Study on moving direction and survival index of Persian sturgeon (Acipenser persicus) fingerlings using mark-recapture method in Caspian Sea (Guilan province coasts)

To study moving direction and survival index of Persian sturgeon fingerlings, a total of 390200 individuals of the fish in three weight classes: less than 3g, 3 to 5g and 6 to10g were marked by coded wire tags (CWT) during 2003 to 2008. In 2003, 101500 of these individuals were marked in Shahid Beheshti, Shahid Rajaee and Shahid Marjani Sturgeon Rearing Centers, in north of Iran and then released in Sephidrud, Tajan and Gorganrud rivers. During 2004 to 2008, 288700 pieces were marked by Shahid Beheshti Rearing Centers and released in Sephidrud River. Catch and detection of fingerlings carried out by gill net prepared from nylon with mesh sizes 22, 26, 33 (2 filaments for each mesh) and one 40mm mesh size. Totally, 175 meters of net was used to study fishes in waters under 10m depth in Guilan province. In all, 2827 pieces of this fish were caught of which 40 had CWT and these belonged to weight classes 6-10g (22 pieces), 3-5g (17 pieces) and under 3g (one piece). Results on release and catch of the fingerlings for Sephirud River showed that more than 70% of fingerlings moved to eastern parts of the estuary and eastern coasts of Guilan province (stations like 12 Bahman, Dastak and Chaboksar). Of the fingerlings released in Gorganrud and Tajan rivers, only one piece was caught in Chaboksar and another in Lisar after 15 months. Hence, we postulated that the fingerlings released in Mazandaran and Golestan provices migrated to Guilan province coasts. Statistical analysis of the survival index in different weight classes indicated that the class 6-10g had higher survival rate, twice than class 3-5g and 20 times more than that of the class under 3g. Considering these results, probably the higher weight at release time can be effective in increasing the survival rate of the Persian sturgeon fingerlings

Fast and scalable inference of multi-sample cancer lineages.

Somatic variants can be used as lineage markers for the phylogenetic reconstruction of cancer evolution. Since somatic phylogenetics is complicated by sample heterogeneity, novel specialized tree-building methods are required for cancer phylogeny reconstruction. We present LICHeE (Lineage Inference for Cancer Heterogeneity and Evolution), a novel method that automates the phylogenetic inference of cancer progression from multiple somatic samples. LICHeE uses variant allele frequencies of somatic single nucleotide variants obtained by deep sequencing to reconstruct multi-sample cell lineage trees and infer the subclonal composition of the samples. LICHeE is open source and available at http://viq854.github.io/lichee

All-optical switching using a new photonic crystal directional coupler

In this paper all-optical switching in a new photonic crystal directional coupler is performed.  The structure of the switch consists of a directional coupler and a separate path for a control signal called “control waveguide”. In contrast to the former reported structures in which the directional couplers are made by removing a row of rods entirely, the directional coupler in our optical switch is constructed by two reduced-radius line-defect waveguides separated by the control waveguide. Furthermore, in our case the background material has the nonlinear Kerr property. Therefore, in the structure of this work, no frequency overlap occurs between the control waveguide mode and the directional coupler modes. It is shown that such a condition provides a very good isolation between the control and the probe signals at the output ports. In the control waveguide, nonlinear Kerr effect causes the required refractive index change by the presence of a high power control (pump) signal. Even and odd modes of the coupler are investigated by applying the distribution of the refractive index change in the nonlinear region of a super-cell so that a switching length of about 94 µm is obtained at the wavelength of 1.55 µm. Finally, all-optical switching of the 1.55 µm probe signal using a control signal at the wavelength of 1.3 µm, is simulated through the finite-difference time-domain method, where both signals are desirable in optical communication systems. A very high extinction ratio of 67 dB is achieved and the temporal characteristics of the switch are demonstrated

Methyl Mercury Induced Changes in the Serum Proteins of Bluegills – Lepomis Macrochirus (Teleostei)

Author Institution: Department of Biological Sciences, Kent State UniversityThere were qualitative and quantitative changes in the serum proteins of bluegills, Lepomis macrochirus, exposed to 8.728 X 10~4 ppb (W/V) of methyl mercury (MeHg) for 24, 48, and 72 hr. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) of serum proteins revealed significant changes in the qualitative and quantitative profiles at 24 and 48 hr. However, at 72 hr a trend to return to control levels was noted. The data suggest that at the dose tested, MeHg produced repairable lesions in certain tissues or organs of bluegills

