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Pasol L., Martin M., Ekiel-Jeżewska M.L., Wajnryb E., Bławzdziewicz J., Feuillebois F., Motion of a sphere parallel to plane walls in a Poiseuille flow. Application to field-flow fractionation and hydrodynamic chromatography,
CHEMICAL ENGINEERING SCIENCE, 66, 4078-4089, 2011 |  |
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Parol M.A., Majka K., Trawiński Z., Gambin B., Krupienicz A., Obiala J., Nowicki A., Olszewski R., Ultrasonic imaging of radial artery reactive response in patients with hypertension with and without left ventricular hypertrophy,
EUROECHO 2019, EUROECHO 2019 CONGRESS OF THE EUROPEAN ASSOCIATION OF CARDIOVASCULAR IMAGING (EACVI). , 2019-12-04/12-07, VIENNA (AT), 21, Suplement 1, i1239-i1239, 2020 |  |
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Paradiso A.,Volpi M.,Rinoldi C.,Celikkin N.,Contessi Negrini N.,Bilgen M.,Dallera G.,Pierini F.,Costantini M.,Święszkowski W.,Farè S., In vitro functional models for human liver diseases and drug screening: beyond animal testing,
BIOMATERIALS SCIENCE, 11, 9, 2988-3015, 2023 | |
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Paprocki B.,Pręgowska A.,Szczepański J., Does Adding of Neurons to the Network Layer Lead to Increased Transmission Efficiency?,
IEEE ACCESS, 12, 42701-42709, 2024 | |
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Paprocki B., Szczepański J., Kołbuk D., Information transmission efficiency in neuronal communication systems,
BMC NEUROSCIENCE, 14(Suppl 1), P217, 1-2, 2013 | |
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Paprocki B., Szczepański J., How do the amplitude fluctuations affect the neuronal transmission efficiency,
NEUROCOMPUTING, 104, 50-56, 2013 | |
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Paprocki B., Szczepański J., Transmission efficiency in ring, brain inspired neuronal networks. Informationand energetic aspects,
BRAIN RESEARCH, 1536, 135-143, 2013 | |
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Paprocki B., Szczepański J., Effectiveness of information transmission in the brain-like communication models,
10TH INTERNATIONAL NEURAL CODING WORKSHOP, 2012-09-02/09-08, PRAGUE (CZ), 93-94, 2012 | |
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Paprocki B., Szczepański J., Efficiency of neural transmission as a function of synaptic noise, threshold, and source characteristics,
BIOSYSTEMS, 105, 62-72, 2011 | |
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Paprocki B., Pręgowska A., Szczepański J., Optimizing information processing in brain-inspired neural networks,
BULLETIN OF THE POLISH ACADEMY OF SCIENCES: TECHNICAL SCIENCES, 68, 2, 225-233, 2020 | |
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Paprocki B., Pręgowska A., Szczepański J., Information Processing in Brain-Inspired Networks: Size and Density Effects,
SOLMECH 2016, 40TH SOLID MECHANICS CONFERENCE, 2016-08-29/09-02, WARSZAWA (PL), P192, 1-2, 2016 | |
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Papoutsopoulou Stamatia, Burkitt Michael D., Bergey François, England Hazel, Hough Rachael, Schmidt Lorraine, Spiller David G., White Michael H. R., Paszek Paweł, Jackson Dean A., Martins Dos Santos Vitor A. P., Sellge Gernot, Pritchard D. Mark, Campbell Barry J., Müller Werner, Probert Chris S., Macrophage-Specific NF-κB Activation Dynamics Can Segregate Inflammatory Bowel Disease Patients,
FRONTIERS IN IMMUNOLOGY, 10, 2168-1-11, 2019 | |
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Papliński P., Wańkowicz J., Śmietanka H., Ranachowski P., Ranachowski Z., Kudela S.Jr., Aleksiejuk M., Comparative studies on degradation of varistors subjected to operation in surge arresters and surge arrester counters,
ARCHIVES OF METALLURGY AND MATERIALS, 65, 1, 367-374, 2020 | |
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Papliński P., Wańkowicz J., Ranachowski P., Ranachowski Z., Investigation of microstructure of ZnO varistors taken from surge arrester counters,
ARCHIVES OF METALLURGY AND MATERIALS, 64, 1, 191-196, 2019 | |
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Papliński P., Wańkowicz J., Ranachowski P., Ranachowski Z., Microstructure and degree of degradation of ZnO varistors in surge arresters due to operation,
ARCHIVES OF METALLURGY AND MATERIALS, 63, 3, 1267-1273, 2018 | |
