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Vladimir B. Dorokhov,Anton I. Taranov1,Anna M. Narbut,Dmitry S. Sakharov,Svetlana S. Gruzdeva,Olga N. Tkachenko,Gleb N. Arsen’ev,Ilya S. Blochin,Arcady A. Putilov 대한수면학회 2019 sleep medicine research Vol.10 No.2
Background and Objective Human brain appears to be able to absorb, detect, and respond to low-level extremely low-frequency electromagnetic fields (ELF EMF). Controlled laboratory studies on human sleep under exposure to such fields are scarce. Only sleep-disturbing effects on nighttime sleep were reported for frequencies of 50/60 Hz, while lower frequencies (i.e., below 20 Hz) have not been tested. These frequencies overlap with the frequency range of the electroencephalographic (EEG) signal, and sleep researchers utilized the specific frequency patterns (1–15 Hz) for subdivision of the sleep-wake state continuum into wake and sleep stages. In particular, the deepest sleep stage (N3) is characterized by slow-wave EEG activity (1–4 Hz) and serves as an electrophysiological indicator of sleep restorative function. We examined the effects of exposure to a low-level ELF EMF on sleep architecture in afternoon naps. Methods Ten polysomnographic sleep characteristics obtained during two naps of 23 healthy volunteers, either with or without exposure to a 1 Hz/0.004 μT electromagnetic field, were compared. Results The effect of the 1 Hz/0.004 μT electromagnetic field exposure on amount of stage N3 was not significant despite the overlap of this intervention frequency with the frequency of slow waves. However, the total duration of sleep was significantly increased due to a significant increase of amount of stage N2. Thus, the exposure to an extremely slow (1 Hz) electromagnetic field did not reveal any sleep-disturbing effects. Instead, total duration of sleep increased due to increase of N2 amount. Conclusions A sleep-promoting action of exposure to the low-level 1 Hz electromagnetic field cannot be excluded.
Anton I. Manilov,Aleksey V. Kozinetz,Sergiy V. Litvinenko,Valeriy A. Skryshevsky,Mohammed Al Araimi,Alex Rozhin 한국물리학회 2019 Current Applied Physics Vol.19 No.3
We identified different nano-carbon species such as graphene nanoplatelets, graphite flakes and carbon nanotubes dispersed in N-methyl-2-pyrrolidone using a novel sensor structure based on a “deep” silicon barrier working as a photoelectrical transducer. Each nano-carbon particle has specific signature in both 2D photocurrent distribution and photocurrent dependencies on bias changing surface band-bending. Additionally, all nano-carbon particles have characteristic features in the time-dependent evolution of photocurrent. The obtained results can be explained by the influence of nano-carbon molecules' local electric field on the recombination parameters of defect centers on the silicon surface.
THE CONTRIBUTION OF<i>FERMI</i>-2LAC BLAZARS TO DIFFUSE TEV-PEV NEUTRINO FLUX
Aartsen, M. G.,Abraham, K.,Ackermann, M.,Adams, J.,Aguilar, J. A.,Ahlers, M.,Ahrens, M.,Altmann, D.,Andeen, K.,Anderson, T.,Ansseau, I.,Anton, G.,Archinger, M.,Arguelles, C.,Arlen, T. C.,Auffenberg, J American Astronomical Society 2017 The Astrophysical journal Vol.835 No.1
