Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "Peters, Jan" wg kryterium: Autor


Tytuł:
Fixing a Subtrochanteric Femoral Fracture with a Humerus Nail
Autorzy:
Peters, Jan
Köhler, Hans-Christian
Gutcke, André
Schulze, Christoph
Tematy:
femoral fracture
humerus nail
off-label use
salvage solution
paraplegia
Pokaż więcej
Wydawca:
Fundacja Edukacji Medycznej, Promocji Zdrowia, Sztuki i Kultury Ars Medica
Powiązania:
https://bibliotekanauki.pl/articles/28409176.pdf  Link otwiera się w nowym oknie
Opis:
A 17-year-old paraplegic patient sustained a subtrochanteric femoral fracture due to inadequate trauma. The unusual anatomical conditions associated with his congenital paraplegia did not allow treatment with a standard intramedullary implant for the femur. Because his soft tissues were already compromised, alternative options like plate osteosynthesis were considered unfavourable as a salvage procedure. Therefore, we used an implant designed for the humerus. A satisfactory result of osteosynthesis was achieved despite varus deformity, shortening and rotational error.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
GrassPlot v. 2.00 : first update on the database of multi-scale plant diversity in Palaearctic grasslands
Autorzy:
Molau, Ulf
Mašić, Ermin
Kącki, Zygmunt
Savchenko, Galina
Świerszcz, Sebastian
Dramstad, Wenche
Deák, Balázs
Demeter, László
Jiménez-Alfaro, Borja
Hájek, Michal
Burrascano, Sabina
Jeanneret, Philippe
Zlotnikova, Ekaterina
Aleffi, Michele
Dembicz, Iwona
Dřevojan, Pavel
Doležal, Jiří
Etzold, Jonathan
Berg, Christian
Essl, Franz
Dolnik, Christian
Wróbel, Anna
Bhatta, Kuber Prasad
Alatalo, Juha M.
Waldén, Emelie
Pellissier, Vincent
Kelemen, András
Meier, Eliane S.
Tölgyesi, Csaba
Moysiyenko, Ivan
Güler, Behlül
Wolfrum, Sebastian
Swacha, Grzegorz
Pielech, Remigiusz
Valkó, Orsolya
Meerbeek, Koenraad van
Garcia-Mijangos, Itziar
Stevens, Carly
Kuzemko, Anna
Hepenstrick, Daniel
Klichowska, Ewelina
Shyriaieva, Dariia
Babbi, Manuel
Grytnes, John-Arvid
Pedersen, Christian
Nobis, Marcin
Fjellstad, Wendy
Mirin, Denis
Magnes, Martin
Vashenyak, Iuliia
Campos, Juan Antonio
Boch, Steffen
Vetaas, Ole Reidar
Ceulemans, Tobias
Naqinezhad, Alireza
Ninot, Josep M.
Afif, Elias
Erschbamer, Brigitta
Belonovskaya, Elena
Deng, Lei
Widmer, Stefan
Dengler, Jürgen
Lomba, Angela
Mimet, Anne
Nowak, Arkadiusz
Palpurina, Salza
Jägerbrand, Annika K.
Kapfer, Jutta
Vynokurov, Denys
Honrado, João P.
Peters, Jan
Löbel, Swantje
Roleček, Jan
Filibeck, Goffredo
Lepš, Jan
Kirschner, Philipp
Hodgson, John G.
