TY - JOUR A1 - Hudson, Lawrence N. A1 - Newbold, Tim A1 - Contu, Sara A1 - Hill, Samantha L. L. A1 - Lysenko, Igor A1 - De Palma, Adriana A1 - Phillips, Helen R. P. A1 - Senior, Rebecca A. A1 - Bennett, Dominic J. A1 - Booth, Hollie A1 - Choimes, Argyrios A1 - Correia, David L. P. A1 - Day, Julie A1 - Echeverria-Londono, Susy A1 - Garon, Morgan A1 - Harrison, Michelle L. K. A1 - Ingram, Daniel J. A1 - Jung, Martin A1 - Kemp, Victoria A1 - Kirkpatrick, Lucinda A1 - Martin, Callum D. A1 - Pan, Yuan A1 - White, Hannah J. A1 - Aben, Job A1 - Abrahamczyk, Stefan A1 - Adum, Gilbert B. A1 - Aguilar-Barquero, Virginia A1 - Aizen, Marcelo A1 - Ancrenaz, Marc A1 - Arbelaez-Cortes, Enrique A1 - Armbrecht, Inge A1 - Azhar, Badrul A1 - Azpiroz, Adrian B. A1 - Baeten, Lander A1 - Báldi, András A1 - Banks, John E. A1 - Barlow, Jos A1 - Batáry, Péter A1 - Bates, Adam J. A1 - Bayne, Erin M. A1 - Beja, Pedro A1 - Berg, Ake A1 - Berry, Nicholas J. A1 - Bicknell, Jake E. A1 - Bihn, Jochen H. A1 - Böhning-Gaese, Katrin A1 - Boekhout, Teun A1 - Boutin, Celine A1 - Bouyer, Jeremy A1 - Brearley, Francis Q. A1 - Brito, Isabel A1 - Brunet, Jörg A1 - Buczkowski, Grzegorz A1 - Buscardo, Erika A1 - Cabra-Garcia, Jimmy A1 - Calvino-Cancela, Maria A1 - Cameron, Sydney A. A1 - Cancello, Eliana M. A1 - Carrijo, Tiago F. A1 - Carvalho, Anelena L. A1 - Castro, Helena A1 - Castro-Luna, Alejandro A. A1 - Cerda, Rolando A1 - Cerezo, Alexis A1 - Chauvat, Matthieu A1 - Clarke, Frank M. A1 - Cleary, Daniel F. R. A1 - Connop, Stuart P. A1 - D'Aniello, Biagio A1 - da Silva, Pedro Giovani A1 - Darvill, Ben A1 - Dauber, Jens A1 - Dejean, Alain A1 - Diekötter, Tim A1 - Dominguez-Haydar, Yamileth A1 - Dormann, Carsten F. A1 - Dumont, Bertrand A1 - Dures, Simon G. A1 - Dynesius, Mats A1 - Edenius, Lars A1 - Elek, Zoltán A1 - Entling, Martin H. A1 - Farwig, Nina A1 - Fayle, Tom M. A1 - Felicioli, Antonio A1 - Felton, Annika M. A1 - Ficetola, Gentile F. A1 - Filgueiras, Bruno K. C. A1 - Fonte, Steve J. A1 - Fraser, Lauchlan H. A1 - Fukuda, Daisuke A1 - Furlani, Dario A1 - Ganzhorn, Jörg U. A1 - Garden, Jenni G. A1 - Gheler-Costa, Carla A1 - Giordani, Paolo A1 - Giordano, Simonetta A1 - Gottschalk, Marco S. A1 - Goulson, Dave A1 - Gove, Aaron D. A1 - Grogan, James A1 - Hanley, Mick E. A1 - Hanson, Thor A1 - Hashim, Nor R. A1 - Hawes, Joseph E. A1 - Hébert, Christian A1 - Helden, Alvin J. A1 - Henden, John-André A1 - Hernández, Lionel A1 - Herzog, Felix A1 - Higuera-Diaz, Diego A1 - Hilje, Branko A1 - Horgan, Finbarr G. A1 - Horváth, Roland A1 - Hylander, Kristoffer A1 - Horváth, Roland A1 - Isaacs-Cubides, Paola A1 - Ishitani, Mashiro A1 - Jacobs, Carmen T. A1 - Jaramillo, Victor J. A1 - Jauker, Birgit A1 - Jonsell, Matts A1 - Jung, Thomas S. A1 - Kapoor, Vena A1 - Kati, Vassiliki A1 - Katovai, Eric A1 - Kessler, Michael A1 - Knop, Eva A1 - Kolb, Annette A1 - Körösi, Àdám A1 - Lachat, Thibault A1 - Lantschner, Victoria A1 - Le Féon, Violette A1 - LeBuhn, Gretchen A1 - Légaré, Jean-Philippe A1 - Letcher, Susan G. A1 - Littlewood, Nick A. A1 - López-Quintero, Carlos A. A1 - Louhaichi, Mounir A1 - Lövei, Gabor L. A1 - Lucas-Borja, Manuel Esteban A1 - Luja, Victor H. A1 - Maeto, Kaoru A1 - Magura, Tibor A1 - Mallari, Neil Aldrin A1 - Marin-Spiotta, Erika A1 - Marhall, E. J. P. A1 - Martínez, Eliana A1 - Mayfield, Margaret M. A1 - Mikusinski, Gregorz A1 - Milder, Jeffery C. A1 - Miller, James R. A1 - Morales, Carolina L. A1 - Muchane, Mary N. A1 - Muchane, Muchai A1 - Naidoo, Robin A1 - Nakamura, Akihiro A1 - Naoe, Shoji A1 - Nates-Parra, Guiomar A1 - Navarerete Gutierrez, Dario A. A1 - Neuschulz, Eike L. A1 - Noreika, Norbertas A1 - Norfolk, Olivia A1 - Noriega, Jorge