<P>The recent discovery of a diffuse cosmic neutrino flux extending up to PeV energies raises the question of which astrophysical sources generate this signal. Blazars are one class of extragalactic sources which may produce such high-energy neutrinos. We present a likelihood analysis searching for cumulative neutrino emission from blazars in the 2nd Fermi-LAT AGN catalog (2LAC) using IceCube neutrino data set 2009-12, which was optimized for the detection of individual sources. In contrast to those in previous searches with IceCube, the populations investigated contain up to hundreds of sources, the largest one being the entire blazar sample in the 2LAC catalog. No significant excess is observed, and upper limits for the cumulative flux from these populations are obtained. These constrain the maximum contribution of 2LAC blazars to the observed astrophysical neutrino flux to 27% or less between around 10 TeV and 2 PeV, assuming the equipartition of flavors on Earth and a single power-law spectrum with a spectral index of -2.5. We can still exclude the fact that 2LAC blazars (and their subpopulations) emit more than 50% of the observed neutrinos up to a spectral index as hard as -2.2 in the same energy range. Our result takes into account the fact that the neutrino source count distribution is unknown, and it does not assume strict proportionality of the neutrino flux to the measured 2LAC gamma-ray signal for each source. Additionally, we constrain recent models for neutrino emission by blazars.</P>
Investigations of NanoBud formation
Nasibulin, Albert G.,Anisimov, Anton S.,Pikhitsa, Peter V.,Jiang, Hua,Brown, David P.,Choi, Mansoo,Kauppinen, Esko I. Elsevier 2007 Chemical physics letters Vol.446 No.1
<P><B>Graphical abstract</B></P><P>Schematic presentation of a novel carbon nanomaterial, NanoBud, grown by continuous transportation of a carbon layer from a catalyst particle to a CNT.</P><ce:figure></ce:figure> <P><B>Abstract</B></P><P>The formation of a novel hybrid material, NanoBuds, single-walled carbon nanotubes (CNTs) with covalently attached fullerenes was investigated in a ferrocene–carbon monoxide system. Fullerenes and CNTs were simultaneously formed by carbon monoxide disproportionation on the surface of iron particles in the presence of etching agents such as H<SUB>2</SUB>O and CO<SUB>2</SUB>. On the basis of parametric investigations and <I>in situ</I> sampling of the product from different locations in the reactor the mechanisms for NanoBud formation are discussed.</P>
Vladimir I. Pet’kov,Alexander S. Shipilov,Anton S. Dmitrienko,Artemy A. Alekseev 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.57 No.-
MZr2(TO4)x(PO4)3–x (M = Li, Na, K, Rb, Cs; T = As, V) solid solutions, NaFeZr(PO4)2SO4 and Pb2/3FeZr(PO4)7/3(SO4)2/3 with mineral kosnarite structure and KPbMgTi(PO4)3, K5/3MgE4/3(PO4)3 (E = Ti, Zr) with mineral langbeinite structure have been synthesized. According to the yielded results, which encompass thermal expansion data and crystallographic information about the structure of individual compounds and solid solutions, the meaningful selection of compounds with kosnarite and langbeinite structure for novel materials with controllable thermal expansion was carried out. The potassium-, rubidium-, and cesium-containing arsenates, arsenate–phosphates, vanadate–phosphates and Pb2/3FeZr(PO4)7/3(SO4)2/3 are low expansion materials (αav < 2 × 10−6 K−1); sodium–zirconium arsenate and sodium–zirconium and lithium–zirconium arsenate–phosphates, vanadate–phosphates and K5/3MgZr4/3(PO4)3 have intermediate thermal expansion (3 × 10−6 K−1 < αav < 7 × 10−6 K−1); and lithium–zirconium arsenate, KPbMgTi(PO4)3, K5/3MgTi4/3(PO4)3 are the high expansion material (αav > 7 × 10−6 K−1). The present results demonstrate that change of the size of alkali metal cation, anion substitution and varying of solid solution composition can produce kosnarite ceramics with controlled linear thermal expansion coefficients and extremely low thermal expansion anisotropy or langbeinite ceramics with isotropic expansion.