Kolomiiets, Ganna
Tsarevskaya, Nadezda
Ronkin, Vladimir
Janišová, Monika
Bergamini, Ariel
Bátori, Zoltán
Ecker, Klaus
Malicki, Marek
Manthey, Michael
Csergő, Anna Mária
Cancellieri, Laura
Mayrhofer, Helmut
Marcenò, Corrado
Pladevall-Izard, Eulàlia
Biurrun, Idoia
Pérez-Haase, Aaron
Sickel, Hanne
Mechelen, Carmen Van
Lindborg, Regina
Guarino, Riccardo
Wagner, Viktoria
Kozub, Łukasz
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Benchmarking plant diversity of Palaearctic grasslands and other open habitats
Autorzy:
Bueno, Álvaro
Pärtel, Meelis
Liendo, Diego
Pedersen, Christian
Santi, Francesco
Burrascano, Sabina
Bhatta, Kuber Prasad
Lustyk, Pavel
Pipenbaher, Nataša
Conradi, Timo
Ceulemans, Tobias
Mayrhofer, Helmut
Wesche, Karsten
Czarniecka-Wiera, Marta
Wróbel, Anna
Galdo, Gian Pietro Giusso del
Kącki, Zygmunt
Bello, Franesco de
Waldén, Emelie
Cancellieri, Laura
Stevens, Carly
Maccherini, Simona
De Frenne, Pieter
Moysiyenko, Ivan
Aleksanyan, Alla
Lepš, Jan
Swacha, Grzegorz
Etzold, Jonathan
Csergo, Anna Mária
Rahmanian, Soroor
Gutiérrez-Girón, Alba
Silva, Vasco
Mardari, Constantin
Mechelen, Carmen van
Zelený, David
Van Meerbeek, Koenraad
Grytnes, John-Arvid
Tichý, Lubomír
Vynokurov, Denys
Dřevojan, Pavel
Kargar, Mansoureh
Lindborg, Regina
Bátori4, Zoltán
Jeltsch, Florian
Lososová, Zdeňka
Kiehl, Kathrin
Ronkin, Vladimir
Świerszcz, Sebastian
Conti, Luisa
Jeanneret, Philippe
Lomba, Angela
Sperandii, Marta Gaia
Škornik, Sonja
Lazzaro, Lorenzo
Vojtkó, András
Sebastià, Maria Teresa
Pätsch, Ricarda
Biurrun, Idoia
May, Felix
Virtanen, Risto
Calzado, María Rosa Fernández
Helm, Aveliina
Peet, Robert K.
Kapfer, Jutta
Apostolova, Iva
Yuan, Zuoqiang
Luzuriaga, Arantzazu L.
Sonkoly, Judit
Suchrow, Sigrid
Pleskova, Zuzana
Kirschner, Philipp
Mugnai, Michele
Bartha, Sándor
Magnes, Martin
Gavilán, Rosario G.
Reitalu, Triin
Budzhak, Vasyl
Sutcliffe, Laura M.E.
Palpurina, Salza
Wu, Jianshuang
Boch, Steffen
Malicki, Marek
Filibeck, Goffredo
Chiarucci, Alessandro
Ejtehadi, Hamid
Aćić, Svetlana
Teleki, Balázs
Pauli, Harald
Wang, Yun
Pakeman, Robin J.
Ali, Arshad
Vitasović- Kosić, Ivana
Török, Péter
Molnár, Zsolt
Rusina, Solvita
Bergamini, Ariel
Czortek, Patryk
Weiser, Frank
Widmer, Stefan
Löbel, Swantje
Naqinezhad, Alireza
Belonovskaya, Elena
Ashouri, Parvaneh
Ruprecht, Eszter
Garcia-Magro, Daniel
Ushimaru, Atushi
Campos, Juan Anotnio
Manthey, Michael
Villar, Luis
Dolnik, Christian
Natcheva, Rayna
Garcia-Mijangos, Itziar
Rosati, Leonardo
Kuzemko, Anna
Mesa, Joaquín Molero
Moradi, Halime
Jiménez- Alfaro2, Borja
Deng, Lei
Dembicz, Iwona
Akasaka, Munemitsu
Savchenko, Galina
Tsiripidis, Ioannis
Jensen, Kai
Chocarro, Cristina
Deák, Balázs
Essl, Franz
Vasheniak, Iuliia
Demeter6, László
Peters, Jan
Viciani, Daniele
Danihelka, Jiří
Janisova, Monika
Winkler, Manuela
Pérez- Haase, Aaron
Ma, Wenhong
Pedashenko, Hristo
Terzi, Massimo
Baumann, Esther
Chytrý, Milan
Carboni, Marta
Farkas, Tünde
Herrera, Mercedes
Jandt, Ute
Fayvush, George
Kozub, łukasz
Farzam, Mohammad
Turisová, Ingrid
Valkó, Orsolya
Axmanová, Irena
Vanneste, Thomas
Kakinuma, Kaoru
Sanaei, Anvar
Fjellstad, Wendy
Finckh, Manfred
Pladevall-Izard, Eulàlia
Shyriaieva, Dariia
Alatalo, Juha M.
Dolezal, Jiri
Etayo, Javier
Li, Frank Yonghong
Pirini, Chrisoula
Preislerová, Zdenka
Tölgyesi, Csaba
Ninot, Josep M.
