On the Submillimeter Opacity of Protoplanetary Disks

Solid particles with the composition of interstellar dust and power-law size distribution dn/da propto a^{-p} for a 3 lambda and 3 < p < 4 will have submm opacity spectral index beta(lambda) = dln(kappa)/dln(nu) approx (p-3) beta_{ism}, where beta_{ism} approx 1.7 is the opacity spectral index of interstellar dust material in the Rayleigh limit. For the power-law index p approx 3.5 that characterizes interstellar dust, and that appears likely for particles growing by agglomeration in protoplanetary disks, grain growth to sizes a > 3 mm will result in beta(1 mm) < ~1. Grain growth can naturally account for beta approx 1 observed for protoplanetary disks, provided that a_{max} > ~ 3 lambda.Comment: Submitted to ApJ. 17 pages, 6 figure

Diffuse interstellar bands in reflection nebulae

A Monte Carlo code for radiation transport calculations is used to compare the profiles of the lambda lambda 5780 and 6613 Angstrom diffuse interstellar bands in the transmitted and the reflected light of a star embedded within an optically thin dust cloud. In addition, the behavior of polarization across the bands were calculated. The wavelength dependent complex indices of refraction across the bands were derived from the embedded cavity model. In view of the existence of different families of diffuse interstellar bands the question of other parameters of influence is addressed in short

Endothelial dysfunction in patients after COVID-19

Relevance: Over the past two years, the COVID-19 infection has gained unprecedented relevance at the global level. All countries are spending significant resources in the fight against COVID-19 [1 2]. The purpose of the work is to clarify the issue of the state of the kidneys in the distant post-covid period (after 2-3 months), we conducted a study of the kidneys simultaneously with the desquamation of the endothelium, as one of the probable mechanisms of the nephrotic effect of the COVID-19 virus. Materials and methods: 29 people participated in the study. Patients with post-covid syndrome (n=10) were treated on an outpatient basis at the "KNP "Center of primary medical and sanitary (medical and sanitary) care No. 3, Odesa" of the Odesa City Council" in the period from 2020 to 2021. The control group consisted of patients without cardiovascular and endocrine disorders, comparable in terms of gender and age, who were examined in 2018 at the Odesa Regional Clinical Medical Center of the Odesa Regional Council. Endothelial dysfunction "ED" was determined by the intensity of desquamation of the endothelium according to the method of J. Hladovec as modified by M.M. Petryschev. and other. (2001).           Statistical analysis was performed using Status software [https://status-please.herokuapp.com/]. Mean values ​​(M) and its standard deviation (SD) were used to describe quantitative data, and percentages were used for qualitative data. For comparison, data were presented as M and standard error of the mean (SEM). Analysis of normality was performed using the Shapiro-Wilk test. Levene's test was used to assess homogeneity of variances. Differences between groups were determined using Student's t-test and one-way analysis of variance (ANOVA). The relationship and presence of correlation between the studied parameters was determined using the Pearson correlation coefficient (r). The correlation coefficient in the range of 0.5≤|r|&lt;1 indicated a strong correlation relationship, 0.3≤|r|&lt;0.5 – a relationship of medium strength, 0&lt;|r|&lt;0.3 – on a weak correlation. Statistical significance was established only at the level of p &lt; 0.05. Results: 17 men and 12 women aged from 32 to 80 years who suffered from a disease of moderate severity participated in the study. The average age of the group of patients with post-covid syndrome (n=9) is 55.9±14.47 years, the average age of the control group (n=20) is 55.95±14.47 years. There were no complaints from the urinary system in the examined patients. According to blood serum tests, it was established that the creatinine level among patients with post-covid syndrome was on average 113±11.91 μmol/l, the urea level was 8.11±1.2 mmol/l, the GFR level was 55.06±12, 19 ml/min/1.73. m2. In the control group, the numbers were as follows: creatinine level was 73.2±8.5 μmol/l, mean urea level was 4.61 mmol/l, GFR was 94.78±13.76 ml/min/1.73 m2. Conclusions: 2-3 months after the transfer of COVID-19, the examined patients show signs of chronic kidney disease. After a disease with COVID-19, an increase in CEC is detected, which is a manifestation of endothelial dysfunction

Calculating Cross Sections of Composite Interstellar Grains

Interstellar grains may be composite collections of particles of distinct materials, including voids, agglomerated together. We determine the various optical cross sections of such composite grains, given the optical properties of each constituent, using an approximate model of the composite grain. We assume it consists of many concentric spherical layers of the various materials, each with a specified volume fraction. In such a case the usual Mie theory can be generalized and the extinction, scattering, and other cross sections determined exactly. We find that the ordering of the materials in the layering makes some difference to the derived cross sections, but averaging over the various permutations of the order of the materials provides rapid convergence as the number of shells (each of which is filled by all of the materials proportionately to their volume fractions) is increased. Three shells, each with one layer of a particular constituent material, give a very satisfactory estimate of the average cross section produced by larger numbers of shells. We give the formulae for the Rayleigh limit (small size parameter) for multi-layered spheres and use it to propose an ``Effective Medium Theory'' (EMT), in which an average optical constant is taken to represent the ensemble of materials. Multi-layered models are used to compare the accuracies of several EMTs already in the literature.Comment: 29 pages, 6 figures, accepted for publication in the Astrophysical Journal (part 1, scheduled in Vol. 526, #1, Nov. 20

