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 - Nistor, C. A1 - Osvik, A. A1 - Davidsson, R. A1 - Rose, Andreas A1 - Wollenberger, Ursula A1 - Pfeiffer, Dorothea A1 - Emneus, J. A1 - Fiksdal, L. T1 - Detection of escherichia coli water by culture-based amperometric and luminometric methods Y1 - 2002 ER - TY - JOUR A1 - Nistor, C. A1 - Rose, Andreas A1 - Farre, M. A1 - Stoica, L. A1 - Wollenberger, Ursula A1 - Ruzgas, T. A1 - Pfeiffer, Dorothea A1 - Barcelo, Damia A1 - Gorton, Lo A1 - Emneus, J. T1 - In-field monitoring of cleaning efficiency in waste water treatment plants using two phenolsensitive biosensors Y1 - 2002 ER - TY - THES A1 - Rose, Andreas T1 - Analysis of phenolic compounds by dint of GDH-biosensors and immunoassays N2 - In den letzten Jahren gerieten phenolische Substanzen, wie z.B. Chlor-, Nitrophenol oder Alkylphenolethoxylate aufgrund ihrer Toxizität sowie ihres kanzerogenen und endokrinen Potentials in das Interesse der Öffentlichkeit. Diese Substanzen gelangen in großen Mengen, z.B. aus industriellen Prozessen (Papier-, Kunststoff-, oder Lederindustrie) oder als Abbauprodukte von Pflanzenschutzmitteln in die Umwelt. Ziel dieser Arbeit war es, einfache biochemische Bestimmungsmethoden für verschiedene phenolische Umweltschadstoffe auf Basis biochemischer Erkennungselemente zu entwickeln. Diese sollten als Screeningmethoden in der Vor-Ort-Analytik einsetzbar sein. Die Anwendung sollte kostengünstig und einfach durchzuführen sein, so dass die Messung kein hochwissenschaftliches Personal erfordert. Daher stand im Hintergrund der Arbeit die Integration der Analysenmethode in ein kompaktes Handgerät. Zu diesem Zweck wurde ein Biosensor entwickelt der zur direkten Messung und in Kombination mit einem Immunoassay einsetzbar ist: 1.) Elektrochemischer Biosensor Ein elektrochemischer Biosensor stellt die Verbindung zwischen einer Elektrode und der biologischen Komponente dar. Als Messprinzip wurde die Amperometrie gewählt. Hierbei wird die Präsenz des nachzuweisenden Stoffes durch die angelegte Spannung am Sensor visualisiert, da beim Vorhandensein ein Stromfluss gemessen wird. Um die Signalintensität zu erhöhen können Enzyme als Katalysatoren genutzt werden, die in der Lage sind die Rückreaktion der Elektrodenreaktion zu realisieren. In diesem Fall wurde Glucose-Dehydrogenase (GDH) verwendet, die oxidierte phenolische Verbindungen reduzieren kann. Zusammen mit der Oxidation an der Sensoroberfläche bildet sich ein Verstärkungszyklus aus, der das ursprüngliche Signal vielfach erhöht. Wir waren in der Lage, GDH durch Einbetten in ein Polymerennetzwerk auf der Oberfläche einer gedruckten Platin-Dickschicht-Elektrode zu immobilisieren. Als Resultat erhielten wir einen sehr empfindlichen und äußerst stabilen Biosensor. Seine schnelle Ansprechzeit ermöglicht den Einsatz in automatisierten Fließsystemen zur Messung großer Probenzahlen. Der Einsatz in einem manuell betriebenen Handgerät konnte ebenfalls realisiert werden und brachte nur geringe Beeinträchtigungen in bezug auf die Empfindlichkeit der Messung. Die erfolgreiche Implementierung des Biosensors in das Handgerät wurde in Rahmen eines internationalen Workshops in Barcelona, anhand der Überprüfung der Reinigungsleistung von Klärwerken, gezeigt. 2.) Kombination mit Immunoassays Der Einsatzbereich der GDH-Biosensoren lässt sich durch die Kombination mit anderen Techniken erweitern, wobei der Sensor zur Visualisierung der Nachweisreaktion dient. In diesem Fall kann der Sensor zur Bestimmung der Enzymaktivität von ß?Galactosidase (ßGal) verwendet werden. Der Nachweis geringster Enzymmengen wurde realisiert. Die ßGal wird zur Markierung eines Analytanalogen in Immunoassays verwendet, um die Bindung von Antikörper und Analytmolekül sichtbar zu machen. Im Immunoassay bildet sich ein Gleichgewicht zwischen Antikörper, unmarkiertem Analyt und markiertem Analytanalog (Tracer) aus. Über die Bestimmung der Enzymaktivität kann man die Analytkonzentration in der Probe errechnen. Wir haben unseren GDH-Biosensor erfolgreich mit zwei Techniken kombiniert. Zum Einen mit einem Assay zur Bestimmung von Nitrophenol, der in einem automatisiertem Fließsystem realisiert wurde. Hier wird die Mischung aus Antikörpern, Analyt und Tracer über eine Säule gegeben und gespült. Die gebundenen Bestandteile werden durch den GDH-Biosensor quantifiziert. Zum Anderen wurde ein Kapillarimmunoassay entwickelt, der in das Handgerät integriert werden kann. Dabei wird der Antikörper direkt an der Kapillare fixiert. Die Probe wird mit Tracer vermischt und in die Kapillare gegeben. Dort bildet sich das Gleichgewicht aus und weitere Probenbestandteile werden im Spülschritt eliminiert. Die Analytkonzentration wird durch die Bestimmung des gebunden Tracers (Aktivität der