Koyama, Asuka
Tsarevskaya, Nadezda
Prentice, Honor C.
Becker, Thomas
Onipchenko, Vladimir
Marcenò, Corrado
Ghafari, Sahar
Diekmann, Martin
Guarino, Riccardo
Acosta, Alicia T.R.
Fotiadis, Georgios
Nowak, Arkadiusz
Torca, Marta
Czarnocka-Cieciura, Marta
Ecker, Klaus
Aleffi, Michele
Berastegi, Asun
White, Hannah
Vassilev, Kiril
Hüllbusch, Elisabeth M.
Merunková, Kristina
Nobis, Marcin
Kelemen, András
Hájek, Michal
Wen, Lu
Sánchez, Ana M.
Talebi, Amir
Erschbamer, Brigitta
Bonini, Ilaria
Stifter, Simon
Alonso, José Luis Benito
Rodríguez- Rojo, Maria Pilar
Roleček, Jan
Bruun, Hans Henrik
Šmerdová, Eva
Cykowska-Marzencka, Beata
Jägerbrand, Annika K.
Germany, Markus
Noroozi, Jalil
Jentsch, Anke
Wolfrum, Sebastian
Zhao, Liqing
Pielech, Remigiusz
Dupré, Cecilia
Michelsen, Ottar
Staniaszek-Kik, Monika
Langer, Nancy
Memariani, Farshid
Afif, Elias
Buldrini, Fabrizio
Ingerpuu, Nele
Potenza, Giovanna
Dengler, Jürgen
Güler, Behlül
Sabovljević, Marko
Gillet, François
Buchler, Marc-Olivier
Li, Ching- Feng
Meier, Eliane Seraina
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection : a prospective multicentre cohort study
Autorzy:
Rupprecht, Harald D.
Peters, Bjorn
Rajzer, Marek
Feldt, Torsten
Catanese, Lorenzo
Papkalla, Armin
Weiss, Guenter
Siwy, Justyna
Schmiedel, Stefan
Thijs, Lutgarde
Canevska-Taneska, Aleksandra
Banasik, Mirosław
Salgueira Lazo, Mercedes
Metzger, Jochen
Neuhaus, Barbara
Spasovski, Goce
Nilsson, Asa
Lubbert, Christoph
von der Leyen, Heiko
Beige, Joachim
Krajewska, Magdalena
Seilmaier, Michael
Staessen, Jan A.
Stegemann, Miriam
Milenkova, Mimoza
Psichogiou, Mina
Mebazaa, Alexandre
Zoufaly, Alexander
Raad, Julia
Wendt, Ralph
Dzitkowska-Zabielska, Magdalena
Mischak, Harald
Fuławka, Łukasz
Yu, Yu-Ling
Normark, Johan
Czerwieńska, Beata
Kalbitz, Sven
Rothfuss, Katja
Dudoignon, Emmanuel
Rumpf, Benedikt
Opis:
Background: The SARS-CoV-2 pandemic is a worldwide challenge. The CRIT-CoV-U pilot study generated a urinary proteomic biomarker consisting of 50 peptides (COV50), which predicted death and disease progression from SARS-CoV-2. After the interim analysis presented for the German Government, here, we aimed to analyse the full dataset to consolidate the findings and propose potential clinical applications of this biomarker. Methods: CRIT-CoV-U was a prospective multicentre cohort study. In eight European countries (Austria, France, Germany, Greece, North Macedonia, Poland, Spain, and Sweden), 1012 adults with PCR-confirmed COVID-19 were followed up for death and progression along the 8-point WHO scale. Capillary electrophoresis coupled with mass spectrometry was used for urinary proteomic profiling. Statistical methods included logistic regression and receiver operating characteristic curve analysis with a comparison of the area under curve (AUC) between nested models. Hospitalisation costs were derived from the care facility corresponding with the Markov chain probability of reaching WHO scores ranging from 3 to 8 and flat-rate hospitalisation costs adjusted for the gross per capita domestic product of each country. Findings: From June 30 to Nov 19, 2020, 228 participants were recruited, and from April 30, 2020, to April 14, 2021, 784 participants were recruited, resulting in a total of 1012 participants. The entry WHO scores were 1–3 in 445 (44%) participants, 4–5 in 529 (52%) participants, and 6 in 38 (4%) participants; and of all participants, 119 died and 271 had disease progression. The odds ratio (OR) associated with COV50 in all 1012 participants for death was 2·44 (95% CI 2·05–2·92) unadjusted and 1·67 (1·34–2·07) when adjusted for sex, age, BMI, comorbidities, and baseline WHO score; and for disease progression, the OR was 1·79 (1·60–2·01) when unadjusted and 1·63 (1·41–1·91) when adjusted (p<0·0001 for all). The predictive accuracy of the optimised COV50 thresholds was 74·4% (71·6–77·1%) for mortality (threshold 0·47) and 67·4% (64·4–70·3%) for disease progression (threshold 0·04). When adjusted for covariables and the