Nurieva, Roza I.,Chung, Yeonseok,Hwang, Daehee,Yang, Xuexian O.,Kang, Hong Soon,Ma, Li,Wang, Yi-hong,Watowich, Stephanie S.,Jetten, Anton M.,Tian, Qiang,Dong, Chen Elsevier 2008 Immunity Vol.29 No.1
<P><B>Summary</B></P><P>After activation, CD4<SUP>+</SUP> helper T (Th) cells differentiate into distinct effector subsets. Although chemokine (C-X-C motif) receptor 5-expressing T follicular helper (Tfh) cells are important in humoral immunity, their developmental regulation is unclear. Here we show that Tfh cells had a distinct gene expression profile and developed in vivo independently of the Th1 or Th2 cell lineages. Tfh cell generation was regulated by ICOS ligand (ICOSL) expressed on B cells and was dependent on interleukin-21 (IL-21), IL-6, and signal transducer and activator of transcription 3 (STAT3). However, unlike Th17 cells, differentiation of Tfh cells did not require transforming growth factor β (TGF-β) or Th17-specific orphan nuclear receptors RORα and RORγ in vivo. Finally, naive T cells activated in vitro in the presence of IL-21 but not TGF-β signaling preferentially acquired Tfh gene expression and promoted germinal-center reactions in vivo. This study thus demonstrates that Tfh is a distinct Th cell lineage.</P>
Podolsky, Maxim D,Barchuk, Anton A,Kuznetcov, Vladimir I,Gusarova, Natalia F,Gaidukov, Vadim S,Tarakanov, Segrey A Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.2
Background: Lung cancer remains one of the most common cancers in the world, both in terms of new cases (about 13% of total per year) and deaths (nearly one cancer death in five), because of the high case fatality. Errors in lung cancer type or malignant growth determination lead to degraded treatment efficacy, because anticancer strategy depends on tumor morphology. Materials and Methods: We have made an attempt to evaluate effectiveness of machine learning algorithms in the task of lung cancer classification based on gene expression levels. We processed four publicly available data sets. The Dana-Farber Cancer Institute data set contains 203 samples and the task was to classify four cancer types and sound tissue samples. With the University of Michigan data set of 96 samples, the task was to execute a binary classification of adenocarcinoma and non-neoplastic tissues. The University of Toronto data set contains 39 samples and the task was to detect recurrence, while with the Brigham and Women's Hospital data set of 181 samples it was to make a binary classification of malignant pleural mesothelioma and adenocarcinoma. We used the k-nearest neighbor algorithm (k=1, k=5, k=10), naive Bayes classifier with assumption of both a normal distribution of attributes and a distribution through histograms, support vector machine and C4.5 decision tree. Effectiveness of machine learning algorithms was evaluated with the Matthews correlation coefficient. Results: The support vector machine method showed best results among data sets from the Dana-Farber Cancer Institute and Brigham and Women's Hospital. All algorithms with the exception of the C4.5 decision tree showed maximum potential effectiveness in the University of Michigan data set. However, the C4.5 decision tree showed best results for the University of Toronto data set. Conclusions: Machine learning algorithms can be used for lung cancer morphology classification and similar tasks based on gene expression level evaluation.
Sensitivity and discovery potential of the proposed nEXO experiment to neutrinoless double- β decay
Albert, J. B.,Anton, G.,Arnquist, I. J.,Badhrees, I.,Barbeau, P.,Beck, D.,Belov, V.,Bourque, F.,Brodsky, J. P.,Brown, E.,Brunner, T.,Burenkov, A.,Cao, G. F.,Cao, L.,Cen, W. R.,Chambers, C.,Charlebois, American Physical Society 2018 Physical Review C Vol.97 No.6
Search for Neutrinoless Double-Beta Decay with the Upgraded EXO-200 Detector
Albert, J. B.,Anton, G.,Badhrees, I.,Barbeau, P. S.,Bayerlein, R.,Beck, D.,Belov, V.,Breidenbach, M.,Brunner, T.,Cao, G. F.,Cen, W. R.,Chambers, C.,Cleveland, B.,Coon, M.,Craycraft, A.,Cree, W.,Daniel American Physical Society 2018 Physical Review Letters Vol.120 No.7
Search for nucleon decays with EXO-200
Albert, J. B.,Anton, G.,Badhrees, I.,Barbeau, P. S.,Bayerlein, R.,Beck, D.,Belov, V.,Breidenbach, M.,Brunner, T.,Cao, G. F.,Cen, W. R.,Chambers, C.,Cleveland, B.,Coon, M.,Craycraft, A.,Cree, W.,Daniel American Physical Society 2018 Physical Review D Vol.97 No.7