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Njemuwa Nwaji, John Mack, Tebello Nyokong, 4-Bis (4-aminophenoxy)phenoxy derivitized phthalocyanine conjugated to metallic nanoparticles: searching for enhanced optical limiting materials,
NEW JOURNAL OF CHEMISTRY, 41, 1-15, 2017
Edith Dube, Nwaji Njemuwa, John Mack, Tebello Nyokong, the photophysicochemical behavior of symmetric and asymmetric zinc phthalocyanine surface assembled onto gold nanotriangles,
NEW JOURNAL OF CHEMISTRY, 42, 14290-14299, 2018
David O. Oluwole, Nwaji Njemuwa, Lindokhuhle C. Nene, Lesedi Mokone, Edith Dube, Tebello Nyokong, Novel nano-dyad of homoleptic sandwich-type phthalocyanines with nitrogen doped graphene quantum dots for nonlinear optics,
NEW JOURNAL OF CHEMISTRY, 42, 10124-10133, 2018
Kwiatkowski D., Czarny P., Toma M., Korycinska A., Sowinska K., Gałecki P., Bachurska A., Bielecka-Kowalska A., Szemraj J., Maes M., Śliwiński T., Association between single nucleotide polymorphisms of hOGG1, NEIL1, APEX1, FEN1, LIG1 and LIG3 genes and Alzheimer’s disease risk,
NEUROPSYCHOBIOLOGY, 73, 2, 98-107, 2016
Kwiatkowski D., Czarny P., Gałecki P., Bachurska A., Talarowska M., Orzechowska A., Bobińska K., Bielecka-Kowalska A., Pietras T., Szemraj J., Maes M., Śliwiński T., Variants of Base Excision Repair Genes MUTYH, PARP1 and XRCC1 in Alzheimer's Disease Risk,
NEUROPSYCHOBIOLOGY, 71, 3, 176-186, 2015
Szczepański J., Amigó J.M., Wajnryb E., Sanchez-Vives M.V., Characterizing spike trains with Lempel-Ziv complexity,
NEUROCOMPUTING, 58-60, 79-84, 2004
Pręgowska A., Szczepański J., Wajnryb E., Temporal code versus rate code for binary Information Sources,
NEUROCOMPUTING, 216, 756-762, 2016
Paprocki B., Szczepański J., How do the amplitude fluctuations affect the neuronal transmission efficiency,
NEUROCOMPUTING, 104, 50-56, 2013
Koza P., Beroun A., Konopka A., Górkiewicz T., Bijoch Ł., Torres J.C., Bulska E., Knapska E., Kaczmarek L., Konopka W., Neuronal TDP-43 depletion affects activity-dependent plasticity,
NEUROBIOLOGY OF DISEASE, 130, 104499-1-12, 2019
Poon Ch., Rachmadi M.F., Byra M., Shimogori T., Skibbe H., Semi-supervised contrastive learning for semantic segmentation of ISH gene expression in the marmoset brain,
NEURO2022, THE 45TH ANNUAL MEETING OF THE JAPAN NEUROSCIENCE SOCIETY THE 65TH ANNUAL MEETING OF THE JAPANESE SOCIETY FOR NEUROCHEMISTRY THE 32ND ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY, 2022-06-30/07-03, OKINAWA (JP), 1-, 2022
Czyż P., Grabowski F., Vogt J., Beerenwinkel N., Marx A., Beyond Normal: On the Evaluation of Mutual Information Estimators,
NEURIPS 2023, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS, 2023-12-10/12-16, NEW ORLEANS (US), 1-34, 2023
Amigó J.M., Szczepański J., Wajnryb E., Sanchez-Vives M.V., Estimating the Entropy Rate of Spike Trains via Lempel-Ziv Complexity,
NEURAL COMPUTATION, 16, 4, 717-736, 2004
Wang Y., Melikhov Y., Meydan T., Dipole modelling of temperature-dependent magnetic flux leakage,
NDT AND E INTERNATIONAL, 133, 102749-1-9, 2023
Szelążek J., Mackiewicz S., Kowalewski Z.L., New samples with artificial voids for ultrasonic investigation of material damage due to creep,
NDT AND E INTERNATIONAL, 42, 150-156, 2009
Skłodowski R., Drdácký M., Skłodowski M., Identifying subsurface detachment defects by acoustic tracing,
NDT AND E INTERNATIONAL, 56, 56-64, 2013

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