baseline WHO score, these thresholds improved AUCs from 0·835 to 0·853 (p=0·033) for death and from 0·697 to 0·730 (p=0·0008) for progression. Of 196 participants who received ambulatory care, 194 (99%) did not reach the 0·04 threshold. The cost reductions associated with 1 day less hospitalisation per 1000 participants were million Euro (M€) 0·887 (5–95% percentile interval 0·730–1·039) in participants at a low risk (COV50 <0·04) and M€2·098 (1·839-2·365) in participants at a high risk (COV50 ≥0·04). Interpretation: The urinary proteomic COV50 marker might be predictive of adverse COVID-19 outcomes. Even in people with mild-to-moderate PCR-confirmed infections (WHO scores 1–4), the 0·04 COV50 threshold justifies earlier drug treatment, thereby potentially reducing the number of days in hospital and associated costs.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies
Autorzy:
Schoonman, Marten
Dalmon, Anne
Filipiak, Michał
Schäfer, Marc O
Castro, Sílvia
Flener, Claude
Lopes, Sara
Verbeke, Wim
van Gennip, Pim
Peters, Jeroen
Ulgezen, Zeynep
Godeau, Ugoline
Matthijs, Severine
Alaux, Cedric
Mcveigh, Adam
Topping, Christopher J
Streicher, Tabea
Sousa, José Paulo
Giurgiu, Alexandru I
Bencsik, Martin
Duan, Xiaodong
Capela, Nuno
Loureiro, João
Leufgen, Kirsten
Valkenburg, Dirk-Jan
van Dooremalen, Coby
Dall’olio, Raffaele
Alves, Joana
Simões, Sandra
Bica, João
Mikołajczyk, Łukasz
Alves da Silva, António
de Smet, Lina
Kumar, Tarun
Horčičková, Eva
de Graaf, Dirk C
Boúúaert, David Claeys
Ziółkowska, Elżbieta
van Delden, April
Beaurepaire, Alexis
Schaafsma, Famke
Le Conte, Yves
Alves, Fátima
Freshley, Dana
Williams, James Henty
van den Bosch, Trudy
Xu, Mang
Moro, Arrigo
Tehel, Anja
Dezmirean, Daniel S
Paxton, Robert J
Wydawca:
MDPI
Cytata wydawnicza:
van Dooremalen, C.; Ulgezen, Z.N.; Dall’Olio, R.; Godeau, U.; Duan, X.; Sousa, J.P.; Schäfer, M.O.; Beaurepaire, A.; van Gennip, P.; Schoonman, M.; et al. Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies. Insects 2024, 15, 76. https://doi.org/10.3390/insects15010076
Opis:
Honey bee colonies have great societal and economic importance. The main challenge that beekeepers face is keeping bee colonies healthy under ever-changing environmental conditions. In the past two decades, beekeepers that manage colonies of Western honey bees (Apis mellifera) have become increasingly concerned by the presence of parasites and pathogens affecting the bees, the reduction in pollen and nectar availability, and the colonies’ exposure to pesticides, among others. Hence, beekeepers need to know the health condition of their colonies and how to keep them alive and thriving, which creates a need for a new holistic data collection method to harmonize the flow of information from various sources that can be linked at the colony level for different health determinants, such as bee colony, environmental, socioeconomic, and genetic statuses. For this purpose, we have developed and implemented the B-GOOD (Giving Beekeeping Guidance by computational-assisted Decision Making) project as a case study to categorize the colony’s health condition and find a Health Status Index (HSI). Using a 3-tier setup guided by work plans and standardized protocols, we have collected data from inside the colonies (amount of brood, disease load, honey harvest, etc.) and from their environment (floral resource availability). Most of the project’s data was automatically collected by the BEEP Base Sensor System. This continuous stream of data served as the basis to determine and validate an algorithm to calculate the HSI using machine learning. In this article, we share our insights on this holistic methodology and also highlight the importance of using a standardized data language to increase the compatibility between different current and future studies. We argue that the combined management of big data will be an essential building block in the development of targeted guidance for beekeepers and for the future of sustainable beekeeping.
