7 research outputs found

    Systematic approach to providing intelligent decision support whilst digital transformation of management processes in agro-industrial complex

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    Modern economic conditions, characterized by digitalization processes and the influence of geopolitical factors contributing to the development of domestic information technologies have made the issue of providing support for management decision-making by specialized systems important. In this regard, the purpose of the study is to analyze the logistics of information flows and identify problems associated with the digital transformation of management processes in the agro-industrial complex (AIC). A systematic approach was chosen as the main method. The logical analysis and synthesis were used as well. Based on the identified movements and interrelations of information flows, and limiting factors for its effective use, an automated information and analytical decision support system (AIASDSS) is proposed in the context of a unified digital platform. Its components are described and principles of operation are formulated. In the focus is the creation of an information platform module oriented mainly on agricultural producers who occupy a central place in the agro-industrial complex. It is noted that work is underway to ensure the intellectualization of decision-making processes in agricultural organizations through the use of mathematical, statistical and information tools. Particular solutions are given. The research materials are addressed to authorities and can be used in managing agricultural production

    Author Correction:A consensus protocol for functional connectivity analysis in the rat brain

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    <i>N</i>-(((1<i>S</i>,5<i>R</i>)-6,6-Dimethylbicyclo[3.1.1]hept-2-en-2-yl)methyl)-3-dodecan/tetradecanamido-<i>N</i>,<i>N</i>-dimethylpropan-1-aminium Bromide

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    The syntheses of the title compounds were performed using lauric and myristic acids. The compounds obtained were characterized using 1H-, 13C-NMR and 2D 1H-1H COSY, 1H-13C HSQC NMR, IR, and high-resolution mass spectrometry. Both compounds exhibited bactericidal activity on S. aureus comparable to that of a reference drug (miramistin). Compound 10, with lauric acid fragment, had a 16-fold higher activity on P. aeruginosa compared to compound 11, which in turn contains myristic acid fragment (with minimum inhibitory concentrations of 32 and 512 μg/mL, respectively). Compound 11 exhibited a pronounced activity against all types of fungi (higher than the activity of miramistin), while the activity of compound 10 was considerably lower. Thus, compound 11 can serve as a promising antimicrobial agent for the treatment of various fungal and staphylococcal infections, while compound 10 is of interest to treat P. aeruginosa-associated infections

    A consensus protocol for functional connectivity analysis in the rat brain

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    A consensus protocol for functional connectivity analysis in the rat brain

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    A consensus protocol for functional connectivity analysis in the rat brain

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    Author Correction: A consensus protocol for functional connectivity analysis in the rat brain (Nature Neuroscience, (2023), 26, 4, (673-681), 10.1038/s41593-023-01286-8)

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    In the version of this article initially published, Clément M. Garin was presented in the author list without a middle initial. The name has been amended in the HTML and PDF versions of the article
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