V. Khanadeev, A. V. Simonenko, B. Khlebtsov, A. Fomin, N. Khlebtsov
{"title":"Effect of hydrochloric acid on the synthesis of gold nanoantennas and their morphological and optical properties","authors":"V. Khanadeev, A. V. Simonenko, B. Khlebtsov, A. Fomin, N. Khlebtsov","doi":"10.1117/12.2624380","DOIUrl":"https://doi.org/10.1117/12.2624380","url":null,"abstract":"Gold nanoantennas are a new type of nanostars with long spikes and small cores and the ability to adjust localized surface plasmon resonance in the range from 600 to 1600 nm by changing the shape and size of nanoparticles. In this work, the morphometric and optical properties of gold nanoantennas are investigated depending on the concentration of gold seeds and hydrochloric acid. Transmission electron microscopy (TEM) reveals a decrease in the spike length and the core diameter of nanoantennas under an increase in the seed concentration. The reaction rate decreases after the addition of hydrochloric acid. With a minimal addition of hydrochloric acid, the length of the spikes increases. However, with an increase in the hydrochloric acid concentration, the length of the spikes decreases. Increasing the concentration of both seeds and hydrochloric acid leads to a shift of the plasmon resonance towards shorter wavelengths. The cell viability test showed negligible in vitro citotoxicity of nanoantennas for two cell lines.","PeriodicalId":234334,"journal":{"name":"Saratov Fall Meeting","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121825004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Selifonova, G. Naumova, A. Selifonov, V. Serzhantov, S. Venig, T. Rusanova
{"title":"Spectrophotometric study of chlorhexidine sorption by glauconite","authors":"E. Selifonova, G. Naumova, A. Selifonov, V. Serzhantov, S. Venig, T. Rusanova","doi":"10.1117/12.2626776","DOIUrl":"https://doi.org/10.1117/12.2626776","url":null,"abstract":"Currently, there is an increased interest in aluminosilicates of natural origin, both in connection with the use in detoxification of waters and soils, and as a matrix for the creation of biologically active composites. The morphological characteristics of glauconite grains from the Beloozersk deposit in the Saratov region and its composite have been studied by scanning electron microscopy. The main sorption characteristics of the enriched fraction of glauconite in relation to chlorhexidine digluconate were determined by spectrophotometry. On the basis of the presented sorption isotherm, the mechanism of immobilization of chlorhexidine ions on a glauconite matrix is analyzed in accordance with the provisions of Langmuir's theory. The basic constants of the Langmuir equation are determined. It was revealed that glauconite has a high sorption activity (up to 87%) in relation to chlorhexidine, which can be in demand as filter media in wastewater treatment, in agriculture, as well as in medicine and veterinary medicine, to create new types of enterosorbents with antibacterial properties.","PeriodicalId":234334,"journal":{"name":"Saratov Fall Meeting","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125908125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Changing functional connectivity during solving cognitive tasks: fNIRS study","authors":"Artem A Badarin, V. Antipov, V. Grubov, S. Kurkin","doi":"10.1117/12.2626381","DOIUrl":"https://doi.org/10.1117/12.2626381","url":null,"abstract":"In this paper, we present an analysis of the dynamics of functional connectivity of the cerebral cortical network using near-infrared spectroscopy during human solutions to simple cognitive tasks. A task-based on the Sternberg paradigm was chosen to provide a cognitive load. We identified statistically significant changes in the communication forces obtained on the basis of the analysis of oxyhemoglobin signals during the experiment. We found that in the course of the experiment, there is a restructuring of the functional network, which is accompanied by a decrease in the average connectivity strength between the cortical areas under study. We showed that there is a correlation between the subjective evaluation of fatigue degree and the characteristics of the identified functional neural network.","PeriodicalId":234334,"journal":{"name":"Saratov Fall Meeting","volume":"64 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125946993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Source-level analysis of age-related differences in the motor initiation phase","authors":"S. Kurkin, A. Hramov","doi":"10.1117/12.2626930","DOIUrl":"https://doi.org/10.1117/12.2626930","url":null,"abstract":"Based on the results of the EEG experiment in the process of human motor execution, we performed