes.
KW  - conomics
KW  - open science
KW  - political science
KW  - replication
KW  - reproduction
KW  - research transparency
Y1  - 2024
SN  - 2752-1931
IS  - 107
PB  - Institute for Replication
CY  - Essen
ER  - 
TY  - JOUR
A1  - Schichor, Christian
A1  - Albrecht, Valerie
A1  - Korte, Benjamin
A1  - Buchner, Alexander
A1  - Riesenberg, Rainer
A1  - Mysliwietz, Josef
A1  - Paron, Igor
A1  - Motaln, Helena
A1  - Turnsek, Tamara Lah
A1  - Juerchott, Kathrin
A1  - Selbig, Joachim
A1  - Tonn, Jörg-Christian
T1  - Mesenchymal stem cells and glioma cells form a structural as well as a functional syncytium in vitro
JF  - Experimental neurology
N2  - The interaction of human mesenchymal stem cells (hMSCs) and tumor cells has been investigated in various contexts. HMSCs are considered as cellular treatment vectors based on their capacity to migrate towards a malignant lesion. However, concerns about unpredictable behavior of transplanted hMSCs are accumulating. In malignant gliomas, the recruitment mechanism is driven by glioma-secreted factors which lead to accumulation of both, tissue specific stem cells as well as bone marrow derived hMSCs within the tumor. The aim of the present work was to study specific cellular interactions between hMSCs and glioma cells in vitro. We show, that glioma cells as well as hMSCs differentially express connexins. and that they interact via gap-junctional coupling. Besides this so-called functional syncytium formation, we also provide evidence of cell fusion events (structural syncytium). These complex cellular interactions led to an enhanced migration and altered proliferation of both, tumor and mesenchymal stem cell types in vitro. The presented work shows that glioma cells display signs of functional as well as structural syncytium formation with hMSCs in vitro. The described cellular phenomena provide new insight into the complexity of interaction patterns between tumor cells and host cells. Based on these findings, further studies are warranted to define the impact of a functional or structural syncytium formation on malignant tumors and cell based therapies in vivo.
KW  - Mesenchymal stem cell
KW  - Glioma
KW  - Syncytium
KW  - Gap junction
KW  - Fusion
Y1  - 2012
U6  - https://doi.org/10.1016/j.expneurol.2011.12.033
SN  - 0014-4886
VL  - 234
IS  - 1
SP  - 208
EP  - 219
PB  - Elsevier
CY  - San Diego
ER  - 
TY  - BOOK
A1  - Albrecht, Alexander
A1  - Naumann, Felix
T1  - Understanding cryptic schemata in large extract-transform-load systems
N2  - Extract-Transform-Load (ETL) tools are used for the creation, maintenance, and evolution of data warehouses, data marts, and operational data stores. ETL workflows populate those systems with data from various data sources by specifying and executing a DAG of transformations. Over time, hundreds of individual workflows evolve as new sources and new requirements are integrated into the system. The maintenance and evolution of large-scale ETL systems requires much time and manual effort. A key problem is to understand the meaning of unfamiliar attribute labels in source and target databases and ETL transformations. Hard-to-understand attribute labels lead to frustration and time spent to develop and understand ETL workflows. We present a schema decryption technique to support ETL developers in understanding cryptic schemata of sources, targets, and ETL transformations. For a given ETL system, our recommender-like approach leverages the large number of mapped attribute labels in existing ETL workflows to produce good and meaningful decryptions. In this way we are able to decrypt attribute labels consisting of a number of unfamiliar few-letter abbreviations, such as UNP_PEN_INT, which we can decrypt to UNPAID_PENALTY_INTEREST. We evaluate our schema decryption approach on three real-world repositories of ETL workflows and show that our approach is able to suggest high-quality decryptions for cryptic attribute labels in a given schema.
