3D Spectroscopy of Blue Compact Galaxies. Diagnostic Diagrams

Here we present the analysis of 3D spectroscopic data of three Blue Compact Galaxies (Mrk324, Mrk370, and IIIZw102). Each of the more than 22500 spectra obtained for each galaxy has been fitted by a single gaussian from which we have inferred the velocity dispersion (sigma), the peak intensity (Ipeak), and the central wavelength (lambda_c). The analysis shows that the sigma vs Ipeak diagrams look remarkably similar to those obtained for giant extragalactic HII regions. They all present a supersonic narrow horizontal band that extends across all the range of intensities and that result from the massive nuclear star-forming regions of every galaxy. The sigma vs Ipeak diagrams present also several inclined bands of lower intensity and an even larger sigma, arising from the large galactic volumes that surround the main central emitting knots. Here we also show that the sigma vs lambda_c and lambda_c vs Ipeak diagrams, are powerful tools able to unveil the presence of high and low mass stellar clusters, and thus allow for the possibility of inferring the star formation activity of distant galaxies, even if these are not spatially resolved.Comment: 15 pages, 3 figures, accepted for publication in The Astronomical Journa

Time- and frequency-domain polariton interference

We present experimental observations of interference between an atomic spin coherence and an optical field in a {\Lambda}-type gradient echo memory. The interference is mediated by a strong classical field that couples a weak probe field to the atomic coherence through a resonant Raman transition. Interference can be observed between a prepared spin coherence and another propagating optical field, or between multiple {\Lambda} transitions driving a single spin coherence. In principle, the interference in each scheme can yield a near unity visibility.Comment: 11 pages, 5 figure

Dynamic Adaptation on Non-Stationary Visual Domains

Domain adaptation aims to learn models on a supervised source domain that perform well on an unsupervised target. Prior work has examined domain adaptation in the context of stationary domain shifts, i.e. static data sets. However, with large-scale or dynamic data sources, data from a defined domain is not usually available all at once. For instance, in a streaming data scenario, dataset statistics effectively become a function of time. We introduce a framework for adaptation over non-stationary distribution shifts applicable to large-scale and streaming data scenarios. The model is adapted sequentially over incoming unsupervised streaming data batches. This enables improvements over several batches without the need for any additionally annotated data. To demonstrate the effectiveness of our proposed framework, we modify associative domain adaptation to work well on source and target data batches with unequal class distributions. We apply our method to several adaptation benchmark datasets for classification and show improved classifier accuracy not only for the currently adapted batch, but also when applied on future stream batches. Furthermore, we show the applicability of our associative learning modifications to semantic segmentation, where we achieve competitive results

ПОСТРОЕНИЕ ПРОТОТИПА АВТОМАТИЗИРОВАННОЙ БЕСПРОВОДНОЙ СИСТЕМЫ МОНИТОРИНГА ЗАПЫЛЕННОСТИ ВОЗДУХА НА ПРОИЗВОДСТВЕННЫХ ПЛОЩАДКАХ

Various studies over the past decades have shown that fine dust particles can pose serious health hazards, contributing to the development of respiratory and cardiovascular diseases. Potential links have been identified between the likelihood of occurrence of diseases such as chronic obstructive pulmonary disease (COPD), asthma, lung cancer, with the concentration of dust in the air. There are correlation data showing that an increase in the MPC of dust in the air by only 50 μg / m3 leads to an increase in mortality by 1-8%. Dust particles have a significant impact on the life of plants and animals. Many industrial, experimental and medical processes can be safely carried out only at certain values ​​of the concentration of dust particles in the air: for example, dust consisting of solid particles less than 850 microns in size, suspended or settled in a gas environment, is capable of self-combustion and explosion in the air. Such dust is classified as combustible dust and, at certain concentrations, can cause industrial accidents associated with explosions of dust / air mixtures. The creation of an automated system capable of controlling the dustiness of the air in various production facilities is an urgent task. This work is devoted to the creation of such a system that combines the required number of dust sensors connected to each other in a wireless network, which makes it possible to control the measurement process and record the measurement results of each specific sensor.Разнообразные исследования последних десятилетий показали, что мелкие пылевые частицы могут представлять серьезную опасностью для здоровья, способствуя развитию  респираторных и сердечно-cосудистых заболеваний. Выявлены потенциальные связи между вероятностью возникновения таких заболеваний, как хроническая обструктивная болезнь легких (ХОБЛ), астма, рак легких, с концентрацией пыли в воздухе. Есть корреляционные данные, свидетельствующие о том, что при увеличении ПДК пыли в воздухе всего лишь на 50 мкг / м3, приводит к увеличению смертности на 1-8 %. Твердые пылевые частицы оказывают существенное влияние на жизнь растений и животных. Многие промышленные, экспериментальные и медицинские процессы могут быть безопасно осуществлены только при определённых значениях концентрации пылевых частиц в воздухе: например, пыль, состоящая из твердых частиц  размером менее 850 мкм, находящихся во взвешенном или осевшем состоянии в газовой среде, способна к самостоятельному горению и взрыву в воздухе. Такая пыль классифицируется как горючая пыль и, при определенных концентрациях, может стать причиной несчастных случаев на производствах, связанных со взрывами пылевоздушных смесей. Создание автоматизированной системы, способной контролировать запылённость воздуха в различных производственных помещениях является актуальной задачей. Данная работа посвящена созданию подобной системы, объединяющей в себя необходимое количество датчиков пыли, связанных между собой в беспроводную сеть, позволяющую управлять процессом измерения и фиксированием результатов измерения  каждого конкретного датчика

