In the present work, fabrication of CS-SnO2-ZnO and CS-ZrO2-Fe2O3 nanocomposites was investigated to apply in different flexible nanoelectronics fields. The morphological and dielectric features of CS-SnO2-ZnO and CS-ZrO2-Fe2O3 nanocomposites films were studied at frequency ranged from 100Hz to 2MHz. The results recognized that the dielectric constant and dielectric loss of CS-SnO2-ZnO and CS-ZrO2-Fe2O3 nanocomposites films were decreased but the conductivity was increased with increasing frequency. The dielectric constant, dielectric loss and conductivity of CS were enhanced when the SnO2-ZnO and ZrO2-Fe2O3 nanoparticles content increased. The final outcomes showed the CS-SnO2-ZnO and CS-ZrO2-Fe2O3 nanocomposites films may be useful in numerous electrical and electronics applications.

Graphynes are a family of two-dimensional carbon materials combining atoms in the sp²- and sp-hybridized state with an ordered arrangement in their structure. One of the promising methods for their synthesis is the Sonogashira cross-coupling reaction, which provides the formation of carbon-carbon bonds between an aryl halide and a terminal alkyne. Traditionally, this process is catalyzed by palladium compounds, but in this work, the possibility of synthesizing γ-graphyne using a nickel catalyst is demonstrated for the first time. The synthesis was carried out at a temperature of 60°C for 24 hours, using hexaiodobenzene as an aryl halide component and calcium carbide as a source of acetylene fragments. The use of IR and Raman spectroscopy confirmed the formation of triple carbon-carbon bonds in the obtained material. According to elemental analysis, the carbon content in the sample was 87.51 at.%. The morphology study by scanning electron microscopy revealed a characteristic flaky structure formed by γ-graphyne layers. X-ray phase analysis recorded a shift of the main diffraction maximum to 24.5° 2θ, which differs significantly from the position of the graphite reflection (26.5° 2θ) and indicates a modification of the crystal structure due to the introduction of acetylene bridges.

The application of the fractional Fourier transform (FrFT) for the formation and analysis of acoustic holograms created by a moving linear frequency-modulated (LFM) source in a shallow-water waveguide is considered. A holographic method is proposed for constructing an interferogram of the LFM signal of a source and converting it into a Fourier hologram based on FrFT in conditions of high noise. The holographic method based on FrFT ensures the formation of localized focal areas arising from mode interference, even with high-intensity noise interference. The effectiveness of the holographic method based on FrFT is analyzed using numerical experiments in the frequency range of 100-150 Hz. The results demonstrate the high noise immunity of the method for locating the source in realistic shallow water conditions with high noise.

An algorithm and programs have been developed in the MATLAB for automatic detection of electroencephalographic predictors of delayed cerebral ischemia after non-traumatic subarachnoid hemorrhage. These predictors are: (1) a decrease in the ratio of the maximum spectral power density of electroencephalogram rhythms in the delta and alpha frequency bands, (2) a decrease in the relative spectral power density of the rhythm in the alpha range, and (3) an increase in the number of sporadic or generalized epileptiform discharges. Predictors (1) and (2) are calculated from 3-hour electroencephalogram spectra, and predictor (3) is calculated from the functions of cross-correlation of electroencephalograms with a selected epileptiform discharge sample. Unlike the well-known automated algorithms for retrospective detection of predictors, which require the participation of neurophysiologists to select artifact-free areas, the developed algorithms make it possible to detect predictors automatically in the presence of artifacts and without the participation of neurophysiologists. Algorithms and programs were tested at individual long-term electroencephalographic monitoring data of 25 patients with suspected development of delayed cerebral ischemia after subarachnoid hemorrhage from the Intensive Care Unit of N.V. Sklifosovsky Research Institute of Emergency Medicine. The execution time of programs on a modern personal computer is several minutes, it makes possible to detect predictors of delayed cerebral ischemia in real time of their manifestation and inform the attending physician about this to make a decision on intensifying the patient's treatment.

One of the possible optical computing methods is the use of multi-slit interference. The accuracy of various multi-slit optical experiments is difficult due to the difficulty of creating appropriate narrow slits for diffraction experiments with 2, 3 or 4 slits. The solution to these and similar technical difficulties may be to change the radiation spectrum from the classical optical range to the microwave region. This article presents preliminary two- and three-slit interference microwave test experiments. To obtain interference, various dielectric bases with metal coatings with two and three slits of different widths were used. Diffraction experiments were performed for microwave frequencies in the range from 36.3 to 53.6 GHz. The possibility of controlling microwave two- and three-slit interference by changing the polarization or introducing a time delay in the path of radiation propagation is shown. In particular, an almost complete mutual attenuation of the signal in the center of the microwave beam was obtained during interference from two slits with a phase shift of radiation from the left and right slits. The study searches for quantum effects in the near Fresnel zone and the far Fraunhofer zone. The possibility of computer simulation of wave scattering on various two-dimensional and three-dimensional objects (microwave converters) is discussed.