N2  - Extract-Transform-Load (ETL) Tools werden häufig beim Erstellen, der Wartung und der Weiterentwicklung von Data Warehouses, Data Marts und operationalen Datenbanken verwendet. ETL Workflows befüllen diese Systeme mit Daten aus vielen unterschiedlichen Quellsystemen. Ein ETL Workflow besteht aus mehreren Transformationsschritten, die einen DAG-strukturierter Graphen bilden. Mit der Zeit entstehen hunderte individueller ETL Workflows, da neue Datenquellen integriert oder neue Anforderungen umgesetzt werden müssen. Die Wartung und Weiterentwicklung von großen ETL Systemen benötigt viel Zeit und manuelle Arbeit. Ein zentrales Problem ist dabei das Verständnis unbekannter Attributnamen in Quell- und Zieldatenbanken und ETL Transformationen. Schwer verständliche Attributnamen führen zu Frustration und hohen Zeitaufwänden bei der Entwicklung und dem Verständnis von ETL Workflows. Wir präsentieren eine Schema Decryption Technik, die ETL Entwicklern das Verständnis kryptischer Schemata in Quell- und Zieldatenbanken und ETL Transformationen erleichtert. Unser Ansatz berücksichtigt für ein gegebenes ETL System die Vielzahl verknüpfter Attributnamen in den existierenden ETL Workflows. So werden gute und aussagekräftige "Decryptions" gefunden und wir sind in der Lage Attributnamen, die aus unbekannten Abkürzungen bestehen, zu "decrypten". So wird z.B. für den Attributenamen UNP_PEN_INT als Decryption UNPAIN_PENALTY_INTEREST vorgeschlagen. Unser Schema Decryption Ansatz wurde für drei ETL-Repositories evaluiert und es zeigte sich, dass unser Ansatz qualitativ hochwertige Decryptions für kryptische Attributnamen vorschlägt.
T3  - Technische Berichte des Hasso-Plattner-Instituts für Digital Engineering an der Universität Potsdam - 60 
KW  - Extract-Transform-Load (ETL)
KW  - Data Warehouse
KW  - Datenintegration
KW  - Extract-Transform-Load (ETL)
KW  - Data Warehouse
KW  - Data Integration
Y1  - 2012
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-61257
SN  - 978-3-86956-201-8
PB  - Universitätsverlag Potsdam
CY  - Potsdam
ER  - 
TY  - THES
A1  - Albrecht, Alexander
T1  - Understanding and managing extract-transform-load systems
Y1  - 2013
ER  - 
TY  - JOUR
A1  - Borchert, Florian
A1  - Mock, Andreas
A1  - Tomczak, Aurelie
A1  - Hügel, Jonas
A1  - Alkarkoukly, Samer
A1  - Knurr, Alexander
A1  - Volckmar, Anna-Lena
A1  - Stenzinger, Albrecht
A1  - Schirmacher, Peter
A1  - Debus, Jürgen
A1  - Jäger, Dirk
A1  - Longerich, Thomas
A1  - Fröhling, Stefan
A1  - Eils, Roland
A1  - Bougatf, Nina
A1  - Sax, Ulrich
A1  - Schapranow, Matthieu-Patrick
T1  - Correction to: Knowledge bases and software support for variant interpretation in precision oncology
JF  - Briefings in bioinformatics
Y1  - 2021
U6  - https://doi.org/10.1093/bib/bbab246
SN  - 1467-5463
SN  - 1477-4054
VL  - 22
IS  - 6
PB  - Oxford Univ. Press
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Brinkmann, Kai Oliver
A1  - Becker, Tim
A1  - Zimmermann, Florian
A1  - Kreusel, Cedric
A1  - Gahlmann, Tobias
A1  - Theisen, Manuel
A1  - Haeger, Tobias
A1  - Olthof, Selina
A1  - Tückmantel, Christian
A1  - Günster, M.
