Hi, and thank you for developing BayesPrism, it is an extremely useful tool. I followed the deconvolution tutorial and obtained the Z matrix (bulk × gene × cell type). Now I would like to associate ...
Serbia is willing to pay a premium to regain control of oil refiner NIS AD as it seeks ways to unshackle the Russian-owned company from crippling US sanctions, President Aleksandar Vucic said on ...
BELGRADE, Nov 16 (Reuters) - Serbia has seven days to decide on steps to safeguard fuel supplies from the Serbian refinery of Russian-owned NIS (NIIS.BEL), opens new tab without nationalisation, ...
The steadfast US stance on sanctions against Serbia’s sole refiner, NIS AD, has left Belgrade facing a stark choice: seize the company from Russia, or risk running out of crude, said Energy Minister ...
Russia-owned Naftna Industrija Srbije (NIS) has halted crude processing as U.S. sanctions choke oil flows to Serbia, triggering fears of a fuel shortage ahead of winter. A shipment of roughly one ...
LONDON/BELGRADE, Oct 24 (Reuters) - U.S. sanctions on Russian-owned NIS have prevented the Serbian oil group from receiving a crude cargo that could have bought time for Serbia's sole refinery, which ...
Abstract: Deconvolution, a key technique for enhancing seismic data resolution, represents an actively studied topic within seismic exploration. However, its inherently ill-posed nature renders ...
Serbia’s oil system came under immediate strain Thursday after Washington let a sanctions waiver for Naftna Industrija Srbije (NIS) lapse, exposing the Gazprom Neft-linked refiner to U.S. measures and ...
The US imposed sanctions on Serbia's sole oil refiner, NIS, due to its Russian ownership, aiming to curb Kremlin's war financing. NIS stated it has sufficient oil stocks and gas station supplies ...
The move targets Serbia’s largest energy company, majority-owned by Russia’s Gazprom Neft, increasing pressure on Belgrade to reduce its reliance on Moscow. U.S. sanctions on Serbia’s state-linked ...
Abstract: Starting from first graph signal processing (GSP) principles, we present a novel model-based deep learning approach to blind deconvolution of sparse graph signals. Despite the bilinear ...
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