Быстрое определение свойств жидкостей важно для различных областей человеческой деятельности, таких как медицина, фармакология, различные химические производства. Мы разработали акустоэлектронный сенсор жидкостей на основе композитного многообертонного резонатора на продольных объемных акустических волнах с операционными частотами СВЧ диапазона, предназначенный для измерения акустических импедансов жидкостей. В основе сенсора лежит многослойная пьезоэлектрическая структура "Al/Al0.72Sc0.28N/Mo/(100) алмаз". Для защиты чувствительного элемента от возможного химического повреждения исследуемыми аналитами был использован металлический корпус таким образом, что тонкоплёночный пьезоэлектрический элемент "Al/Al0.72Sc0.28N/Mo" располагался внутри корпуса. Аналиты размещались на свободной стороне алмазной подложки. Сенсор протестировали на водных растворах NaCl, глицерина и изопропилового спирта с различными концентрациями. Массы проб составляли несколько миллиграммов. Зависимость между приведёнными коэффициентами электрического отражения сенсора и акустическими импедансами жидкостей и растворов оказалась линейной. Благодаря высокой химической инертности и абразивной стойкости алмазной подложки сенсор можно многократно использовать для исследований широкого набора веществ, включая агрессивные жидкости.

В работе с помощью технологии Ленгмюра-Блоджетт сформированы тонкие пьезоактивные пленки на основе поливинилиденфторида (ПВДФ), его сополимера с политетрфторэтиленом (П(ВДФ:ТФЕ)) и их смесей с дисперсиями частиц оксида графена (ОГ). Установлено, что добавление частиц ОГ к рабочим растворам ПВДФ и П(ВДФ:ТФЕ) оказывает влияние на процесс формирования и поверхностные свойства монослоев. Сформированные монослои были перенесены на твердые подложки из высокоориентированного пиролитического графита. Их морфология и пьезосвойства были исследованы методом атомно-силовой микроскопии пьезоотклика. Установлено, что пленки на основе П(ВДФ:ТФЭ) обладают значительно меньшей шероховатостью, равной 10 нм, чем пленки ПВДФ с шероховатостью 47. Основным структурным отличием между пленками ПВДФ и П(ВДФ:ТФЕ) является наличие в них зерен диаметром до 150 нм. Наличие частиц ОГ в пленке ПВДФ:ОГ привело к уменьшению размера зерен и повышению степени однородности покрытия. Для пленки на основе П(ВДФ:ТФЕ) и частиц оксида графена характерным стало незначительное увеличение шероховатости пленки за счет образования единичных непьезоактивных агрегатов частиц ОГ. Термическая обработка пленок способствовала увеличению однородности морфологии их поверхности и приводила к росту локального пьезоэлектрического отклика для всех систем, за исключением пленки П(ВДФ:ТФЕ):ОГ. Количественный анализ петель пьезоэлектрического гистерезиса позволил оценить локальный эффективный пьезомодуль d33. Наибольшим значением d33, с оставившим после отжига 10.1 пм/В, обладала пленка состава П(ВДФ:ТФЕ). Введение частиц ОГ в матрицу ПВДФ приводило к увеличению значения d33 с 0.6 пм/В до 3.4 пм/В. В то же время, введение ОГ в матрицу П(ВДФ:ТФЕ) привело к снижению d33 с 6.6 пм/В до 3.0 пм/В. Подобное поведение величины d33 может быть связано с различным типом встраивания частиц ОГ в полимерные матрицы ПВДФ и П(ВФД:ТФЕ).

This paper addresses the challenge of measurement processes synchronization within devices and systems. It is proposed to use the Global Positioning System (GPS) with the corresponding hardware as a source of precision synchronization pulses. This solution enables precise frequency and time sweep on internal lines and in the generation of high-precision synchronization pulses that provide binding of measurement and process devices coordinates to the measurement system control unit.

The quality of computed tomography (CT) images is severely deteriorated by salt and pepper noise, which affects both automatic analysis and visual interpretation. In order to efficiently eliminate salt and pepper noise while maintaining delicate anatomical structures, this research suggests a New Multiscale Edge-Adaptive Total Variation (MEATV) technique. By combining edge-aware total variation filtering with multiscale image decomposition, the suggested framework improves impulse noise suppression at different resolutions. The NIH Chest CT dataset was subjected to extensive testing at different noise intensities (30%, 50%, 70%, and 90%). The results show that the suggested approach maintains a substantially shorter execution time while consistently achieving higher PSNR and lower MSE when compared to cutting-edge filtering, adaptive, and deep learning techniques. The approach is effective, scalable, and appropriate for clinical real-time applications.