Ari A1 - Nöske, Nicole M. A1 - O'Dea, Niall A1 - Oduro, William A1 - Ofori-Boateng, Caleb A1 - Oke, Chris O. A1 - Osgathorpe, Lynne M. A1 - Paritsis, Juan A1 - Parrah, Alejandro A1 - Pelegrin, Nicolás A1 - Peres, Carlos A. A1 - Persson, Anna S. A1 - Petanidou, Theodora A1 - Phalan, Ben A1 - Philips, T. Keith A1 - Poveda, Katja A1 - Power, Eileen F. A1 - Presley, Steven J. A1 - Proença, Vânia A1 - Quaranta, Marino A1 - Quintero, Carolina A1 - Redpath-Downing, Nicola A. A1 - Reid, J. Leighton A1 - Reis, Yana T. A1 - Ribeiro, Danilo B. A1 - Richardson, Barbara A. A1 - Richardson, Michael J. A1 - Robles, Carolina A. A1 - Römbke, Jörg A1 - Romero-Duque, Luz Piedad A1 - Rosselli, Loreta A1 - Rossiter, Stephen J. A1 - Roulston, T'ai H. A1 - Rousseau, Laurent A1 - Sadler, Jonathan P. A1 - Sáfián, Szbolcs A1 - Saldaña-Vásquez, Romeo A. A1 - Samnegård, Ulrika A1 - Schüepp, Christof A1 - Schweiger, Oliver A1 - Sedlock, Jodi L. A1 - Shahabuddin, Ghazala A1 - Sheil, Douglas A1 - Silva, Fernando A. B. A1 - Slade, Eleanor A1 - Smith-Pardo, Allan H. A1 - Sodhi, Navjot S. A1 - Somarriba, Eduardo J. A1 - Sosa, Ramón A. A1 - Stout, Jane C. A1 - Struebig, Matthew J. A1 - Sung, Yik-Hei A1 - Threlfall, Caragh G. A1 - Tonietto, Rebecca A1 - Tóthmérész, Béla A1 - Tscharntke, Teja A1 - Turner, Edgar C. A1 - Tylianakis, Jason M. A1 - Vanbergen, Adam J. A1 - Vassilev, Kiril A1 - Verboven, Hans A. F. A1 - Vergara, Carlos H. A1 - Vergara, Pablo M. A1 - Verhulst, Jort A1 - Walker, Tony R. A1 - Wang, Yanping A1 - Watling, James I. A1 - Wells, Konstans A1 - Williams, Christopher D. A1 - Willig, Michael R. A1 - Woinarski, John C. Z. A1 - Wolf, Jan H. D. A1 - Woodcock, Ben A. A1 - Yu, Douglas W. A1 - Zailsev, Andreys A1 - Collen, Ben A1 - Ewers, Rob M. A1 - Mace, Georgina M. A1 - Purves, Drew W. A1 - Scharlemann, Jörn P. W. A1 - Pervis, Andy T1 - The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts JF - Ecology and Evolution N2 - Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - ). We make site-level summary data available alongside this article. The full database will be publicly available in 2015. KW - urban-rural gradient KW - instensively managed farmland KW - Mexican coffee plantations KW - Bombus Spp. Hymenoptera KW - bumblebee nest density KW - data sharing KW - land use KW - habitat destruction KW - global change KW - land-use change KW - plant community composition KW - Northeastern Costa Rica KW - dung beetle coleoptera KW - bird species richness Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-114425 VL - 4 IS - 24 ER - TY - JOUR A1 - Bachmann, Friederike A1 - Schreder, Martin A1 - Engelhardt, Monika A1 - Langer, Christian A1 - Wolleschak, Denise A1 - Mügge, Lars Olof A1 - Dürk, Heinz A1 - Schäfer-Eckart, Kerstin A1 - Blau, Igor Wolfgang A1 - Gramatzki, Martin A1 - Liebisch, Peter A1 - Grube, Matthias A1 - Metzler, Ivana v. A1 - Bassermann, Florian A1 - Metzner, Bernd A1 - Röllig, Christoph A1 - Hertenstein, Bernd A1 - Khandanpour, Cyrus A1 - Dechow, Tobias A1 - Hebart, Holger A1 - Jung, Wolfram A1 - Theurich, Sebastian A1 - Maschmeyer, Georg A1 - Salwender, Hans A1 - Hess, Georg A1 - Bittrich, Max A1 - Rasche, Leo A1 - Brioli, Annamaria A1 - Eckardt, Kai-Uwe A1 - Straka, Christian A1 - Held, Swantje A1 - Einsele, Hermann A1 - Knop, Stefan T1 - Kinetics of renal function during induction in newly diagnosed multiple myeloma: results of two prospective studies by the German Myeloma Study Group DSMM JF - Cancers N2 - Background: Preservation of kidney function in newly diagnosed (ND) multiple myeloma (MM) helps to prevent excess toxicity. Patients (pts) from two prospective trials were analyzed, provided