Silicon nanoparticles and interstellar extinction

To examine a recently proposed hypothesis that silicon nanoparticles are the source of extended red emission (ERE) in the interstellar medium, we performed a detailed modeling of the mean Galactic extinction in the presence of silicon nanoparticles. For this goal we used the appropriate optical constants of nanosized Si, essentially different from those of bulk Si due to quantum confinement. It was found that a dust mixture of silicon nanoparticles, bare graphite grains, silicate core-organic refractory mantle grains and three-layer silicate-water ice-organic refractory grains works well in explaining the extinction and, in addition, results in the acceptable fractions of UV/visible photons absorbed by silicon nanoparticles: 0.071-0.081. Since these fractions barely agree with the fraction of UV/visible photons needed to excite the observed ERE, we conclude that the intrinsic photon conversion efficiency of the photoluminescence by silicon nanoparticles must be near 100%, if they are the source of the ERE.Comment: Latex2e, uses emulateapj.sty (included), multicol.sty, epsf.sty, 6 pages, 3 figures (8 Postscript files), accepted for publication in ApJ Letters, complete Postscript file is also available at http://physics.technion.ac.il/~zubko/eb.html#SNP

Recent Results of Solid-State Spectroscopy

Solid state spectroscopy continues to be an important source of information on the mineralogical composition and physical properties of dust grains both in space and on planetary surfaces. With only a few exceptions, artificially produced or natural terrestrial analog materials, rather than 'real' cosmic dust grains, are the subject of solid state astrophysics. The Jena laboratory has provided a large number of data sets characterizing the UV, optical and infrared properties of such cosmic dust analogs. The present paper highlights recent developments and results achieved in this context, focussing on 'non-standard conditions' such as very low temperatures, very high temperatures and very long wavelengths.Comment: 15 pages, 10 figures. Contribution to an IAU Conference "The Molecular Universe" held in Toledo in June 201

The 10 micron amorphous silicate feature of fractal aggregates and compact particles with complex shapes

We model the 10 micron absorption spectra of nonspherical particles composed of amorphous silicate. We consider two classes of particles, compact ones and fractal aggregates composed of homogeneous spheres. For the compact particles we consider Gaussian random spheres with various degrees of non-sphericity. For the fractal aggregates we compute the absorption spectra for various fractal dimensions. The 10 micron spectra are computed for ensembles of these particles in random orientation using the well-known Discrete Dipole Approximation. We compare our results to spectra obtained when using volume equivalent homogeneous spheres and to those computed using a porous sphere approximation. We conclude that, in general, nonspherical particles show a spectral signature that is similar to that of homogeneous spheres with a smaller material volume. This effect is overestimated when approximating the particles by porous spheres with the same volume filling fraction. For aggregates with fractal dimensions typically predicted for cosmic dust, we show that the spectral signature characteristic of very small homogeneous spheres (with a volume equivalent radius r_V<0.5 micron) can be detected even in very large particles. We conclude that particle sizes are underestimated when using homogeneous spheres to model the emission spectra of astronomical sources. In contrast, the particle sizes are severely overestimated when using equivalent porous spheres to fit observations of 10 micron silicate emission.Comment: Accepted for publication in A&

Infrared extinction by homogeneous particle aggregates of SiC, FeO and SiO2: comparison of different theoretical approaches

Particle shape and aggregation have a strong influence on the spectral profiles of infrared phonon bands of solid dust grains. Calculating these effects is difficult due to the often extreme refractive index values in these bands. In this paper, we use the Discrete Dipole Approximation (DDA) and the T-matrix method to compute the absorption band profiles for simple clusters of touching spherical grains. We invest reasonable amounts of computation time in order to reach high dipole grid resolutions and take high multi-polar orders into account, respectively. The infrared phonon bands of three different refractory materials of astrophysical relevance are considered - Silicon Carbide (SiC), Wustite (FeO) and Silicon Dioxide (SiO2). We demonstrate that even though these materials display a range of material properties and therefore different strengths of the surface resonances, a complete convergence is obtained with none of the approaches. For the DDA, we find a strong dependence of the calculated band profiles on the exact dipole distribution within the aggregates, especially in the vicinity of the contact points between their spherical constituents. By applying a recently developed method to separate the material optical constants from the geometrical parameters in the DDA approach, we are able to demonstrate that the most critical material properties are those where the real part of the refractive index is much smaller than unity.Comment: Accepted for publication in the Journal of Quantitative Spectroscopy & Radiative Transfer (JQSRT

New Interstellar Dust Models Consistent with Extinction, Emission, and Abundance Constraints

We present new interstellar dust models which have been derived by simultaneously fitting the far-ultraviolet to near-infrared extinction, the diffuse infrared (IR) emission and, unlike previous models, the elemental abundance constraints on the dust for different interstellar medium abundances, including solar, F and G star, and B star abundances. The fitting problem is a typical ill-posed inversion problem, in which the grain size distribution is the unknown, which we solve by using the method of regularization. The dust model contains various components: PAHs, bare silicate, graphite, and amorphous carbon particles, as well as composite particles containing silicate, organic refractory material, water ice, and voids. The optical properties of these components were calculated using physical optical constants. As a special case, we reproduce the Li & Draine (2001) results, however their model requires an excessive amount of silicon, magnesium, and iron to be locked up in dust: about 50 ppm (atoms per million of H atoms), significantly more than the upper limit imposed by solar abundances of these elements, about 34, 35, and 28 ppm, respectively. A major conclusion of this paper is that there is no unique interstellar dust model that simultaneously fits the observed extinction, diffuse IR emission, and abundances constraints.Comment: 70 pages, 23 figures, accepted for publication in the Astrophysical Journal Supplemen