A1  - Maschwitz, Timo
A1  - Göbelsmann, Fabian
A1  - Koch, Christine
A1  - Hertel, Dirk
A1  - Caprioglio, Pietro
A1  - Peña-Camargo, Francisco
A1  - Perdigón-Toro, Lorena
A1  - Al-Ashouri, Amran
A1  - Merten, Lena
A1  - Hinderhofer, Alexander
A1  - Gomell, Leonie
A1  - Zhang, Siyuan
A1  - Schreiber, Frank
A1  - Albrecht, Steve
A1  - Meerholz, Klaus
A1  - Neher, Dieter
A1  - Stolterfoht, Martin
A1  - Riedl, Thomas
T1  - Perovskite-organic tandem solar cells with indium oxide interconnect
JF  - Nature
N2  - Multijunction solar cells can overcome the fundamental efficiency limits of single-junction devices. The bandgap tunability of metal halide perovskite solar cells renders them attractive for multijunction architectures(1). Combinations with silicon and copper indium gallium selenide (CIGS), as well as all-perovskite tandem cells, have been reported(2-5). Meanwhile, narrow-gap non-fullerene acceptors have unlocked skyrocketing efficiencies for organic solar cells(6,7). Organic and perovskite semiconductors are an attractive combination, sharing similar processing technologies. Currently, perovskite-organic tandems show subpar efficiencies and are limited by the low open-circuit voltage (V-oc) of wide-gap perovskite cells(8) and losses introduced by the interconnect between the subcells(9,10). Here we demonstrate perovskite-organic tandem cells with an efficiency of 24.0 per cent (certified 23.1 per cent) and a high V-oc of 2.15 volts. Optimized charge extraction layers afford perovskite subcells with an outstanding combination of high V-oc and fill factor. The organic subcells provide a high external quantum efficiency in the near-infrared and, in contrast to paradigmatic concerns about limited photostability of non-fullerene cells(11), show an outstanding operational stability if excitons are predominantly generated on the non-fullerene acceptor, which is the case in our tandems. The subcells are connected by an ultrathin (approximately 1.5 nanometres) metal-like indium oxide layer with unprecedented low optical/electrical losses. This work sets a milestone for perovskite-organic tandems, which outperform the best p-i-n perovskite single junctions(12) and are on a par with perovskite-CIGS and all-perovskite multijunctions(13).
Y1  - 2022
U6  - https://doi.org/10.1038/s41586-022-04455-0
SN  - 0028-0836
SN  - 1476-4687
VL  - 604
IS  - 7905
SP  - 280
EP  - 286
PB  - Nature Research
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Borchert, Florian
A1  - Mock, Andreas
A1  - Tomczak, Aurelie
A1  - Hügel, Jonas
A1  - Alkarkoukly, Samer
A1  - Knurr, Alexander
A1  - Volckmar, Anna-Lena
A1  - Stenzinger, Albrecht
A1  - Schirmacher, Peter
A1  - Debus, Jürgen
A1  - Jäger, Dirk
A1  - Longerich, Thomas
A1  - Fröhling, Stefan
A1  - Eils, Roland
A1  - Bougatf, Nina
A1  - Sax, Ulrich
A1  - Schapranow, Matthieu-Patrick
T1  - Knowledge bases and software support for variant interpretation in precision oncology
JF  - Briefings in bioinformatics
N2  - Precision oncology is a rapidly evolving interdisciplinary medical specialty. Comprehensive cancer panels are becoming increasingly available at pathology departments worldwide, creating the urgent need for scalable cancer variant annotation and molecularly informed treatment recommendations. A wealth of mainly academia-driven knowledge bases calls for software tools supporting the multi-step diagnostic process. We derive a comprehensive list of knowledge bases relevant for variant interpretation by a review of existing literature followed by a survey among medical experts from university hospitals in Germany. In addition, we review cancer variant interpretation tools, which integrate multiple knowledge bases. We categorize the knowledge bases along the diagnostic process in precision oncology and analyze programmatic access options as well as the integration of knowledge bases into software tools. The most commonly used knowledge bases provide good programmatic access options and have been integrated into a range of software tools. For the wider set of knowledge bases, access options vary across different parts of the diagnostic process. Programmatic access is limited for information regarding clinical classifications of variants and for therapy recommendations. The main issue for databases used for biological classification of pathogenic variants and pathway context information is the lack of standardized interfaces. There is no single cancer variant interpretation tool that integrates all identified knowledge bases. Specialized tools are available and need to be further developed for different steps in the diagnostic process.
KW  - HiGHmed
KW  - personalized medicine
KW  - molecular tumor board
KW  - data integration
KW  - cancer therapy
Y1  - 2021
U6  - https://doi.org/10.1093/bib/bbab134
SN  - 1467-5463
SN  - 1477-4054
VL  - 22
IS  - 6
PB  - Oxford Univ. Press
CY  - Oxford
ER  -