postinduction (PInd) restaging was performed. Pts received three cycles with bortezomib (btz), cyclophosphamide, and dexamethasone (dex; VCD) or btz, lenalidomide (len), and dex (VRd) or len, adriamycin, and dex (RAD). The minimum required estimated glomerular filtration rate (eGFR) was >30 mL/min. We analyzed the percent change of the renal function using the International Myeloma Working Group (IMWG) criteria and Kidney Disease: Improving Global Outcomes (KDIGO)-defined categories. Results: Seven hundred and seventy-two patients were eligible. Three hundred and fifty-six received VCD, 214 VRd, and 202 RAD. VCD patients had the best baseline eGFR. The proportion of pts with eGFR <45 mL/min decreased from 7.3% at baseline to 1.9% PInd (p < 0.0001). Thirty-seven point one percent of VCD versus 49% of VRd patients had a decrease of GFR (p = 0.0872). IMWG-defined “renal complete response (CRrenal)” was achieved in 17/25 (68%) pts after VCD, 12/19 (63%) after RAD, and 14/27 (52%) after VRd (p = 0.4747). Conclusions: Analyzing a large and representative newly diagnosed myeloma (NDMM) group, we found no difference in CRrenal that occurred independently from the myeloma response across the three regimens. A trend towards deterioration of the renal function with VRd versus VCD may be explained by a better pretreatment “renal fitness” in the latter group. KW - multiple myeloma KW - renal failure KW - kidney KW - bortezomib KW - lenalidomide KW - induction regimen Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-234139 SN - 2072-6694 VL - 13 IS - 6 ER - TY - JOUR A1 - Bousquet, Jean A1 - Anto, Josep M. A1 - Bachert, Claus A1 - Haahtela, Tari A1 - Zuberbier, Torsten A1 - Czarlewski, Wienczyslawa A1 - Bedbrook, Anna A1 - Bosnic‐Anticevich, Sinthia A1 - Walter Canonica, G. A1 - Cardona, Victoria A1 - Costa, Elisio A1 - Cruz, Alvaro A. A1 - Erhola, Marina A1 - Fokkens, Wytske J. A1 - Fonseca, Joao A. A1 - Illario, Maddalena A1 - Ivancevich, Juan‐Carlos A1 - Jutel, Marek A1 - Klimek, Ludger A1 - Kuna, Piotr A1 - Kvedariene, Violeta A1 - Le, LTT A1 - Larenas‐Linnemann, Désirée E. A1 - Laune, Daniel A1 - Lourenço, Olga M. A1 - Melén, Erik A1 - Mullol, Joaquim A1 - Niedoszytko, Marek A1 - Odemyr, Mikaëla A1 - Okamoto, Yoshitaka A1 - Papadopoulos, Nikos G. A1 - Patella, Vincenzo A1 - Pfaar, Oliver A1 - Pham‐Thi, Nhân A1 - Rolland, Christine A1 - Samolinski, Boleslaw A1 - Sheikh, Aziz A1 - Sofiev, Mikhail A1 - Suppli Ulrik, Charlotte A1 - Todo‐Bom, Ana A1 - Tomazic, Peter‐Valentin A1 - Toppila‐Salmi, Sanna A1 - Tsiligianni, Ioanna A1 - Valiulis, Arunas A1 - Valovirta, Erkka A1 - Ventura, Maria‐Teresa A1 - Walker, Samantha A1 - Williams, Sian A1 - Yorgancioglu, Arzu A1 - Agache, Ioana A1 - Akdis, Cezmi A. A1 - Almeida, Rute A1 - Ansotegui, Ignacio J. A1 - Annesi‐Maesano, Isabella A1 - Arnavielhe, Sylvie A1 - Basagaña, Xavier A1 - D. Bateman, Eric A1 - Bédard, Annabelle A1 - Bedolla‐Barajas, Martin A1 - Becker, Sven A1 - Bennoor, Kazi S. A1 - Benveniste, Samuel A1 - Bergmann, Karl C. A1 - Bewick, Michael A1 - Bialek, Slawomir A1 - E. Billo, Nils A1 - Bindslev‐Jensen, Carsten A1 - Bjermer, Leif A1 - Blain, Hubert A1 - Bonini, Matteo A1 - Bonniaud, Philippe A1 - Bosse, Isabelle A1 - Bouchard, Jacques A1 - Boulet, Louis‐Philippe A1 - Bourret, Rodolphe A1 - Boussery, Koen A1 - Braido, Fluvio A1 - Briedis, Vitalis A1 - Briggs, Andrew A1 - Brightling, Christopher E. A1 - Brozek, Jan A1 - Brusselle, Guy A1 - Brussino, Luisa A1 - Buhl, Roland A1 - Buonaiuto, Roland A1 - Calderon, Moises A. A1 - Camargos, Paulo A1 - Camuzat, Thierry A1 - Caraballo, Luis A1 - Carriazo, Ana‐Maria A1 - Carr, Warner A1 - Cartier, Christine A1 - Casale, Thomas