The complete reducibility of some GF(2)A7-modules

It is proved that, if G is a finite group with a nontrivial normal 2-subgroup Q such that G/Q ∼= A 7 and an element of order 5 from G acts freely on Q, then the extension G over Q is splittable, Q is an elementary abelian group, and Q is the direct product of minimal normal subgroups of G each of which is isomorphic, as a G/Q-module, to one of the two 4-dimensional irreducible GF(2)A7-modules that are conjugate with respect to an outer automorphism of the group A7. © 2013 Pleiades Publishing, Ltd

Machine learning technique for morphological classification of galaxies at z<0.1 from the SDSS

Methods. We used different galaxy classification techniques: human labeling, multi-photometry diagrams, Naive Bayes, Logistic Regression, Support Vector Machine, Random Forest, k-Nearest Neighbors, and k-fold validation. Results. We present results of a binary automated morphological classification of galaxies conducted by human labeling, multiphotometry, and supervised Machine Learning methods. We applied its to the sample of galaxies from the SDSS DR9 with redshifts of 0.02 < z < 0.1 and absolute stellar magnitudes of 24m < Mr < 19.4m. To study the classifier, we used absolute magnitudes: Mu, Mg, Mr , Mi, Mz, Mu-Mr , Mg-Mi, Mu-Mg, Mr-Mz, and inverse concentration index to the center R50/R90. Using the Support vector machine classifier and the data on color indices, absolute magnitudes, inverse concentration index of galaxies with visual morphological types, we were able to classify 316 031 galaxies from the SDSS DR9 with unknown morphological types. Conclusions. The methods of Support Vector Machine and Random Forest with Scikit-learn machine learning in Python provide the highest accuracy for the binary galaxy morphological classification: 96.4% correctly classified (96.1% early E and 96.9% late L types) and 95.5% correctly classified (96.7% early E and 92.8% late L types), respectively. Applying the Support Vector Machine for the sample of 316 031 galaxies from the SDSS DR9 at z < 0.1, we found 141 211 E and 174 820 L types among them.Comment: 10 pages, 5 figures. The presentation of these results was given during the EWASS-2017, Symposium "Astroinformatics: From Big Data to Understanding the Universe at Large". It is vailable through \url{http://space.asu.cas.cz/~ewass17-soc/Presentations/S14/Dobrycheva_987.pdf

KiDS0239-3211: A new gravitational quadruple lens candidate

We report the discovery of a candidate to quadrupole gravitationally lensed system KiDS0239-3211 based on the public data release 3 of the KiDS survey and machine learning techniques

High-temperature piezoelectric materials for elements of linear piezo motors

This paper discusses technological and construction ways to achieve a high working temperature with a high displacement in linear piezo motors. The first part reviews the results of the piezoelectric material development, its temperature stability testing and basic parameters for piezo motors. The second part focuses on the multilayer structure of piezoelectric elements, which are based on high-temperature piezoelectric materials (HTPM). Also analyzed are working temperatures of multilayer piezoelectric elements (MPE) and their hysteresis. Finally, the third part shows a comparison of three recent prototypes of high-temperature MPEs that were in our lab using different materials

Magnetic nanoclusters coated with albumin, casein, and gelatin: Size tuning, relaxivity, stability, protein corona, and application in nuclear magnetic resonance immunoassay

The surface functionalization of magnetic nanoparticles improves their physicochemical properties and applicability in biomedicine. Natural polymers, including proteins, are prospective coatings capable of increasing the stability, biocompatibility, and transverse relaxivity (r2) of magnetic nanoparticles. In this work, we functionalized the nanoclusters of carbon-coated iron nanoparticles with four proteins: bovine serum albumin, casein, and gelatins A and B, and we conducted a comprehensive comparative study of their properties essential to applications in biosensing. First, we examined the influence of environmental parameters on the size of prepared nanoclusters and synthesized protein-coated nanoclusters with a tunable size. Second, we showed that protein coating does not significantly influence the r2 relaxivity of clustered nanoparticles; however, the uniform distribution of individual nanoparticles inside the protein coating facilitates increased relaxivity. Third, we demonstrated the applicability of the obtained nanoclusters in biosensing by the development of a nuclear-magnetic-resonance-based immunoassay for the quantification of antibodies against tetanus toxoid. Fourth, the protein coronas of nanoclusters were studied using SDS-PAGE and Bradford protein assay. Finally, we compared the colloidal stability at various pH values and ionic strengths and in relevant complex media (i.e., blood serum, plasma, milk, juice, beer, and red wine), as well as the heat stability, resistance to proteolytic digestion, and shelf-life of protein-coated nanoclusters. © 2019 by the authors. Licensee MDPI, Basel, Switzerland

Application of NMR for quantification of magnetic nanoparticles and development of paper-based assay

