Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Reza AA"'
Autor:
Valeria Dulio, Nikiforos Alygizakis, Kelsey Ng, Emma L. Schymanski, Sandrine Andres, Katrin Vorkamp, Juliane Hollender, Saskia Finckh, Reza Aalizadeh, Lutz Ahrens, Elodie Bouhoulle, Ľuboš Čirka, Anja Derksen, Geneviève Deviller, Anja Duffek, Mar Esperanza, Stellan Fischer, Qiuguo Fu, Pablo Gago-Ferrero, Peter Haglund, Marion Junghans, Stefan A. E. Kools, Jan Koschorreck, Benjamin Lopez, Miren Lopez de Alda, Giuseppe Mascolo, Cécile Miège, Leonard Osté, Simon O’Toole, Pawel Rostkowski, Tobias Schulze, Kerry Sims, Laetitia Six, Jaroslav Slobodnik, Pierre-François Staub, Gerard Stroomberg, Nikolaos S. Thomaidis, Anne Togola, Giorgio Tomasi, Peter C. von der Ohe
Publikováno v:
Environmental Sciences Europe, Vol 36, Iss 1, Pp 1-22 (2024)
Abstract Background Prioritisation of chemical pollutants is a major challenge for environmental managers and decision-makers alike, which is essential to help focus the limited resources available for monitoring and mitigation actions on the most re
Externí odkaz:
https://doaj.org/article/c34fe57eed5546748019d0a6f7871515
Publikováno v:
IEEE Access, Vol 12, Pp 67063-67093 (2024)
Predictive Process Monitoring (PPM) techniques leverage incomplete execution traces and historical event logs to predict outcomes, activities, and remaining time in ongoing processes. Accurately predicting process remaining time benefits process mana
Externí odkaz:
https://doaj.org/article/40c766bfb6f448a5977f439b400f048f
Autor:
Georgia Charkoftaki, Reza Aalizadeh, Alvaro Santos-Neto, Wan Ying Tan, Emily A. Davidson, Varvara Nikolopoulou, Yewei Wang, Brian Thompson, Tristan Furnary, Ying Chen, Elsio A. Wunder, Andreas Coppi, Wade Schulz, Akiko Iwasaki, Richard W. Pierce, Charles S. Dela Cruz, Gary V. Desir, Naftali Kaminski, Shelli Farhadian, Kirill Veselkov, Rupak Datta, Melissa Campbell, Nikolaos S. Thomaidis, Albert I. Ko, Yale IMPACT Study Team, David C. Thompson, Vasilis Vasiliou
Publikováno v:
Human Genomics, Vol 17, Iss 1, Pp 1-17 (2023)
Abstract Over the last century, outbreaks and pandemics have occurred with disturbing regularity, necessitating advance preparation and large-scale, coordinated response. Here, we developed a machine learning predictive model of disease severity and
Externí odkaz:
https://doaj.org/article/2f4a257343224b1581834ef8402d7d6e
Alzheimer’s disease: using gene/protein network machine learning for molecule discovery in olive oil
Autor:
Luís Rita, Natalie R. Neumann, Ivan Laponogov, Guadalupe Gonzalez, Dennis Veselkov, Domenico Pratico, Reza Aalizadeh, Nikolaos S. Thomaidis, David C. Thompson, Vasilis Vasiliou, Kirill Veselkov
Publikováno v:
Human Genomics, Vol 17, Iss 1, Pp 1-11 (2023)
Abstract Alzheimer’s disease (AD) poses a profound human, social, and economic burden. Previous studies suggest that extra virgin olive oil (EVOO) may be helpful in preventing cognitive decline. Here, we present a network machine learning method fo
Externí odkaz:
https://doaj.org/article/73070e5ef050416b9cca1a903d7d34e8
Autor:
Wiebke Dürig, Sofia Lindblad, Oksana Golovko, Georgios Gkotsis, Reza Aalizadeh, Maria-Christina Nika, Nikolaos Thomaidis, Nikiforos A. Alygizakis, Merle Plassmann, Peter Haglund, Qiuguo Fu, Juliane Hollender, Jade Chaker, Arthur David, Uwe Kunkel, André Macherius, Lidia Belova, Giulia Poma, Hugues Preud'Homme, Catherine Munschy, Yann Aminot, Carsten Jaeger, Jan Lisec, Martin Hansen, Katrin Vorkamp, Linyan Zhu, Francesca Cappelli, Claudio Roscioli, Sara Valsecchi, Renzo Bagnati, Belén González, Ailette Prieto, Olatz Zuloaga, Ruben Gil-Solsona, Pablo Gago-Ferrero, Sara Rodriguez-Mozaz, Hélène Budzinski, Marie-Helene Devier, Georg Dierkes, Lise Boulard, Griet Jacobs, Stefan Voorspoels, Heinz Rüdel, Lutz Ahrens
Publikováno v:
Environment International, Vol 181, Iss , Pp 108288- (2023)
A collaborative trial involving 16 participants from nine European countries was conducted within the NORMAN network in efforts to harmonise suspect and non-target screening of environmental contaminants in whole fish samples of bream (Abramis brama)
Externí odkaz:
https://doaj.org/article/9dc7833311d549239c38555903805bb5
Autor:
Evan E. Bolton, Haralambos Sarimveis, Egon L. Willighagen, Hervé Ménager, Susanna-Assunta Sansone, Nina Jeliazkova, Antony J. Williams, Sirarat Sarntivijai, Emma L. Schymanski, Rob Stierum, Karel Berka, Pascal Kahlem, Jos Bessems, Pavel Babica, Montserrat Cases, Ludek Blaha, Hristo Aladjov, Reza Aalizadeh, Karine Audouze, Kasia Arturi, Alasdair Gray, Roland Grafström, Daan P. Geerke, Henner Hollert, Ola Spjuth, John M. Hancock, Kirtan Dave, Dimitrios Ε. Damalas, Thomas Exner, Marco Dilger, Boï Kone, Todor Kondic, Uko Maran, Steffen Neumann, Iseult Lynch, Fabien Jourdan, Philippe Rocca-Serra, Ferran Sanz, Danyel Jennen, Jos Kleinjans, Jana Klanova, Reza M. Salek, Sylvie Remy, Tobias Schulze, Brett Sallach, Penny Nymark, Sergio Martinez Cuesta, Noelia Ramirez, Herbert Oberacher, Craig E. Wheelock, Gerard J.P. van Westen, Barbara Zdrazil, Hilda Witters, Jonathan Tedds, Marvin Martens, Jaroslav Slobodnik, Ralf J.M. Weber, Nikolaos Thomaidis, Anže Županič, Chris T. Evelo
Publikováno v:
F1000Research, Vol 10 (2023)
Toxicology has been an active research field for many decades, with academic, industrial and government involvement. Modern omics and computational approaches are changing the field, from merely disease-specific observational models into target-speci
Externí odkaz:
https://doaj.org/article/e59322df245a4fc28be0854e2252ef78
Autor:
Georgios Gkotsis, Maria-Christina Nika, Varvara Nikolopoulou, Nikiforos Alygizakis, Erasmia Bizani, Reza Aalizadeh, Alexander Badry, Elizabeth Chadwick, Alessandra Cincinelli, Daniela Claßen, Sara Danielsson, René Dekker, Guy Duke, Wiebke Drost, Natalia Glowacka, Bernd Göckener, Hugh A.H. Jansman, Monika Juergens, Burkhard Knopf, Jan Koschorreck, Oliver Krone, Tania Martellini, Paola Movalli, Sara Persson, Elaine D. Potter, Simon Rohner, Anna Roos, Emily O' Rourke, Ursula Siebert, Gabriele Treu, Nico W. van den Brink, Lee A. Walker, Rosie Williams, Jaroslav Slobodnik, Nikolaos S. Thomaidis
Publikováno v:
Environment International, Vol 170, Iss , Pp 107623- (2022)
Apex predators are good indicators of environmental pollution since they are relatively long-lived and their high trophic position and spatiotemporal exposure to chemicals provides insights into the persistent, bioaccumulative and toxic (PBT) propert
Externí odkaz:
https://doaj.org/article/2f55dfc5a00643b1af49d2909a23c30e
Autor:
Bastian Schulze, Denice van Herwerden, Ian Allan, Lubertus Bijlsma, Nestor Etxebarria, Martin Hansen, Sylvain Merel, Branislav Vrana, Reza Aalizadeh, Bernard Bajema, Florian Dubocq, Gianluca Coppola, Aurélie Fildier, Pavla Fialová, Emil Frøkjær, Roman Grabic, Pablo Gago-Ferrero, Thorsten Gravert, Juliane Hollender, Nina Huynh, Griet Jacobs, Tim Jonkers, Sarit Kaserzon, Marja Lamoree, Julien Le Roux, Teresa Mairinger, Christelle Margoum, Giuseppe Mascolo, Emmanuelle Mebold, Frank Menger, Cécile Miège, Jeroen Meijer, Régis Moilleron, Sapia Murgolo, Massimo Peruzzo, Martijn Pijnappels, Malcolm Reid, Claudio Roscioli, Coralie Soulier, Sara Valsecchi, Nikolaos Thomaidis, Emmanuelle Vulliet, Robert Young, Saer Samanipour
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-10 (2021)
Measurement(s) chemical • drinking water Technology Type(s) high resolution mass spectrometry • non-target analysis • Interlaboratory Factor Type(s) method Sample Characteristic - Environment laboratory environment Machine-accessible metadata f
Externí odkaz:
https://doaj.org/article/c1ecbd37dc0740e485cc3e6f29a2a0e0
Publikováno v:
Arabian Journal of Chemistry, Vol 12, Iss 8, Pp 2141-2149 (2019)
In this work, the quantitative structure–activity relationship models were developed for predicting activity of a series of compounds such as CK2 inhibitors using multiple linear regressions and support vector machine methods. The data set consiste
Externí odkaz:
https://doaj.org/article/cc9742efd1f747e490c5e65847334a46
Publikováno v:
Rāhburdhā-yi Mudīriyyat dar Niẓām-i Salāmat, Vol 4, Iss 1, Pp 67-84 (2019)
Background: Establishment of the intra-organizational collaboration network has become a critical strategy to provide high-quality services with a low cost in the health system. In order to utilize the benefits of collaborative networks, an appropria
Externí odkaz:
https://doaj.org/article/5c65ac968bb24a2a9338835cc177c694