A1 - Cecchi, Lorenzo A1 - Cepeda Sarabia, Alfonso M. A1 - H. Chavannes, Niels A1 - Chkhartishvili, Ekaterine A1 - Chu, Derek K. A1 - Cingi, Cemal A1 - Correia de Sousa, Jaime A1 - Costa, David J. A1 - Courbis, Anne‐Lise A1 - Custovic, Adnan A1 - Cvetkosvki, Biljana A1 - D'Amato, Gennaro A1 - da Silva, Jane A1 - Dantas, Carina A1 - Dokic, Dejan A1 - Dauvilliers, Yves A1 - De Feo, Giulia A1 - De Vries, Govert A1 - Devillier, Philippe A1 - Di Capua, Stefania A1 - Dray, Gerard A1 - Dubakiene, Ruta A1 - Durham, Stephen R. A1 - Dykewicz, Mark A1 - Ebisawa, Motohiro A1 - Gaga, Mina A1 - El‐Gamal, Yehia A1 - Heffler, Enrico A1 - Emuzyte, Regina A1 - Farrell, John A1 - Fauquert, Jean‐Luc A1 - Fiocchi, Alessandro A1 - Fink‐Wagner, Antje A1 - Fontaine, Jean‐François A1 - Fuentes Perez, José M. A1 - Gemicioğlu, Bilun A1 - Gamkrelidze, Amiran A1 - Garcia‐Aymerich, Judith A1 - Gevaert, Philippe A1 - Gomez, René Maximiliano A1 - González Diaz, Sandra A1 - Gotua, Maia A1 - Guldemond, Nick A. A1 - Guzmán, Maria‐Antonieta A1 - Hajjam, Jawad A1 - Huerta Villalobos, Yunuen R. A1 - Humbert, Marc A1 - Iaccarino, Guido A1 - Ierodiakonou, Despo A1 - Iinuma, Tomohisa A1 - Jassem, Ewa A1 - Joos, Guy A1 - Jung, Ki‐Suck A1 - Kaidashev, Igor A1 - Kalayci, Omer A1 - Kardas, Przemyslaw A1 - Keil, Thomas A1 - Khaitov, Musa A1 - Khaltaev, Nikolai A1 - Kleine‐Tebbe, Jorg A1 - Kouznetsov, Rostislav A1 - Kowalski, Marek L. A1 - Kritikos, Vicky A1 - Kull, Inger A1 - La Grutta, Stefania A1 - Leonardini, Lisa A1 - Ljungberg, Henrik A1 - Lieberman, Philip A1 - Lipworth, Brian A1 - Lodrup Carlsen, Karin C. A1 - Lopes‐Pereira, Catarina A1 - Loureiro, Claudia C. A1 - Louis, Renaud A1 - Mair, Alpana A1 - Mahboub, Bassam A1 - Makris, Michaël A1 - Malva, Joao A1 - Manning, Patrick A1 - Marshall, Gailen D. A1 - Masjedi, Mohamed R. A1 - Maspero, Jorge F. A1 - Carreiro‐Martins, Pedro A1 - Makela, Mika A1 - Mathieu‐Dupas, Eve A1 - Maurer, Marcus A1 - De Manuel Keenoy, Esteban A1 - Melo‐Gomes, Elisabete A1 - Meltzer, Eli O. A1 - Menditto, Enrica A1 - Mercier, Jacques A1 - Micheli, Yann A1 - Miculinic, Neven A1 - Mihaltan, Florin A1 - Milenkovic, Branislava A1 - Mitsias, Dimitirios I. A1 - Moda, Giuliana A1 - Mogica‐Martinez, Maria‐Dolores A1 - Mohammad, Yousser A1 - Montefort, Steve A1 - Monti, Ricardo A1 - Morais‐Almeida, Mario A1 - Mösges, Ralph A1 - Münter, Lars A1 - Muraro, Antonella A1 - Murray, Ruth A1 - Naclerio, Robert A1 - Napoli, Luigi A1 - Namazova‐Baranova, Leyla A1 - Neffen, Hugo A1 - Nekam, Kristoff A1 - Neou, Angelo A1 - Nordlund, Björn A1 - Novellino, Ettore A1 - Nyembue, Dieudonné A1 - O'Hehir, Robyn A1 - Ohta, Ken A1 - Okubo, Kimi A1 - Onorato, Gabrielle L. A1 - Orlando, Valentina A1 - Ouedraogo, Solange A1 - Palamarchuk, Julia A1 - Pali‐Schöll, Isabella A1 - Panzner, Peter A1 - Park, Hae‐Sim A1 - Passalacqua, Gianni A1 - Pépin, Jean‐Louis A1 - Paulino, Ema A1 - Pawankar, Ruby A1 - Phillips, Jim A1 - Picard, Robert A1 - Pinnock, Hilary A1 - Plavec, Davor A1 - Popov, Todor A. A1 - Portejoie, Fabienne A1 - Price, David A1 - Prokopakis, Emmanuel P. A1 - Psarros, Fotis A1 - Pugin, Benoit A1 - Puggioni, Francesca A1 - Quinones‐Delgado, Pablo A1 - Raciborski, Filip A1 - Rajabian‐Söderlund, Rojin A1 - Regateiro, Frederico S. A1 - Reitsma, Sietze A1 - Rivero‐Yeverino, Daniela A1 - Roberts, Graham A1 - Roche, Nicolas A1 - Rodriguez‐Zagal, Erendira A1 - Rolland, Christine A1 - Roller‐Wirnsberger, Regina E. A1 - Rosario, Nelson A1 - Romano, Antonino A1 - Rottem, Menachem A1 - Ryan, Dermot A1 - Salimäki, Johanna A1 - Sanchez‐Borges, Mario M. A1 - Sastre, Joaquin A1 - Scadding, Glenis K. A1 - Scheire, Sophie A1 - Schmid‐Grendelmeier, Peter A1 - Schünemann, Holger