in this paper a source-level analysis of brain activity during the motor initiation phase for two age groups: young and elderly adults. In the theta frequency band, we discovered stronger activation of the contralateral area of the primary motor cortex (Postcentral L and Precentral L zones) for elderly subjects compared to young ones in the right (dominant) hand movements. We discuss the correlation of the obtained source-level results with the known age-related slowing down in the motor initiation before the dominant hand movements. The obtained results are essential for explaining age-related changes in behavioral characteristics, such as reaction time, the accuracy of motor performance, etc.","PeriodicalId":234334,"journal":{"name":"Saratov Fall Meeting","volume":"12194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129820474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Computational implementation of the Cascade Hilbert-Zero Decomposition and perspectives of its applications for biophysical signal processing","authors":"E. Postnikov, E. Lebedeva, A. Zyubin, A. Lavrova","doi":"10.1117/12.2625864","DOIUrl":"https://doi.org/10.1117/12.2625864","url":null,"abstract":"We present a detailed description of the numerical implementation (for either MATLAB or GNU Octave) of a novel method for processing data with serial localized peaks intended to distinguish between individual components even when they form a mono-modal but complicatedly shaped structure [E.B. Postnikov et al. Mathematics 9 (2021) 2802]. The essence of the method consists of a cascade of local non-linear approximations by the Gaussian function at the vicinity of the zero-crossings for the signal’s Hilbert transform. At the first level, this procedure is applied to the processed signal directly; at the next level, it is applied to residuals between the signal and approximations on the previous levels. As a practical example, we consider the decomposition of Raman spectra recorded from different strains of Mycobacterium tuberculosis. Finally, we discuss other areas of applicability for the proposed method of signal processing.","PeriodicalId":234334,"journal":{"name":"Saratov Fall Meeting","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128207185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Shupletsov, Margarita Mikenkina, E. Zherebtsov, V. Dremin, A. Bykov, E. Potapova, A. Dunaev, I. Meglinski
{"title":"Low-cost fabrication of PPIX liquid phantoms for use in fluorescence measurements","authors":"V. Shupletsov, Margarita Mikenkina, E. Zherebtsov, V. Dremin, A. Bykov, E. Potapova, A. Dunaev, I. Meglinski","doi":"10.1117/12.2626389","DOIUrl":"https://doi.org/10.1117/12.2626389","url":null,"abstract":"This article presents a liquid phantom technology that simulates the fluorescent properties of protoporphyrin IX (PPIX). A technology was developed for the isolation of PPIX from dark egg shells with a final concentration close to the real values in human tissues. A comparative analysis of the transmittance coefficient of the manufactured phantom as well as the fluorescence spectra measured through the combined use of a CCD spectrometer and a hyperspectral camera is presented as results.","PeriodicalId":234334,"journal":{"name":"Saratov Fall Meeting","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124587988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Flicker-noise spectroscopy analysis of magnetoencephalogram signals in diagnosis and treatment of photosensitive epilepsy","authors":"S. Demin, V. Yunusov, S. Timashev","doi":"10.1117/12.2623095","DOIUrl":"https://doi.org/10.1117/12.2623095","url":null,"abstract":"Our study demonstrates the potential of Flicker-Noise Spectroscopy analysis of neuromagnetic brain responses (magnetoencephalograms) in possible diagnosis and estimating the effectiveness of treatment of photosensitive epilepsy. The tendency of the organism to restore the synchronization to its normal levels is considered the cornerstone of the analysis. A two-parameter Flicker-Noise Spectroscopy cross-correlation function is applied to show that the breakdown of frequency-phase synchronization in the magnetoencephalograms of the patient can be associated with two distinct mechanisms: high-frequency resonances (50-100 Hz) at specific brain areas and changes in high-frequency stochastic components for other brain areas. Our analysis also reveals a certain disruption of regular behavior and occurrence of asymmetry in three-dimensional plots of the cross-correlation function for some healthy controls, suggesting that these individuals may be susceptible to photosensitive epilepsy. We believe that a similar cross-correlation analysis based on appropriate