H1 NMR relaxometry is a method that is extremely sensitive to the presence of magnetic nanoparticles, which significantly affect the transverse relaxation time of the water proton. Accordingly, the use of magnetic nanoparticles as labels allows detection of even extremely small amounts of the test substance. This paper analyzes the prospects for applying the method of solid-phase NMR-relaxometric determination of biologically active molecules. The nitrocellulose membranes are chosen as a solid phase and nanoparticles based on iron core with a carbon shell are used as magnetic labels. The possibility of detecting small concentrations of magnetic particles in porous medium is demonstrated. Finally, the ability to detect extremely low concentrations of an analyte, in this case, streptavidin protein (0.5 ng/ml to 100 ng/ml), which is actively used in various fields of biology and medicine, is demonstrated. © Published under licence by IOP Publishing Ltd.Russian Science Foundation, RSF: 17-15-01116The work was carried out within the Russian Science Foundation project 17-15-01116. equipment of the Ural Center for Shared Use Modern nanotechnology UrFU was used

Endothelial-like properties of claudin-low breast cancer cells promote tumor vascular permeability and metastasis

The vasculature serves as the main conduit for breast tumor metastases and is a target of therapeutics in many tumor types. In this study, we aimed to determine if tumor-associated vascular properties could help to explain the differences observed in metastagenicity across the intrinsic subtypes of human breast tumors. Analysis of gene expression signatures from more than 3,000 human breast tumors found that genomic programs that measured vascular quantity, vascular proliferation, and a VEGF/Hypoxia-signature were the most highly expressed in claudin-low and basal-like tumors. The majority of the vascular gene signatures added metastasis-predictive information to immunohistochemistry-defined microvessel density scores and genomically defined-intrinsic subtype classification. Interestingly, pure claudin-low cell lines, and subsets of claudin-low-like cells within established basal-like cancer cell lines, exhibited endothelial/tube-like morphology when cultured on Matrigel. In vivo xenografts found that claudin-low tumors, but not luminal tumors, extensively perfused injected contrast agent through paracellular spaces and non-vascular tumor-lined channels. Taken together, the endothelial-like characteristics of the cancer cells, combined with both the amount and the physiologic state of the vasculature contribute to breast cancer metastatic progression. We hypothesize that the genetic signatures we have identified highlight patients that should respond most favorably to anti-vascular agents

Study of the graphene oxide nanoparticles effect on luminol-dependent chemiluminescence of human leukocytes

Graphene and its derivatives are increasingly used in biomedical research. Therefore, the mechanisms and consequences of the interaction of graphene nanoparticles with living objects are intensively studied. The immune system is involved in protecting the body and regulating its functions, so the question of the effect of graphene and its derivatives on immune cells is crucial. The specific response of monocytes, macrophages, and neutrophils to a stimulus is to increase the production of reactive oxygen species (ROS). Published data on graphene oxide (GO) and polyethylene glycol-modified graphene oxide (GO-PEG) effects on peripheral blood leukocytes are scarce and contradictory. It is due to variations in objects and conditions of study, along with the difference in particle concentrations. Thus, it was essential to evaluate the GO and GO-PEG effect on ROS production by human leukocytes. Our study aimed at the effect of particles of unmodified and PEG-modified graphene oxide (GO and GO-PEG) on the ROS production by peripheral blood leukocytes in not-stimulated and stimulated luminoldependent chemiluminescence (LCL) tests. ROS production was stimulated by opsonized zymosan (OZ). A hydrogen peroxide-luminol system was used for assessing the independent effect of GO nanoparticles on the quenching of ROS luminescence. Pristine GO (Ossila, Great Britain) nanoparticles were PEG-modified (GO-PEG). The average size of the GO flakes was 1-5 µm, the GO-PEG-flakes 569±14 nm, and the amount of PEG covering was ~ 20%. Nanoparticles were used at concentrations of 5; 2.5; 1.25 µg/ml. It has been established that GO-PEG nanoparticles in concentrations of 2.5 and 5 µg/ml suppressed ROS production in the spontaneous LCL test. At the same time, the GO effects showed a visible but a not significant tendency to inhibition of LCL. Similar results were obtained in the stimulated LCL test. However, when analyzing the process kinetics, both GO-PEG and GO decreased the ROS production, but mainly in the first minutes of the test. When analyzing the quenching effect of the LCL reaction in a cell-free system, there was no significant effect of GO and GO-PEG nanoparticles. Thus, the general vector of the obtained effects was associated with the suppression of ROS production. GO-PEG ROS-decreasing effects were more pronounced in comparison with unmodified GO. In general, we have confirmed the antioxidant effects of GO and GO-PEG using the LCL method. We can assume that in addition to the actual antioxidant effect of graphene nanoparticles, ROS production decreases due to the rapid GO uptake and blocking of several intracellular signals that induce an oxidative burst