J. A1 - Sarquis Serpa, Faradiba A1 - Shamji, Mohamed A1 - Sisul, Juan‐Carlos A1 - Sofiev, Mikhail A1 - Solé, Dirceu A1 - Somekh, David A1 - Sooronbaev, Talant A1 - Sova, Milan A1 - Spertini, François A1 - Spranger, Otto A1 - Stellato, Cristiana A1 - Stelmach, Rafael A1 - Thibaudon, Michel A1 - To, Teresa A1 - Toumi, Mondher A1 - Usmani, Omar A1 - Valero, Antonio A. A1 - Valenta, Rudolph A1 - Valentin‐Rostan, Marylin A1 - Pereira, Marilyn Urrutia A1 - van der Kleij, Rianne A1 - Van Eerd, Michiel A1 - Vandenplas, Olivier A1 - Vasankari, Tuula A1 - Vaz Carneiro, Antonio A1 - Vezzani, Giorgio A1 - Viart, Frédéric A1 - Viegi, Giovanni A1 - Wallace, Dana A1 - Wagenmann, Martin A1 - Wang, De Yun A1 - Waserman, Susan A1 - Wickman, Magnus A1 - Williams, Dennis M. A1 - Wong, Gary A1 - Wroczynski, Piotr A1 - Yiallouros, Panayiotis K. A1 - Yusuf, Osman M. A1 - Zar, Heather J. A1 - Zeng, Stéphane A1 - Zernotti, Mario E. A1 - Zhang, Luo A1 - Shan Zhong, Nan A1 - Zidarn, Mihaela T1 - ARIA digital anamorphosis: Digital transformation of health and care in airway diseases from research to practice JF - Allergy N2 - Digital anamorphosis is used to define a distorted image of health and care that may be viewed correctly using digital tools and strategies. MASK digital anamorphosis represents the process used by MASK to develop the digital transformation of health and care in rhinitis. It strengthens the ARIA change management strategy in the prevention and management of airway disease. The MASK strategy is based on validated digital tools. Using the MASK digital tool and the CARAT online enhanced clinical framework, solutions for practical steps of digital enhancement of care are proposed. KW - ARIA KW - asthma KW - CARAT KW - digital transformation of health and care KW - MASK KW - rhinitis Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-228339 VL - 76 IS - 1 SP - 168 EP - 190 ER - TY - JOUR A1 - Lausch, Angela A1 - Borg, Erik A1 - Bumberger, Jan A1 - Dietrich, Peter A1 - Heurich, Marco A1 - Huth, Andreas A1 - Jung, András A1 - Klenke, Reinhard A1 - Knapp, Sonja A1 - Mollenhauer, Hannes A1 - Paasche, Hendrik A1 - Paulheim, Heiko A1 - Pause, Marion A1 - Schweitzer, Christian A1 - Schmulius, Christiane A1 - Settele, Josef A1 - Skidmore, Andrew K. A1 - Wegmann, Martin A1 - Zacharias, Steffen A1 - Kirsten, Toralf A1 - Schaepman, Michael E. T1 - Understanding forest health with remote sensing, part III: requirements for a scalable multi-source forest health monitoring network based on data science approaches JF - Remote Sensing N2 - Forest ecosystems fulfill a whole host of ecosystem functions that are essential for life on our planet. However, an unprecedented level of anthropogenic influences is reducing the resilience and stability of our forest ecosystems as well as their ecosystem functions. The relationships between drivers, stress, and ecosystem functions in forest ecosystems are complex, multi-faceted, and often non-linear, and yet forest managers, decision makers, and politicians need to be able to make rapid decisions that are data-driven and based on short and long-term monitoring information, complex modeling, and analysis approaches. A huge number of long-standing and standardized forest health inventory approaches already exist, and are increasingly integrating remote-sensing based monitoring approaches. Unfortunately, these approaches in monitoring, data storage, analysis, prognosis, and assessment still do not satisfy the future requirements of information and digital knowledge processing of the 21st century. Therefore, this paper discusses and presents in detail five sets of requirements, including