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Wyświetlanie pozycji 39-58 z 79

    • National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021 

      Bracher, Johannes; Wolffram, Danie; Deuschel, Jannik; Görgen, Konstantin; Ketterer, Jakob L.; Ullrich, Alexander; Abbott, Sam; Barbarossa, Maria V.; Bertsimas, Dimitris; Bhatia, Sangeeta; Bodych, Marcin; Bosse, Nikos I.; Burgard, Jan Pablo; Castro, Lauren; Fairchild, Geoffrey; Fiedler, Jochen; Fuhrmann, Jan; Funk, Sebastian; Gambin, Anna; Gogolewski, Krzysztof; Heyder, Stefan; Hotz, Thomas; Kheifetz, Yuri; Kirsten, Holger; Krueger, Tyll; Krymova, Ekaterina; Leithäuser, Neele; Li, Michael L.; Meinke, Jan H.; Miasojedow, Błażej; Michaud, Isaac J.; Mohring, Jan; Nouvellet, Pierre; Nowosielski, Jędrzej M.; Ozanski, Tomasz; Radwan, Maciej; Rakowski, Franciszek; Scholz, Markus; Soni, Saksham; Srivastava, Ajitesh; Gneiting, Tilmann; Schienle, Melanie (Springer Nature, 2022)
      Background: During the COVID-19 pandemic there has been a strong interest in forecasts ofthe short-term development of epidemiological indicators to inform decision makers. In thisstudy we evaluate probabilistic real-time ...

    • The Neumann problem in an irregular domain 

      Bolikowski, Łukasz; Gokieli, Maria; Varchon, Nicolas (EMS, Interfaces and Free Boundaries, 2010)
      We consider the stability of patterns for the reaction-diffusion equation with Neumann boundary conditions in an irregular domain in ℝN, N ≥ 2, the model example being two convex regions connected by a small ‘hole’ in their ...

    • An Ocean of Information. Information overload faced by Internet users 

      Batorski, Dominik (Polska Akademia Nauk, 2011)
      As the amount of online content grows, Internet users’ attention span decreases. This brings an acute need for social and technological solutions that enable users to select the most important and relevant information.

    • Osteopontin—A Potential Biomarker for IgA Nephropathy: Machine Learning Application 

      Moszczuk, Barbara; Krata, Natalia; Rudnicki, Witold; Foroncewicz, Bartosz; Cysewski, Dominik; Pączek, Leszek; Kaleta, Beata; Mucha, Krzysztof (MDPI, 2022-03-22)
      Many potential biomarkers in nephrology have been studied, but few are currently used in clinical practice. One is osteopontin (OPN). We compared urinary OPN concentrations in 80 participants: 67 patients with various ...

    • Otwarte modele komunikacji naukowej a humanistyka cyfrowa 

      Starczewski, Michał (2014-12)

    • Otwarty dostęp czy otwarta nauka? 

      Starczewski, Michał; Stępińska-Ustasiak, Lidia (Narodowe Centrum Kultury, 2014)
      Ostatnie lata postawiły naukowców wobec konieczności wyboru własnych strategii komunikacyjnych. Odbiorcy będą się różnicować: nie będą to tylko czytelnicy; wraz z pojawianiem się nowych sposobów wykorzystywania treści ...

    • Otwarty dostęp w krajach globalnego Południa 

      Glinicka, Małgorzata (Wydawnictwo Naukowe i Edukacyjne SBP, 2020)
      Cel/Teza: Artykuł referuje bieżący etap rozwoju otwartego dostępu w krajach globalnego Południa, ze wskazaniem podobieństw i odmienności pomiędzy różnymi obszarami świata, nakreśleniem specyfiki reprezentatywnych krajów ...

    • Pandémie de Covid-19 dans une perspective des sciences de la nature. La pandémie de SARS-CoV-2 nous a-t-elle pris par surprise ? Mécanismes socio-écosystémiques d’induction du risque épidémiologique, exemple SARS-CoV-2 

      Afelt, Aneta (Wydawnictwa Uniwersytetu Warszawskiego, 2022)
      The SARS-CoV-2 virus is the third human coronavirus detected in the 21st century. It was only a few weeks between the first cases of atypical severe respiratory disease in Wuhan, China (late 2019), and the identification ...

    • PCJ - a Java library for heterogenous parallel computing 

      Nowicki, Marek; Ryczkowska, Magdalena; Górski, Łukasz; Szynkiewicz, Michał; Bała, Piotr (WSEAS, 2022)
      With the wide adoption of the multicore and multiprocessor systems the parallel programming became a very important element of the computer science. The programming of the multicore systems is still complicated and far to ...

