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    Wyświetlanie 1-5 z 5
    Tytuł:
    Rehabilitation after surgical treatment of retrobulbar tumors
    Autorzy:
    Składzień, Jacek
    Wiatr, Agnieszka
    Wiatr, Maciej
    Romanowska-Dixon, Bożena
    Gniadek-Batko, Dominika
    Gawlik, Jolanta
    Zielińska-Kubatko, Anna
    Wróbel, Agnieszka
    Powiązania:
    https://bibliotekanauki.pl/articles/1397307.pdf
    Data publikacji:
    2020
    Wydawca:
    Index Copernicus International
    Tematy:
    diplopia
    orbit’s tumors
    rehabilitation of the muscles which are responsible for the movement of the eyeball
    surgery of the orbit
    Opis:
    The authors propose a set of rehabilitation exercises concerning the muscles which are responsible for movement of the eyeball. After surgical treatments of retrobulbar tumors, the function of the eyeball muscles is often inadequate. Some compensation should be created at the level of the central nervous system, which means trigging adaptation, substitution and habituation. The exercises should be started just after the patient is awakened: first in the horizontal position, then sitting position and finally standing position. The highest number of exercises should be done in the direction of extreme diplopia
    Źródło:
    Polish Journal of Otolaryngology; 2020, 74, 5; 7-10
    0030-6657
    2300-8423
    Pojawia się w:
    Polish Journal of Otolaryngology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Differences in the development of the Szczecin Lagoon area in the Late Glacial and Holocene based on the geochemical analysis of carbonate sediments from Lake Nowowarpieńskie (NW Poland)
    Autorzy:
    Strzelecka, Agnieszka
    Wróbel, Rafał
    Powiązania:
    https://bibliotekanauki.pl/articles/2037033.pdf
    Data publikacji:
    2021-12-23
    Wydawca:
    Łódzkie Towarzystwo Naukowe
    Tematy:
    lacustrine chalk
    geochemistry
    energy dispersive spectroscopy
    Littorina transgression
    Opis:
    This paper presents the results of geochemical analysis performed for the more-than-10-m-long core of sediments derived from Lake Nowowarpieńskie. Contrary to what its geographical name would suggest, it is in fact a peripheral bay  of the Szczecin Lagoon (NW Poland). A characteristic feature of the sedimentary cover of this water body is the several-metre-thick layer of lacustrine chalk, which is unique in the lithology of the sediments of today's Szczecin Lagoon. This sediment has been analysed using atomic absorption spectrometry (AAS), energy-dispersive X-ray spectroscopy (EDS) and scanning electron microscopy (SEM) imaging. The chalk sediment from Lake Nowowarpieńskie is of chemical origin, bearing no fragments of vascular plants, but only traces of C-org in the form of small plant remains. The analysis of individual crystals using the EDS method also show Ca contents of over 99%. SEM images reveal that the sediment is characterised by a loose, disordered pack-ing of individual crystals, often combined to form aggregates with a tabular structure. The individual calcite grains are usually a few micrometres in size, while developed ones are mostly hypidiomorphic and show signs of corrosion. The sedimentation of the lacustrine chalk indicates that the post-glacial natural development of this part of what today constitutes Szczecin Lagoon differed from that of the rest of the lagoon. This sediment was deposited in a shallow but fertile isolated lake. The full profile of sediments from Lake Nowowarpieńskie reveals its distinct bipartite character, indicating two main stages of its evolution: carbonate and post-carbonate. In the first, the water body showed similarities to the neighbouring lakes of the Wkrzańska Plain. Its evolution was driven by climatic factors. The second stage was initiated by a palaeohydrological factor – Littorina transgression, which resulted in the lake being included into the hydrological system of the Szczecin Lagoon.