their relevance, necessity, and the possible solutions that would be necessary for establishing a feasible multi-source forest health monitoring network for the 21st century. Namely, these requirements are: (1) understanding the effects of multiple stressors on forest health; (2) using remote sensing (RS) approaches to monitor forest health; (3) coupling different monitoring approaches; (4) using data science as a bridge between complex and multidimensional big forest health (FH) data; and (5) a future multi-source forest health monitoring network. It became apparent that no existing monitoring approach, technique, model, or platform is sufficient on its own to monitor, model, forecast, or assess forest health and its resilience. In order to advance the development of a multi-source forest health monitoring network, we argue that in order to gain a better understanding of forest health in our complex world, it would be conducive to implement the concepts of data science with the components: (i) digitalization; (ii) standardization with metadata management after the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles; (iii) Semantic Web; (iv) proof, trust, and uncertainties; (v) tools for data science analysis; and (vi) easy tools for scientists, data managers, and stakeholders for decision-making support. KW - forest health KW - in situ forest monitoring KW - remote sensing KW - data science KW - digitalization KW - big data KW - semantic web KW - linked open data KW - FAIR KW - multi-source forest health monitoring network Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-197691 SN - 2072-4292 VL - 10 IS - 7 ER - TY - JOUR A1 - Bae, Soyeon A1 - Heidrich, Lea A1 - Levick, Shaun R. A1 - Gossner, Martin M. A1 - Seibold, Sebastian A1 - Weisser, Wolfgang W. A1 - Magdon, Paul A1 - Serebryanyk, Alla A1 - Bässler, Claus A1 - Schäfer, Deborah A1 - Schulze, Ernst-Detlef A1 - Doerfler, Inken A1 - Müller, Jörg A1 - Jung, Kirsten A1 - Heurich, Marco A1 - Fischer, Markus A1 - Roth, Nicolas A1 - Schall, Peter A1 - Boch, Steffen A1 - Wöllauer, Stephan A1 - Renner, Swen C. A1 - Müller, Jörg T1 - Dispersal ability, trophic position and body size mediate species turnover processes: Insights from a multi-taxa and multi-scale approach JF - Diversity and Distribution N2 - Aim: Despite increasing interest in β-diversity, that is the spatial and temporal turnover of species, the mechanisms underlying species turnover at different spatial scales are not fully understood, although they likely differ among different functional groups. We investigated the relative importance of dispersal limitations and the environmental filtering caused by vegetation for local, multi-taxa forest communities differing in their dispersal ability, trophic position and body size. Location: Temperate forests in five regions across Germany. Methods: In the inter-region analysis, the independent and shared effects of the regional spatial structure (regional species pool), landscape spatial structure (dispersal limitation) and environmental factors on species turnover were quantified with a 1-ha grain across 11 functional groups in up to 495 plots by variation partitioning. In the intra-region analysis, the relative importance of three environmental factors related to vegetation (herb and tree layer composition and forest physiognomy) and spatial structure for species turnover was determined. Results: In the inter-region analysis, over half of the explained variation in community composition (23% of the total explained 35%) was explained by the shared effects of several factors, indicative of spatially structured environmental filtering. Among the