Honey bees are very important for nature and food production. However, beekeepers’ work is continuously challenged by pests, pathogens, pesticides, and other impacts of the environment on their honey bee colonies, and, therefore, they would greatly benefit from up-to-date insights on the health condition of their bees. To disturb those bee colonies as little as possible, it is preferable that this information be collected in an automated way. In this article, we present the B-GOOD project as a case study to monitor the health of honey bee colonies in an automated, standardized way. The use of a similar approach by researchers in their future studies would allow the combination of different datasets on bee health. More data combinations would facilitate the use of machine learning to better and more accurately determine the thresholds for beekeeper interventions, the underlying mechanisms of honey bee colony health, and the prediction of health and colony losses, among other indicators.
Dostawca treści:
Repozytorium Centrum Otwartej Nauki
Artykuł
Tytuł:
Prevalence of the apolipoprotein E ε 4 allele in amyloid β positive subjects across the spectrum of Alzheimers disease
Autorzy:
Sarazin, Marie
Zetterberg, Henrik
Molinuevo, Jose Luis
Vos, Stephanie J.B.
Wolk, David A.
Rinne, Juha O.
Fladby, Tormod
Lee, Dong Young
Herukka, Sanna-Kaisa
Peters, Oliver
Grimmer, Timo
Rodrigue, Karen M.
Baldeiras, Ines
Fortea, Juan
Villemagne, Victor
Verbeek, Marcel M.
Engelborghs, Sebastiaan
Tsolaki, Magda
Almdahl, Ina S.
Camus, Vincent
Cohen, Ann D.
Santana, Isabel
Klunk, William E.
Seo, Sang W.
Chetelat, Gael
Roe, Catherine M.
van Waalwijk van Doorn, Linda J.C.
Visser, Pieter Jelle
Frederiksen, Kristian S.
Kornhuber, Johannes
Kandimella, Ramesh
Gkatzima, Olymbia
Rami, Lorena
van Berckel, Bart N.M.
Frisoni, Giovanni B.
Johannsen, Peter
Sanchez-Juan, Pascual
Na, Duk L.
van Buchem, Mark A.
Rodriguez-Rodriguez, Eloy
Fleisher, Adam S.
Hansson, Oskar
Aalten, Pauline P.
Marcusson, Jan
Jagust, William
Hampel, Harald
Gill, Kiran Dip
Teunissen, Charlotte E.
Forster, Stefan
Stomrud, Erik
Mroczko, Barbara
Drzezga, Alexander
Nordberg, Agneta
Spiru, Luiza
de Leon, Mony
Popp, Julius
Ruther, Eckart
Schroder, Johannes
Fagan, Anne M.
Chen, Kewei
Wiltfang, Jens
Cavedo, Enrica
Prabhakar, Sudesh
Lleo, Alberto
Mollergard, Hanne M.
Ivanoiu, Adrian
van Laere, Koen
Brooks, David J.
Groot, Colin
Scheltens, Philip
Mintun, Mark
Rabinovici, Gil D.
de Oliveira, Catarina Resende
Landau, Susan
Verhey, Frans R.J.
Wallin, Asa K.
Ossenkoppele, Rik
Vandenberghe, Rik
Waldemar, Gunhild
Jansen, Willemijn J.
Freund-Levi, Yvonne
Mattsson, Niklas
Morris, John C.
Nordlund, Arto
Klimkowicz-Mrowiec, Aleksandra
Blennow, Kaj
Struyfs, Hanne
van der Flier, Wiesje M.
Rowe, Christopher C.
Soininen, Hilkka
Maier, Wolfgang
Wallin, Anders
Meulenbroek, Olga
Aarsland, Dag
Alcolea, Daniel
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Genetic loci associated with heart rate variability and their effects on cardiac disease risk
Autorzy:
Psaty, Bruce M.
Kahonen, Mika
Hutri-Kahonen, Nina
Nalls, Mike A.
Britton, Annie R.
Smit, Johannes H.
Tragante, Vinicius
Soliman, Elsayed Z.
Kiviniemi, Antti M.
Salvi, Erika
Perz, Siegfried
Huikari, Ville
Sundstrom, Johan
Swenne, Cees A.