    Źródło:
    Acta Geographica Lodziensia; 2021, 111; 47-57
    0065-1249
    Pojawia się w:
    Acta Geographica Lodziensia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Assessment of the "Oława" Smelter (Oława, Southwest Poland) on the Environment with Ecotoxicological Tests
    Autorzy:
    Radlińska, Klaudia
    Wróbel, Magdalena
    Stojanowska, Agnieszka
    Rybak, Justyna
    Powiązania:
    https://bibliotekanauki.pl/articles/124911.pdf
    Data publikacji:
    2020
    Wydawca:
    Polskie Towarzystwo Inżynierii Ekologicznej
    Tematy:
    Oława
    smelter
    toxicity
    Opis:
    The aim of the research was to study the impact of "Oława" smelter on surroundings. For this purpose, water, soil and sediments were collected in the vicinity of smelter and subjected to selected ecotoxicological tests. The authors used Spirodela polyrhiza duckweed and Brachinious calyciflorus rotifer for the assessment of the water from Odra River, and Heterocypris inconqruens ostracod for the sediment studies. Triticum sativum and Avena sativa monocotyledons as well as Sinapis alba and Lepidium sativum dicotyledonous plants were used to perform the soil toxicity tests. The obtained results proved slight sediment toxicity, but no toxicity of water was observed. The inhibition of root growth of tested plants was observed suggesting the impact of toxicity on soil. The studies proved that only the area in the nearest vicinity of the "Oława" smelter is still contaminated with heavy metals and may pose a serious threat to the environment.
    Źródło:
    Journal of Ecological Engineering; 2020, 21, 3; 186-191
    2299-8993
    Pojawia się w:
    Journal of Ecological Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Handwrittenword recognition using fuzzy matching degrees
    Autorzy:
    Wróbel, Michał
    Starczewski, Janusz T.
    Fijałkowska, Justyna
    Siwocha, Agnieszka
    Napoli, Christian
    Powiązania:
    https://bibliotekanauki.pl/articles/2031113.pdf
    Data publikacji:
    2021
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    offline handwriting recognition
    handwritten strokes
    fuzzy matching degrees
    interval type-2 fuzzy sets
    decision trees
    bigram frequency
    Opis:
    Handwritten text recognition systems interpret the scanned script images as text composed of letters. In this paper, efficient offline methods using fuzzy degrees, as well as interval fuzzy degrees of type-2, are proposed to recognize letters beforehand decomposed into strokes. For such strokes, the first stage methods are used to create a set of hypotheses as to whether a group of strokes matches letter or digit patterns. Subsequently, the second-stage methods are employed to select the most promising set of hypotheses with the use of fuzzy degrees. In a primary version of the second-stage system, standard fuzzy memberships are used to measure compatibility between strokes and character patterns. As an extension of the system thus created, interval type-2 fuzzy degrees are employed to perform a selection of hypotheses that fit multiple handwriting typefaces.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 3; 229-242
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Machine learning system for automated blood smear analysis
    Autorzy:
    Grochowski, Michał
    Wąsowicz, Michał
    Mikołajczyk, Agnieszka
    Ficek, Mateusz
    Kulka, Marek
    Wróbel, Maciej S.
    Jędrzejewska-Szczerska, Małgorzata
    Powiązania:
    https://bibliotekanauki.pl/articles/220750.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    optical microscopy
    blood cells
    biophotonics
    image analysis
    classification
    eigenfaces
    neural networks
    decision support
    nanodiamonds
    bioimaging
    Opis:
    In this paper the authors propose a decision support system for automatic blood smear analysis based onmicroscopic images. The images are pre-processed in order to remove irrelevant elements and to enhancethe most important ones – the healthy blood cells (erythrocytes) and the pathologic ones (echinocytes). The separated blood cells are analysed in terms of their most important features by the eigenfaces method. The features are the basis for designing the neural network classifier, learned to distinguish between erythrocytes and echinocytes. As the result, the proposed system is able to analyse the smear blood images in a fully automatic way and to deliver information on the number and statistics of the red blood cells, both healthy and pathologic. The system was examined in two case studies, involving the canine and human blood, and then consulted with the experienced medicine specialists. The accuracy of classification of red blood cells into erythrocytes and echinocytes reaches 96%.
    Źródło:
    Metrology and Measurement Systems; 2019, 26, 1; 81-93
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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