independent effects, environmental factors were the strongest on average over 11 groups, but the importance of landscape spatial structure increased for less dispersive functional groups. In the intra-region analysis, the independent effect of plant species composition had a stronger influence on species turnover than forest physiognomy, but the relative importance of the latter increased with increasing trophic position and body size. Main conclusions: Our study revealed that the mechanisms structuring assemblage composition are associated with the traits of functional groups. Hence, conservation frameworks targeting biodiversity of multiple groups should cover both environmental and biogeographical gradients. Within regions, forest management can enhance β-diversity particularly by diversifying tree species composition and forest physiognomy. KW - body size KW - dispersal ability KW - environmental filtering KW - forest physiognomy KW - neutral processes KW - plant composition KW - regional species pool KW - species turnover KW - trophic position KW - β-diversity Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-236117 VL - 27 IS - 3 ER - TY - JOUR A1 - Wurmb, Thomas A1 - Franke, Axel A1 - Schorscher, Nora A1 - Kowalzik, Barbara A1 - Helm, Matthias A1 - Bohnen, Renate A1 - Helmerichs, Jutta A1 - Grueneisen, Ulrich A1 - Cwojdzinski, Detlef A1 - Jung, Georg A1 - Lücking, Gesa A1 - Weber, Martin T1 - Emergency response to terrorist attacks: results of the federal-conducted evaluation process in Germany JF - European Journal of Trauma and Emergency Surgery N2 - Purpose Rescue missions during terrorist attacks are extremely challenging for all rescue forces (police as well as non-police forces) involved. To improve the quality and safety of the rescue missions during an active killing event, it is obligatory to adapt common rescue mission goals and strategies. Methods After the recent attacks in Europe, the Federal Office of Civil Protection and Disaster Assistance started an evaluation process on behalf of the Federal Ministry of the Interior and the Federal Ministry of Health. This was done to identify weaknesses, lessons learned and to formulate new adapted guidelines. Results The presented bullet point recommendations summarise the basic and most important results of the ongoing evaluation process for the Federal Republic of Germany. The safety of all the rescue forces and survival of the greatest possible number of casualties are the priority goals. Furthermore, the preservation and re-establishment of the socio-political integrity are the overarching goals of the management of active killing events. Strategic incident priorities are to stop the killing and to save as much lives as possible. The early identification and prioritised transportation of casualties with life-threatening non-controllable bleeding are major tasks and the shortest possible on-scene time is an important requirement with respect to safety issues. Conclusion With respect to hazard prevention tactics within Germany, we attributed the highest priority impact to the bullet points. The focus of the process has now shifted to intense work about possible solutions for the identified deficits and implementation strategies of such solutions during mass killing incidents. KW - terror attack KW - mission strategies KW - lessons learned KW - first responders KW - safety Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-231777 SN - 1863-9933 VL - 46 ER - TY - JOUR A1 - Lorenzin, Francesca A1 - Benary, Uwe A1 - Baluapuri, Apoorva A1 - Walz, Susanne A1 - Jung, Lisa Anna A1 - von Eyss, Björn A1 - Kisker, Caroline A1 - Wolf, Jana A1 - Eilers, Martin