Using generative adversarial networks for extraction of insar signals from large-scale Sentinel-1 interferograms by improving tropospheric noise correction

Spatiotemporal variations of pressure, temperature, water vapour content in the atmosphere lead to significant delays in interferometric synthetic aperture radar (InSAR) measurements of deformations in the ground. One of the key challenges in increasing the accuracy of ground deformation measurements using InSAR is to produce robust estimates of the tropospheric delay. Tropospheric models like ERA-Interim can be used to estimate the total tropospheric delay in interferograms in remote areas. The problem with using ERA-Interim model for interferogram correction is that after the tropospheric correction, there are still some residuals left in the interferograms, which can be mainly attributed to turbulent troposphere. In this study, we propose a Generative Adversarial Network (GAN) based approach to mitigate the phase delay caused by troposphere. In this method, we implement a noise to noise model, where the network is trained only with the interferograms corrupted by tropospheric noise. We applied the technique over 116 large scale 800 km long interfergrams formed from Sentinel-1 acquisitions covering a period from 25th October, 2014 to 2nd November, 2017 from descending track numbered 108 over Iran. Our approach reduces the root mean square of the phase values of the interferogram 64% compared to those of the original interferogram and by 55% in comparison to the corresponding ERA-Interim corrected version

Identifying factors affecting destination choice of medical tourists: a systematic review of literature

Objective: Overseas travels in which improved health is the main component, “medical tourism”, has emerged as a new source of competitive advantage all over the world. The present study seeks to identify the factors that affect destination choice of medical tourists.Methods: We systematically searched relevant databases including Pub Med, Embase, Science Direct, Web of Science and Medline databases using terms “medical tourism” OR “health tourism”.Studies were identified and screened in accordance with the preferred Reporting Items for Systematic and Meta-Analyses (PRISMA) published in English or Farsi, determining factors that develop  country’s ability to become a preferred destination for outbound patients seeking healthcare services in foreign countries.Results: The search retrieved (1374) citation of which 18 studies were eligible.Across the eligible articles, 13 overarching themes including 75 that encourage medical tourists to choose a specific destination sub-themesemerged.Conclusions: Results of this study offer evidence for a comprehensive approach to strategic outreach and market expansion for medical tourism decision makers for attracting more medical tourists to their countries.Keywords: Medical tourism, health tourism, attractive factors, destination choic

Structural characterization and electrochemical behavior of transition metal carbonates

III Encuentro sobre Nanociencia y Nanotecnología de Investigadores y Tecnólogos Andaluce

Prevalence of chronic kidney disease and its associated risk factors: The first report from Iran using both microalbuminuria and urine sediment

Background: The incidence of major risk factors of chronic kidney disease (CKD) in the world is on the rise, and it is expected that this incidence and prevalence, particularly in developing countries, will continue to increase. Using data on urinary sediment and microalbuminuria, we aimed to estimate the prevalence of CKD in northeast Iran. Methods: In a cross-sectional study, the prevalence of CKD in a sample of 1557 regionally representative people, aged � 18 years, was analyzed. CKD was determined based on glomerular filtration rate (GFR) and microalbuminuria. Life style data, urine and blood samples were collected. Urine samples without any proteinuria in the initial dipstick test were checked for qualitative microalbuminuria. If the latter was positive, quantitative microalbuminuria was evaluated. Results: 1557 subjects with a mean age of 56.76 ± 12.04 years were enrolled in this study. Based on the modifcation of diet in renal disease (MDRD) equation, 137 subjects (8.89%) were categorized as CKD stages III-V. Based on urine abnormalities, the prevalence of combined CKD stages I and II was 10.63%, and based on macro- and microalbuminuria it was 14.53%. The prevalence of CKD was significantly associated with sex, age, marital status, education, diabetes mellitus (DM), hypertension (HTN), ischemic heart disease (IHD), waist to hip ratio, myocardial infarction (MI), and cerebrovascular accident (CVA). Conclusion: CKD and its main risk factors are common and represent a definite health threat in this region of Iran. Using and standardizing less expensive screening tests in low resource countries could be a good alternative that may improve the outcome through early detection of CKD