ßGal) mit Hilfe des GDH-Biosensors realisiert. N2 - The development of fast and reliable biochemical tools for on-site screening in environmental analysis was the main target of the present work. Due to various hazardous effects such as endocrine disruption and toxicity phenolic compounds are key analytes in environmental analysis and thus were chosen as model analytes. Three different methods were developed: For the enzymatic detection of phenols in environmental samples an enzyme-based biosensor was developed. In contrast to reported work using tyrosinase or peroxidases, we developed a biosensor based on glucose dehydrogenase as biorecognition element. This biosensor was devoted for an application in a laboratory flow system as well as in a portable device for on-site measurements. This enzymatic detection is applicable only for a limited number of phenols due to substrate specificity of the enzyme. For other relevant compounds based on a phenolic structure (i.e. nitrophenol, alkylphenols and alkylphenol ethoxylates) immunological methods had to be developed. The electrochemical GDH-biosensor was used as the label detector in these immunoassays. Two heterogeneous immunoassays were developed where ßGal was used as the label. An electrochemical method for the determination of the marker enzyme activity was processed. The separation step was realized with protein A/G columns (laboratory flow system) or by direct immobilization of the antibodies in small disposable capillaries (on-site analysis). All methods were targeted on the contemporary analysis of small numbers of samples. KW - Immunoassay; GDH-biosensor; Phenolische Substanzen; Vor-Ort-Analytik; FIA; ß-Galactosidase; Abwasseranalytik KW - immunoassay; GDH-biosensor; phenolic compounds; on-site-analysis; FIA;ß-galactosidase; wastewater analysis Y1 - 2003 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-0001048 ER - TY - JOUR A1 - Rose, Andreas A1 - Pfeiffer, Dorothea A1 - Scheller, Frieder W. A1 - Wollenberger, Ursula T1 - Quinoprotein glucose dehydrogenasemodified thick-film electrodes for the amperometric detection of phenolic compounds in flow injection analysis Y1 - 2001 ER - TY - JOUR A1 - Rose, Andreas T1 - Development of a new biosensor for monitoring xenoestrogens Y1 - 2001 ER - TY - JOUR A1 - López-Sánchez, Aida A1 - Bareth, Georg A1 - Bolten, Andreas A1 - Rose, Laura E. A1 - Mansfeldt, Tim A1 - Sapp, Melanie A1 - Linstädter, Anja T1 - Effects of declining oak vitality on ecosystem multifunctionality BT - lessons from a Spanish oak woodland JF - Forest ecology and management N2 - Mediterranean oak woodlands are currently facing unprecedented degradation threats from oak decline. The Iberian oak decline "Seca", related to Phytophthora infection, causes crown defoliation that may adversely affect ecosystem services (ESs). We aim to improve our understanding of how Seca-induced declines in crown foliation affect the provision of multiple ecosystem services from understory vegetation. We selected holm (Quercus ilex) and cork oak (Q. suber) trees in a Spanish oak woodland and evaluated three proxies of canopy effects. One proxy (crown defoliation) solely captured Seca-dependent effects, one proxy solely captured Seca-independent effects (tree dimensions such as diameter and height), while the third proxy (tree vigor) captured overall canopy effects. We then used the best-performing proxies to assess canopy effects on key ecosystem services (ESs) such as aboveground net primary production (ANPP), grass and legume biomass, species diversity, litter decomposition rates, and a combined index of ecosystem multifunctionality.
We found that both types of canopy effects (i.e. Seca-dependent and Seca-independent effects) were related, indicating that ANPP was disproportionally more affected by Seca when defoliated trees were large. Responses of other ESs were mostly not significant, although lower species diversity was found under trees with intermediate vigor. Our results underline that a Seca-related decline in canopy density triggered a homogenization of ecosystem service delivery on the ecosystem scale. The ecosystem functions (EFs) under trees of low vigor are similar to that in adjacent open microsites indicating that the presence of vigorous (i.e. old and vital) trees is critical for maintaining EFs at a landscape level. Our results also highlight the importance of quantifying not only defoliation but also tree dimensions as both factors jointly and interactively modify canopy effects on ecosystem multifunctionality. KW - ANPP KW - Decomposition KW - Microsite degradation KW - Herb diversity KW - Seca Y1 - 2021 U6 - https://doi.org/10.1016/j.foreco.2021.118927 SN - 0378-1127 SN - 1872-7042 VL - 484 PB - Elsevier CY - Amsterdam ER -