Kumari, Meena
Maihofer, Adam X.
von der Heyde, Benedikt
Oldehinkel, Albertine J.
den Hoed, Marcel
Neijts, Melanie
Risbrough, Victoria B.
Mahajan, Anubha
Kooperberg, Charles
Kuznetsova, Tatiana
Morris, Andrew P.
Uitterlinden, Andre G.
Nivard, Michel
Nikus, Kjell
Siscovick, David
Hemerich, Daiane
Kors, Jan A.
Sinner, Moritz F.
Syvanen, Ann-Christine
Vrijkotte, Tanja G.M.
Verweij, Niek
Bieringa, Rob J.
Tiemeier, Henning
Kluttig, Alexander
Lin, Henry J.
Limacher, Marian C.
Navis, Gerjan
Lubitz, Steven A.
Taylor, Kent D.
Krijthe, Bouwe P.
Jarvelin, Marjo-Riitta
van Setten, Jessica
Smith, Nicholas L.
Floras, John S.
Zhang, Zhu-Ming
Voss, Andreas
Bis, Joshua C.
Amare, Azmeraw T.
Abdellaoui, Abdel
Milaneschi, Yuri
Albarwani, Sulayma
Albert, Christine
Gademan, Maaike G.J.
Nolte, Ilja M.
Liao, Duanping
Muller-Nurasyid, Martina
Franco, Oscar H.
Munoz, M. Loretto
Tinker, Lesley E.
Christophersen, Ingrid E.
Raitakari, Olli T.
Auvinen, Juha
Waldenberger, Melanie
Mononen, Nina
Kaab, Stefan
Li, Yun
Thornton, Timothy A.
Wong, Andrew
de Bakker, Paul I.W.
Stricker, Bruno H.
Lyytikainen, Leo-Pekka
Peters, Annette
Zonderman, Alan B.
Reiner, Alexander P.
Riese, Harriette
Brundel, Bianca J.J.M.
Jouven, Xavier
Penninx, Brenda
Willemsen, Gonneke
Staessen, Jan A.
North, Kari E.
Stein, Phyllis K.
Wong, Quenna
Geyer, Mark A.
van der Most, Peter J.
Cusi, Daniele
Kuh, Diana
Snieder, Harold
Rioux, John D.
Gogarten, Stephanie M.
Hottenga, Jouke-Jan
Goyette, Philippe
van der Laan, Sander W.
Ashar, Foram
Laurie, Cathy C.
Hassan, Mohammad
Kivimaki, Mika
Jaju, Deepali
Asselbergs, Folkert W.
Heckbert, Susan R.
Boomsma, Dorret
Alonso, Alvaro
Kerr, Kathleen F.
Hernesniemi, Jussi
Stewart, James D.
Wilhelmsen, Kirk C.
Vaez, Ahmad
Hartman, Catharina A.
Bayoumi, Riad
van Dongen, Jenny
Junttila, Juhani
Stolarz-Skrzypek, Katarzyna
Teumer, Alexander
Hwang, Shih-Jen
O'Donnell, Chris J.
Dierckx, Bram
Ellinor, Patrick T.
Lefrandt, Joop D.
Zafarmand, Mohammad H.
de Geus, Eco J.C.
Greiser, Halina K.
Lindgren, Cecilia M.
Ingelsson, Erik
Juonala, Markus
zu Schwabedissen, Henriette Meyer
Barcella, Matteo
Boucher, Gabrielle
Stilp, Adrienne M.
Lind, Lars
Giedraitis, Vilmantas
van der Harst, Pim
Sofer, Tamar
Jansen, Rick
Nievergelt, Caroline M.
Thayer, Julian F.
Li, Yong
Evans, Michele K.
Huikuri, Heikki
Whitsel, Eric A.
Hofman, Albert
Ormel, Johan
Strauch, Konstantin
Sotoodehnia, Nona
Lehtimaki, Terho
Felix, Janine F.
Axelsson, Tomas
O'Connor, Daniel T.
Friberg, Peter
McKnight, Barbara
Baker, Dewleen G.
Zabaneh, Delilah
Rotter, Jerome I.
Ehret, George B.
Avery, Christy L.
Minassian, Arpi
Eskola, Markku
Tardif, Jean-Claude
van Roon, Arie M.
Kumar, Jitender
Dietrich, Andrea
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies