Publications by authors named "E Kalinowska"

We analyse the impact of ground-based data assimilation to the Weather Research and Forecasting (WRF) meteorological model on parameters relevant for birch pollen emission calculations. Then, we use two different emission databases (BASE - no data assimilation, OBSNUD - data assimilation for the meteorological model) in the chemical transport model and evaluate birch pollen concentrations. Finally, we apply a scaling factor for the emissions (BASE and OBSNUD), based on the ratio between simulated and observed seasonal pollen integral (SPIn) to analyse its impact on birch concentrations over Central Europe.

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Article Synopsis
  • Increasing allergies from airborne pollen and pollutants are affecting life quality in industrialized nations.
  • The WRF-Chem model, which combines weather data with atmospheric chemistry, was used to analyze birch pollen concentrations in Central Europe for two seasons (2015 and 2016).
  • The model performed well in 2015 but struggled in 2016, indicating the need to adjust seasonal pollen emissions to enhance accuracy in predicting allergy symptoms.
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Preparations from the flowers or herb of the white dead nettle ( L.) are recommended for the treatment of upper respiratory tract disorders or as a topical medication for mild inflammation of the throat, mouth, and skin. Taking into consideration the significance of in traditional medicines across Europe, as well as the lack of studies describing the quantities of their most abundant constituents, we aimed to design a high-performance liquid chromatography coupled with diode-array detection (HPLC-DAD) method for potential standardization procedures of extracts from flowers of .

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The genetic variability of blueberry scorch virus (BlScV) isolates from New York was determined within a portion of the RNA-dependent RNA polymerase gene and the triple gene block and coat protein (CP) genes. Phylogenetic analysis of 19 New York isolates and other isolates for which sequence information is available in GenBank revealed two distinct clades, regardless of the coding region analyzed, and limited variability within (0.029 ± 0.

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Garlic (Allium sativum L.) is vegetatively propagated and can be affected by a virus complex (1) consisting of two potyviruses, Onion yellow dwarf virus (OYDV) and Leek yellow stripe virus (LYSV), and two carlaviruses, Garlic common latent virus (GCLV) and Shallot latent virus (SLV) (2). OYDV, GCLV, and SLV are economically important viral pathogens of bulb garlic crops in many garlic-growing areas of the world.

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