    • PCJ Java library as a solution to integrate HPC, Big Data and Artificial Intelligence workloads 

      Nowicki, Marek; Górski, Łukasz; Bała, Piotr (Springer, 2021)
      With the development of peta- and exascale size computational systems there is growing interest in running Big Data and Artificial Intelligence (AI) applications on them. Big Data and AI applications are implemented in ...

    • Persistence of long-term insulin independence after islet transplantation and two subsequent pregnancies 

      Gondek, Sarah; Ogledzinski, Mateusz; Lin, William; Milejczyk, Kamila; Juengel, Braden; Potter, Lisa; Bachul, Piotr J.; Basto, Lindsay; Perea, Laurencia; Wang, Ling-Jia; Tibudan, Martin; Witkowska, Zuzanna; Barth, Rolf; Fung, John; Witkowski, Piotr (Gdański Uniwersytet Medyczny, 2023-06-07)
      Pregnancy increases metabolic demand for insulin and may lead to the exhaustion of intraportally transplanted islets and post-gestational hyperglycemia. To prevent these complications, we implemented preemptive insulin ...

    • Po czym rozpoznać dobre repozytorium? 

      Starczewski, Michał; Lewandowski, Tomasz (Uniwersytet Pedagogiczny w Krakowie, 2014)
      Starannie prowadzone repozytorium to repozytorium dopasowane do całego systemu repozytoryjnego, obejmującego repozytoria instytucjonalne i dziedzinowe oraz repozytoria danych. Wymiana metadanych umożliwia powstawanie ...

    • Praznik: High performance information-based feature selection 

      Kursa, Miron Bartosz (Elsevier, 2021)
      Information filters are an important class of feature selection methods. They bring together strong theoretical background, execution speed and high selection quality. The paper provides a brief review of said methods and ...

    • A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave 

      Bracher, Johannes; Wolffram, Daniel; Deuschel, Jannik; Görgen, Konstantin; Ketterer, Jakob L.; Ullrich, Alexander; Abbott, Sam; Barbarossa, Maria Vittoria; Bertsimas, Dimitris; Bhatia, Sangeeta; Bodych, Marcin; Bosse, Nikos I.; Burgard, Jan Pablo; Castro, Lauren; Fairchild, Geoffrey; Fuhrmann, Jan; Funk, Sebastian; Gogolewski, Krzysztof; Gu, Quanquan; Heyder, Stefan; Hotz, Thomas; Kheifetz, Yuri; Kirsten, Holger; Krueger, Tyll; Krymova, Ekaterina; Li, Michael Lingzhi; Meinke, Jan H.; Michaud, Isaac; Niedzielewski, Karol; Ożański, Tomasz; Rakowski, Franciszek; Scholz, Markus; Soni, Saksham; Srivastava, Ajitesh; Zielinski, Jakub; Zou, Difan; Gneiting, Tilmann; Schienle, Melanie (Springer Nature, 2021)
      Disease modelling has had considerable policy impact during the ongoing COVID-19 pandemic, and it is increasingly acknowledged that combining multiple models can improve the reliability of outputs. Here we report insights ...

    • Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations 

      Sherratt, Katharine; Gruson, Hugo; Grah, Rok; Johnson, Helen; Niehus, Rene; Prasse, Bastian; Sandmann, Frank; Deuschel, Jannik; Wolffram, Daniel; Abbott, Sam; Ullrich, Alexander; Gibson, Graham; Ray, Evan L; Reich, Nicholas G; Sheldon, Daniel; Wang, Yijin; Wattanachit, Nutcha; Wang, Lijing; Trnka, Jan; Obozinski, Guillaume; Sun, Tao; Thanou, Dorina; Pottier, Loic; Krymova, Ekaterina; Meinke, Jan H; Barbarossa, Maria Vittoria; Leithauser, Neele; Mohring, Jan; Schneider, Johanna; Wlazlo, Jaroslaw; Fuhrmann, Jan; Lange, Berit; Rodiah, Isti; Baccam, Prasith; Gurung, Heidi; Stage, Steven; Suchoski, Bradley; Budzinski, Jozef; Walraven, Robert; Villanueva, Inmaculada; Tucek, Vit; Smid, Martin; Zajicek, Milan; Perez Alvarez, Cesar; Reina, Borja; Bosse, Nikos I; Meakin, Sophie R; Castro, Lauren; Fairchild, Geoffrey; Michaud, Isaac; Osthus, Dave; Alaimo Di Loro, Pierfrancesco; Maruotti, Antonello; Eclerova, Veronika; Kraus, Andrea; Kraus, David; Pribylova, Lenka; Dimitris, Bertsimas; Li, Michael Lingzhi; Saksham, Soni; Dehning, Jonas; Mohr, Sebastian; Priesemann, Viola; Redlarski, Grzegorz; Bejar, Benjamin; Ardenghi, Giovanni; Parolini, Nicola; Ziarelli, Giovanni; Bock, Wolfgang; Heyder, Stefan; Hotz, Thomas; Singh, David E; Guzman- Merino, Miguel; Aznarte, Jose L; Morina, David; Alonso, Sergio; Alvarez, Enric; Lopez, Daniel; Prats, Clara; Burgard, Jan Pablo; Rodloff, Arne; Zimmermann, Tom; Kuhlmann, Alexander; Zibert, Janez; Pennoni, Fulvia; Divino, Fabio; Catala, Marti; Lovison, Gianfranco; Giudici, Paolo; Tarantino, Barbara; Bartolucci, Francesco; Lasinio, Giovanna Jona; Mingione, Marco; Farcomeni, Alessio; Srivastava, Ajitesh; Montero-Manso, Pablo; Adiga, Aniruddha; Hurt, Benjamin; Lewis, Bryan; Marathe, Madhav; Porebski, Przemyslaw; Venkatramanan, Srinivasan; Bartczuk, Rafal P; Dreger, Filip; Gambin, Anna; Gogolewski, Krzysztof; Gruziel-Slomka, Magdalena; Krupa, Bartosz; Moszyński, Antoni; Niedzielewski, Karol; Nowosielski, Jedrzej; Radwan, Maciej; Rakowski, Franciszek; Semeniuk, Marcin; Szczurek, Ewa; Zielinski, Jakub; Kisielewski, Jan; Pabjan, Barbara; Holger, Kirsten; Kheifetz, Yuri; Scholz, Markus; Biecek, Przemyslaw; Bodych, Marcin; Filinski, Maciej; Idzikowski, Radoslaw; Krueger, Tyll; Ozanski, Tomasz; Bracher, Johannes; Funk, Sebastian (eLife Sciences Publications Ltd., 2023-06-02)
      Background: Short-term forecasts of infectious disease burden can contribute to situational awareness and aid capacity planning. Based on best practice in other fields and recent insights in infectious disease epidemiology, ...

    • Pro-inflammatory cytokines, but not brain- and extracellular matrix-derived proteins, are increased in the plasma following electrically induced kindling of seizures 

      Chmielewska, Natalia; Maciejak, Piotr; Osuch, Bartosz; Kursa, Miron Bartosz; Szyndler, Janusz (Springer Nature, 2021)
      Background The aim of the study was to evaluate the brain-derived proteins, extracellular matrix-derived protein and cytokines as potential peripheral biomarkers of different susceptibility to seizure development in an ...

    • Qualitative behaviour and numerical approximation of solutions to conservation laws with non-local point constraints on the flux and modeling of crowd dynamics at the bottlenecks 

      Andreianov, Boris; Donadello, Carlotta; Razafison, Ulrich; Rosini, Massimiliano Daniele (2015)
      In this paper we investigate numerically the model for pedestrian traffic proposed in [B. Andreianov, C. Donadello, M.D. Rosini, Crowd dynamics and conservation laws with nonlocal constraints and capacity drop, Mathematical ...

    • Relaying Aversive Ultrasonic Alarm Calls Depends on Previous Experience. Empathy, Social Buffering, or Panic? 

      Karwicka, Wiktoria; Wiatrowska, Marta; Kondrakiewicz, Kacper; Knapska, Ewelina; Kursa, Miron Bartosz; Hamed, Adam (MDPI, 2021)
      Ultrasonic vocalizations are among the oldest evolutionarily forms of animal communication. In order to study the communication patterns in an aversive social situation, we used a behavioral model in which one animal, the ...

    • Research Data Management in the Context of Researchers' Needs and Open Science Advancements in Poland. Overview of the Training Programme of Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw 

      Gruenpeter, Natalia (Poltechnika Gdańska, 2021-12-30)
      The article presents conclusions from research data management (RDM) trainings conducted since 2015 as part of the activities of the Open Science Platform, an initiative of the Interdisciplinary Centre for Mathematical and ...

    • Scalable computing in Java with PCJ Library. Improved collective operations 

      Nowicki, Marek; Górski, Łukasz; Bała, Piotr (Sissa Medialab srl, 2021)
      Machine learning and Big Data workloads are becoming as important as traditional HPC ones. AI and Big Data users tend to use new programming languages such as Python, Julia, or Java, while the HPC community is still ...