428 research outputs found

    Structure of 2-Methyl-5,6,7-triphenyl-6,7-dihydropyrazolo[2,3-\u3cem\u3ea\u3c/em\u3e]pyrimidine

    Get PDF
    C25H21N3, Mr = 363.46, monoclinic, P21/n, a = 9.245 (2), b = 23.502 (5), c = 9.340 (2) Å, β= 103.50(3)°, V=1973.3(2) Å3, Z=4, Dx= 1.220 (2) g cm-3, λ (Mo Kα )= 0.71069 Å, μ = 0.068 cm-1, F(000) = 768, T= 292 K, R = 0.091 for 1442 unique observed reflections. The dihydropyrimidine ring adopts a distorted sofa conformation. The aryl substituents on the saturated C atoms have an axial orientation

    Structure of 5-nitro-2-tosylaminobenzaldehyde di(morpholin-4-yl)aminal Complex with Carbon Tetrachloride

    Get PDF
    The 5-nitro-2-tosylaminobenzaldehyde di(morpholin-4-yl)aminal forms a stable complex with carbon tetrachloride in the crystal phase. X-ray structural study of this complex indicates an essentially shortened intermolecular contact of 2.89 Å between the oxygen atom of the nitro group and one of the chlorine atom of the CCI4 molecule. Quantum-chemical calculations by semiempirical AMI method showed that the formation of such complex did not cause considerable decrease of system energy or change of charge distribution in molecules. It was supposed that this associate has van der Waals character

    Determination of Different Biological Factors on the Base of Dried Blood Spot Technology

    Full text link
    It is well-known that distinct biological indices (analytes) have distinct variability. We try to use some mathematical algorithms to pick out a set of blood parameters which give an opportunity to retrieve the initial volume of the blood spotted, and use it to calculate exact concentrations of analyts interesting to a physician. For our analysis we used the database of biochemical blood parameters obtained in Russian Scientific Center of Roentgen-Radiology during 1995-2000, which includes more than 30000 of patients.Comment: 5 page

    Скрытная цифровая модуляция звуковых сигналов

    Get PDF
    Розроблені алгоритми вбудовування цифрових водяних знаків у звукові сигнали із збереженням норми сигналу. У якості параметру квантування застосовується коефіцієнт кореляції сигнального вектору і випадкової послідовності. Досліджені КАМ і АМ подібні види модуляції коефіцієнту кореляції в області дискретного перетворення Фур’є для каналів з адитивним білим гаусівським шумом і міжсимвольними спотвореннями.Introduction. A modern methods of digital signal processing are capable to embed imperceptibly an additional information into audio signals using so called digital watermarks (DWM). DWM are characterized by the main parameters: payload, fidelity and robustness. One of the most important methods for DWM is based on quantization of certain signal parameters. But quantization methods are very sensitive to amplitude scaling and doesn’t proved appropriate fidelity and robustness. The main part. The designed embedding algorithm is based on quantization of correlation coefficient between signal vector generally in a complex L-dimensional space and real random vector. Algorithm keeps signal norm that allows signal normalization in modulation and demodulation processes and minimizes the embedding distortions. Variants of correlation coefficient quantization in the forms of Quadrature Amplitude Modulation and Amplitude Modulation in the frequency domain of discrete Fourier transform are considered. The proposed multichannel algorithm provides robustness against intersymbol interference (ISI). It is proved advantages of data embedding in the frequency domain versus time domain and row-wise forming of signal vector for ISI resistance. It is shown by computer simulation the ability of flexible regulation of watermark performances by means of appropriate choosing of algorithm parameters. Practical implementation of the proposed algorithm is based on sliding processing in the whole and comparison of received and calculated hash functions. Conclusion. The proposed algorithm demonstrates watermarks inaudibility because of preserving signal power before and after data embedding and proportional watermarking according to instantaneous carrier signal power. Watermark payload – fidelity – robustness compromise is provided by appropriate parameters choosing N, L, K, Δ in watermarking algorithm. The designed algorithms are applicable in mobile maritime and aeronautical radiotelephone services and resolving "analog hole" problem in the digital rights management for copy control of audio files.Разработан алгоритм встраивания цифровых водяных знаков в звуковые сигналы с сохранением нормы сигнала. В качестве параметра квантования используется коэффициент корреляции сигнального вектора и случайной последовательности. Исследованы КАМ и АМ подобные виды модуляции коэффициента корреляции в области дискретного преобразования Фурье для каналов с аддитивным белым гауссовским шумом и межсимвольными искажениями

    Synthesis and Structure of Aminoguanidinium Sulfite Monohydrate

    Get PDF
    Abstract—The reaction between sulfur(IV) oxide and an aqueous suspension of aminoguanidinium hydro carbonate yields (CN4H7)2SO3 ⋅ H2O, an “onium” sulfite, which has been characterized by Xray diffraction and IR spectroscopy and mass spectrometry. The structure of the salt is stabilized by numerous Hbonds, such as NH⋅⋅⋅O, OH⋅⋅⋅O, and NH⋅⋅⋅N. The incorporation of pyramidal ions into the network of Hbonds is accompanied by the lowering of their symmetry in comparison with C3v, thus complicating the IR spectra of the salt in the region where the vibrations of the anion appear

    One-pot three-component synthesis of 3-cyano-4-methyl-2,6-dioxopyridine amino enones

    Get PDF
    (Z)-5-(Arylaminomethylidene)-4-methyl-2,6-dioxo-1,2,5,6-tetrahydropyridine-3-carbonitriles were obtained by three-component condensation of 4-methyl-2,6-dioxo-1,2,5,6-tetrahydropyridine-3-carbonitrile with aromatic amines and trimethyl orthoformate in DMF. According to X-ray data, in the solid phase they exist as amino enone tautomer

    Determining Optimal Mining Work Size on the OpenCL Platform for the Ethereum Cryptocurrency

    Get PDF
    In terms of cryptocurrency, mining is a process of creating a new transaction block to add it to the blockchain. The cryptocurrency protocol should ensure the reliability of new transaction blocks. One of the popular mining protocols is the Proof-of-Work protocol, which requires the miner to perform a certain work to verify its right to add a new block into the blockchain. To perform this work, high-performance hardware is used, such as GPU. On the program level, hardware needs special computing framework, for example, CUDA or OpenCL. In this article, we discuss Ethereum cryptocurrency mining using the OpenCL standard. The Ethereum cryptocurrency is the most popular cryptocurrency with GPU-based mining. There are several open-source implementations of the Ethereum cryptocurrency miners. The host-part of the OpenCL-miner is considered, which makes the research results independent of the mining algorithm and allows using the results of the research in the mining of other cryptocurrencies. During the research, we have found the problems, which lead to mining productivity loss, and we are looking for the ways to resolve these problems and thus increase mining performance. As part of solving these problems, we have developed the algorithm for the functioning of the miner and proposed the methodology of determining the optimal size of OpenCL work, which allows to reduce the impact of problems found and achieve maximum mining productivity using OpenCL framework

    Synthesis, Crystal Structure, Vibrational Spectra, and Thermochemical Transformations of Tris(hydroxymethyl)aminomethane

    Get PDF
    Abstract—A practically promising compound, tris(hydroxymethyl)aminomethane sulfate ((TRISH)2SO4, C8H24N2O10S) was synthesized and studied by a set of experimental methods (elemental analysis, IR and Raman spectroscopy, mass spectrometry, thermogravimetry)
    corecore