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Wyszukujesz frazę "Lehmann, Przemysław" wg kryterium: Autor

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    Wyświetlanie 1-3 z 3
    Tytuł:
    Infectious diseases of horseradish (Cochlearia armoracia L.) in Poland.
    Autorzy:
    Górecka, Krystyna
    Lehmann, Przemysław
    Powiązania:
    https://bibliotekanauki.pl/articles/2198832.pdf
    Data publikacji:
    2001-06-21
    Wydawca:
    Instytut Hodowli i Aklimatyzacji Roślin
    Tematy:
    Cochlearia armoracia
    diseases: fungal and viral
    horseradish
    Opis:
    Poland is an important horseradish grower in Europe, therefore the problems concerning its cultivation and diseases are considered vital. Horseradish diseases can be classified as non-infectious and fungal, bacterial or virus origin. The most important fungal disease is white-rust caused by Albugo candida, which can be responsible for up to 50% loss of yield, in the case of heavy infection. Bacterial diseases are not very important now. Turnip mosaic virus (TuMV), arabis mosaic virus (AMV) and tomato black ring virus (TBRV) were found so far on horseradish in Poland. The most important is TuMV, which was found in almost 100% collected horseradish samples and caused yield loss about 40%. The virus TuMV belongs to the Potyvirus genus (VC57.0.1) from the Potyviridae family (VC57), which is the largest family of plant viruses. It infects many economically important plants. Attempts to eradicate TuMV by means of thermotherapy proved ineffective. At the Research Institute of Vegetable Crops, methods of obtaining TuMV-free horseradish plants (together with methods of its fast multiplication) have been developed in in vitro cultures.
    Źródło:
    Plant Breeding and Seed Science; 2001, 45, 1; 55-64
    1429-3862
    2083-599X
    Pojawia się w:
    Plant Breeding and Seed Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimization of transient Agrobacterium-mediated gene expression system in leaves of Nicotiana benthamiana
    Autorzy:
    Wydro, Mateusz
    Kozubek, Edward
    Lehmann, Przemysław
    Powiązania:
    https://bibliotekanauki.pl/articles/1041239.pdf
    Data publikacji:
    2006
    Wydawca:
    Polskie Towarzystwo Biochemiczne
    Tematy:
    RNA silencing
    Nicotiana benthamiana
    viral suppressor
    Agrobacterium-mediated transient expression
    Opis:
    Here we report on a simple and reproducible system of Agrobacterium-mediated transient gene expression assay that utilizes infiltration of young Nicotiana benthamiana leaves. Although some of the phenomena described in this paper have been already reported by other researchers, here we have further developed them. The highest level of transient gfp gene expression was detected in the youngest leaves of N. benthamiana infiltrated with A. tumefaciens strains AGL0 and EHA105 precultured in the presence of 450-600 µM acetosyringone. Although the maximum level of transient gfp gene expression was restricted presumably by RNA silencing, it was completely suppressed in the presence of the viral protein HC-Pro. The transient expression system described here can be used to identify new viral suppressors of RNA silencing, for detailed analysis of unidentified genes and for industrial production of proteins in plants as well.
    Źródło:
    Acta Biochimica Polonica; 2006, 53, 2; 289-298
    0001-527X
    Pojawia się w:
    Acta Biochimica Polonica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Xception-based Architecture with Cross-sampled Training for Image Quality Assessment on KonIQ-10ĸ
    Autorzy:
    Tomasz, M. Lehmann
    Przemyslaw, Rokita
    Powiązania:
    https://bibliotekanauki.pl/articles/31339412.pdf
    Data publikacji:
    2023
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Instytut Informatyki Technicznej
    Tematy:
    image quality assessment
    computer vision
    Xception
    Opis:
    Image quality assessment is a crucial task in various fields such as digital photography, online content creation, and automated quality control, as it ensures an optimal visual experience and aids in maintaining consistent standards. In this paper, we propose an efficient method for training image quality assessment models on the KonIQ-10ĸ dataset. Our novel approach utilizes a dual-Xception architecture that analyzes both the image content and additional image parameters, outperforming traditional single convolutional models. We introduce cross-sampling methods with random draw sampling of instances from majority classes, effectively enhancing prediction quality in the Mean Opinion Score(MOS) ranges that are underrepresented in the database. This methodology allows us to achieve near state-of-the-art results with limited computing costs and resources. Most importantly, our predictions across the entire spectrum of MOS values maintain consistent quality. Because of using a novel and highly effective method for image sampling, we achieved these results with much lower computational cost, making our approach the most effective way of MOS estimation on the KonIQ-10ĸ database.
    Źródło:
    Machine Graphics & Vision; 2023, 32, 2; 109-127
    1230-0535
    2720-250X
    Pojawia się w:
    Machine Graphics & Vision
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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