A1 - Wolf, Elmar T1 - Different promoter affinities account for specificity in MYC-dependent gene regulation JF - eLife N2 - Enhanced expression of the MYC transcription factor is observed in the majority of tumors. Two seemingly conflicting models have been proposed for its function: one proposes that MYC enhances expression of all genes, while the other model suggests gene-specific regulation. Here, we have explored the hypothesis that specific gene expression profiles arise since promoters differ in affinity for MYC and high-affinity promoters are fully occupied by physiological levels of MYC. We determined cellular MYC levels and used RNA- and ChIP-sequencing to correlate promoter occupancy with gene expression at different concentrations of MYC. Mathematical modeling showed that binding affinities for interactions of MYC with DNA and with core promoter-bound factors, such as WDR5, are sufficient to explain promoter occupancies observed in vivo. Importantly, promoter affinity stratifies different biological processes that are regulated by MYC, explaining why tumor-specific MYC levels induce specific gene expression programs and alter defined biological properties of cells. KW - MYC KW - promoter affinity KW - human KW - mathematical modeling KW - mouse KW - ChIP-sequencing KW - MIZ1 KW - cancer biology KW - cell biology KW - WDR5 Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-162913 VL - 5 ER - TY - JOUR A1 - Hauer, Nadine N. A1 - Popp, Bernt A1 - Taher, Leila A1 - Vogl, Carina A1 - Dhandapany, Perundurai S. A1 - Büttner, Christian A1 - Uebe, Steffen A1 - Sticht, Heinrich A1 - Ferrazzi, Fulvia A1 - Ekici, Arif B. A1 - De Luca, Alessandro A1 - Klinger, Patrizia A1 - Kraus, Cornelia A1 - Zweier, Christiane A1 - Wiesener, Antje A1 - Abou Jamra, Rami A1 - Kunstmann, Erdmute A1 - Rauch, Anita A1 - Wieczorek, Dagmar A1 - Jung, Anna-Marie A1 - Rohrer, Tilman R. A1 - Zenker, Martin A1 - Doerr, Helmuth-Guenther A1 - Reis, André A1 - Thiel, Christian T. T1 - Evolutionary conserved networks of human height identify multiple Mendelian causes of short stature JF - European Journal of Human Genetics N2 - Height is a heritable and highly heterogeneous trait. Short stature affects 3% of the population and in most cases is genetic in origin. After excluding known causes, 67% of affected individuals remain without diagnosis. To identify novel candidate genes for short stature, we performed exome sequencing in 254 unrelated families with short stature of unknown cause and identified variants in 63 candidate genes in 92 (36%) independent families. Based on systematic characterization of variants and functional analysis including expression in chondrocytes, we classified 13 genes as strong candidates. Whereas variants in at least two families were detected for all 13 candidates, two genes had variants in 6 (UBR4) and 8 (LAMA5) families, respectively. To facilitate their characterization, we established a clustered network of 1025 known growth and short stature genes, which yielded 29 significantly enriched clusters, including skeletal system development, appendage development, metabolic processes, and ciliopathy. Eleven of the candidate genes mapped to 21 of these clusters, including CPZ, EDEM3, FBRS, IFT81, KCND1, PLXNA3, RASA3, SLC7A8, UBR4, USP45, and ZFHX3. Fifty additional growth-related candidates we identified await confirmation in other affected families. Our study identifies Mendelian forms of growth retardation as an important component of idiopathic short stature. KW - disease genetics KW - DNA sequencing KW - genetic counselling Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-227899 VL - 27 ER -