biomedical signals may be used to assess the effectiveness of medical treatment for other diseases and conditions.","PeriodicalId":234334,"journal":{"name":"Saratov Fall Meeting","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122260449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On application of the forbidden permutations patterns methods for time series analysis","authors":"M. L. Korneevets, A. Starodubov, A. Pavlov","doi":"10.1117/12.2634337","DOIUrl":"https://doi.org/10.1117/12.2634337","url":null,"abstract":"Currently, one of the key challenges in many different fields of science and engineering is the development of methods capable of distinguishing noise signals from chaotic ones. Analysis of the nature and structure of temporal data series can predict many adverse events before they occur: heart or epileptic attacks, various engine breakdowns, changes in financial markets, etc. The problem of distinguishing between signals of random nature (noise signals) and signals whose nature is determined by complex non-periodic (chaotic) dynamics, is not yet completely solved. This work was aimed to create a method of time series analysis based on forbidden permutations patterns, which will be able to distinguish the appearance of atypical dynamics. Preliminary results demonstrate the ability forbidden permutations patterns analysis method to distinguish between chaotic and noisy dynamics.","PeriodicalId":234334,"journal":{"name":"Saratov Fall Meeting","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115527489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Isaev, I. Gadzhiev, O. Sarmanova, S. Burikov, T. Dolenko, K. Laptinskiy, S. Dolenko
{"title":"Using method integration transfer learning for neural network solution of an inverse problem in optical spectroscopy","authors":"I. Isaev, I. Gadzhiev, O. Sarmanova, S. Burikov, T. Dolenko, K. Laptinskiy, S. Dolenko","doi":"10.1117/12.2626358","DOIUrl":"https://doi.org/10.1117/12.2626358","url":null,"abstract":"In the previous studies, the integration of optical spectroscopy methods was investigated in order to increase the accuracy of the solution obtained by machine learning methods. The joint use of Raman spectroscopy and optical absorption spectroscopy to determine the concentration of heavy metal ions in water by artificial neural networks was considered. Direct training of neural networks on the data of both types of spectroscopy did not allow us to improve the result in comparison with the individual use of absorption spectroscopy data. In this study, we consider the adaptation of transfer learning approach to the integration of optical spectroscopy methods, which consists in initial training of the neural networks on the data of only the weaker method (Raman spectroscopy), followed by additional training on the data of two methods (Raman and absorption spectroscopy).","PeriodicalId":234334,"journal":{"name":"Saratov Fall Meeting","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114463327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The use of the cross-correlation analysis in the search for diagnostic criteria for nocturnal frontal lobe epilepsy","authors":"V. Yunusov, S. Demin, F. Gafarov","doi":"10.1117/12.2625879","DOIUrl":"https://doi.org/10.1117/12.2625879","url":null,"abstract":"Epilepsy is a neurological disease that leads its patients to suffer from seizures, which condition their behavior and lifestyle. Neurologists use an electroencephalogram (EEG) to diagnose this disease. This method of recording cerebral brain activity illustrates the signaling behavior of a person's brain, allowing, among other things, the diagnosis of epilepsy. In the presented study we investigate the possible applications of cross-correlation analysis in the framework of Memory Functions Formalism for the diagnosis of nocturnal frontal lobe epilepsy (NFLE). During the analysis we study statistical memory effects in bioelectric brain activity of 8 healthy subjects and 19 patients with NFLE. Furthermore, we discover different nature of the spectral behavior of EEG signals as well as the difference in the level of manifestation of the frequency-phase synchronization effects for the control group and the group of patients with epilepsy. Finally, we show that the application of the statistical analysis methodology of cross-correlations in bioelectrical brain cortex activity recordings, after additional verification, can be helpful in the problem of searching for diagnostic criteria of nocturnal frontal lobe epilepsy.","PeriodicalId":234334,"journal":{"name":"Saratov Fall Meeting","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116889683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}