Phase partition of gaseous hexane and surface hydrophobicity of Fusarium solani when grown in liquid and solid media with hexanol and hexane

The filamentous fungus, Fusarium solani, was grown in liquid and solid culture with glucose, glycerol, 1-hexanol and n-hexane. The partition coefficient with gaseous hexane (HPC) in the biomass was lower when grown in liquid medium with 1-hexanol (0.4) than with glycerol (0.8) or glucose (1) The HPC for surface growth were 0.2 for 1-hexanol, 0.5 for glycerol, 0.6 for glucose, and 0.2 for F. solani biomass obtained from a biofilter fed with gaseous n-hexane. These values show a 200-fold increase in n-hexane solubility when compared to water (HPC = 42). Lower HPC values can be partially explained by increased lipid accumulation with 1-hexanol, 10.5% (w/w) than with glycerol (8.5% w/w) or glucose (7.1% w/w). The diameter of the hyphae diminished from 3 μm to 2 μm when F. solani was grown on solid media with gaseous n-hexane thereby doubling the surface area for gaseous substrate exchange. The surface hydrophobicity of the mycelia increased consistently with more hydrophobic substrates and the contact angle of a drop of water on the mycelial mat was 113° when grown on n-hexane as compared to 75° with glucose. The fungus thus adapts to hydrophobic conditions and these changes may explain the higher uptake of gaseous hydrophobic substances by fungi in biofilters

Nature of nuclear rings in unbarred galaxies: NGC 7742 and NGC 7217

We have studied the unbarred Sb galaxy with a nuclear star-forming ring, NGC 7742, by means of 2D spectroscopy, long-slit spectroscopy, and imaging, and have compared the results with the properties of another galaxy of this type, NGC 7217, which is studied by us earlier. Both galaxies have many peculiar features in common: each has two global exponential stellar disks with different scalelengths, each possesses a circumnuclear inclined gaseous disk with a radius of 300 pc, and each has a global counterrotating subsystem, gaseous one in NGC 7742 and stellar one in NGC 7217. We suggest that past minor merger is the probable cause of all these peculiarities, including appearance of the nuclear star-forming rings without global bars; the rings might be produced as resonance features by tidally induced oval distortions of the global stellar disks.Comment: Accepted to AJ, 11 PS/EPS figures (5 figures were added in color

ANALYSIS OF THE COMPETITIVE ADVANTAGE SUSTAINABILITY FACTORS BASED ON THE KEY COMPETENCIES OF AN ELECTRICAL ENGINEERING ENTERPRISE

The factors influencing the possibility of the theory of key competencies adaptation within the traditional ideas of the resource approach to ensure the long-term competitiveness of companies have been considered. For this purpose, the review of features of application of key competencies during the formation of strategies of the industrial companies of mature sectors of industries has been carried out, in which thanks to action of evolutionary mechanisms of technological and organizational development there are objective preconditions for creation of steady competitive advantages on their basis. The necessity of development of methodological approaches to the formation of company’s competitive strategy in the sector of electrical production based on the formation of organizational-economic mechanism of adaptation to external influences and internal changes to manage the development of key competencies as factors of sustainable competitive advantage in the future and the formation of long-term effective business development model of the enterprise, has been substantiated