Investigation of H2S and CO2 Removal from Gas Streams Using Hollow Fiber Membrane Gas–liquid Contactors

Chemical absorption of H2S and CO2 from CH4 was carried out in a polypropylene porous asymmetric hollow fiber membrane contactor (HFMC). A 0.5 mol L–1 aqueous solution of methyldiethanolamine (MDEA) was used as chemical absorbent solution. Effects of gas flow rate, liquid flow rate, H2S concentration and CO2 concentration on the H2S outlet concentrations and CO2 removal percentage were investigated. The results showed that the removal of H2S with aqueous solution of MDEA was very high and indicated almost total removal of H2S. Experimental results also indicated that the membrane contactor was very efficient in the removal of trace H2S at high gas/liquid flow ratio. The removal of H2S was almost complete with a recovery of more than 96 %. Using feed gas mixtures containing 5000 ppm H2S with CO2 concentrations in the range of 4–12 vol.%, the outlet H2S concentration of less than 1.0 ppm was attained with less than 4.0 vol.% of CO2 permeated and absorbed. This work is licensed under a Creative Commons Attribution 4.0 International License

Einstein-Born-Infeld on Taub-NUT Spacetime in 2k+2 Dimensions

We wish to construct solutions of Taub-NUT spacetime in Einstein-Born-Infeld gravity in even dimensions. Since Born-Infeld theory is a nonlinear electrodynamics theory, in leads to nonlinear differential equations. However a proper analytical solution was not obtain, we try to solve it numerically (by the Runge-Kotta method) with initial conditions coinciding with those of our previous work in Einstein-Maxwell gravity. We solve equations for 4, 6 and 8 dimensions and do data fitting by the least-squares method. For N=l=b=1, the metric turns to the NUT solution only in 8 dimensions, but in 4 and 6 dimensions the spacetime does not have any Nut solution.Comment: 8 pages, 5 figure

Analysis of Blood Transfusion Data Using Bivariate Zero-Inflated Poisson Model: A Bayesian Approach

Recognizing the factors affecting the number of blood donation and blood deferral has a major impact on blood transfusion. There is a positive correlation between the variables "number of blood donation" and "number of blood deferral": as the number of return for donation increases, so does the number of blood deferral. On the other hand, due to the fact that many donors never return to donate, there is an extra zero frequency for both of the above-mentioned variables. In this study, in order to apply the correlation and to explain the frequency of the excessive zero, the bivariate zero-inflated Poisson regression model was used for joint modeling of the number of blood donation and number of blood deferral. The data was analyzed using the Bayesian approach applying noninformative priors at the presence and absence of covariates. Estimating the parameters of the model, that is, correlation, zero-inflation parameter, and regression coefficients, was done through MCMC simulation. Eventually double-Poisson model, bivariate Poisson model, and bivariate zero-inflated Poisson model were fitted on the data and were compared using the deviance information criteria (DIC). The results showed that the bivariate zero-inflated Poisson regression model fitted the data better than the other models. © 2016 Tayeb Mohammadi et al

Generalized Permutohedra from Probabilistic Graphical Models

A graphical model encodes conditional independence relations via the Markov properties. For an undirected graph these conditional independence relations can be represented by a simple polytope known as the graph associahedron, which can be constructed as a Minkowski sum of standard simplices. There is an analogous polytope for conditional independence relations coming from a regular Gaussian model, and it can be defined using multiinformation or relative entropy. For directed acyclic graphical models and also for mixed graphical models containing undirected, directed and bidirected edges, we give a construction of this polytope, up to equivalence of normal fans, as a Minkowski sum of matroid polytopes. Finally, we apply this geometric insight to construct a new ordering-based search algorithm for causal inference via directed acyclic graphical models.Comment: Appendix B is expanded. Final version to appear in SIAM J. Discrete Mat

Tracking of Hepatopancreatic parvo-like virus (HPV) disease in Litopenaeus vannamei of the hatcheries in the Bushehr Province

Presence of hepatopancreatic parvo-like vines (HPV) disease was assessed from June until October 2009 in Litopenaeus vannamei hatcheries and grow-out farms of the Bushehr province. Samples were collected from 6 hatcheries and 6 grow-out farms located in coasted areas. From each hatchery, 100 PL samples with average age PL5-PL8 and 20-30 samples from each grow-out farm with average age 105 to 120 days were collected. The samples were divided into three groups one used for gross sign and wet mount with Gimsa, the second group was preserved in Davidson Fixative and used for histopathology and the third group was fixed in ethyl alcohol 95% and used for polymerase chain Reaction (PCR). In gross sign 30%- 40% of the shrimp showed different sizes and some were smaller than the others. In the wet mount group with Gimsa staining of hepatopancrease, the inclusion body with basophilic color was seen. The histopathology indicated that the hepatopancreatic cell was infected and the basophilic inclusion body observed in many samples. The PCR examined with IQ 2000 Kit was negative. The rate of infection (ROI) was 1.1% for hatcheries and 32% for grow-out farms

Disseminated strongyloidiasis in a patient with membranoproliferative glomerulonephritis- case report

Strongyloides stercoralis (SS) is a unique nematode with an auto infective cycle, so that it completes its life cycle within the human host and can live there for many years. In immunocompromised patients, infection can cause Strongyloides hyperinfection syndrome (S.H.S) that is associated with serious morbidity and mortality. As vari-ous infections are one of the leading causes of membranoproliferative glomerulo-nephritis (MPGN), we should consider subclinical strongyloidiasis as a possible underlying disease, especially in endemic areas. Here we describe a case of strongy-loidiasis following immunosuppressive therapy for MPGN, the diagnosis of which was made, only a few hours before death, by stomach biopsy. © 2015, Iran J Parasitol. All rights reserved

Biophysically motivated efficient estimation of the spatially isotropic R*2 component from a single gradient‐recalled echo measurement

Purpose To propose and validate an efficient method, based on a biophysically motivated signal model, for removing the orientation‐dependent part of R*2 using a single gradient‐recalled echo (GRE) measurement. Methods The proposed method utilized a temporal second‐order approximation of the hollow‐cylinder‐fiber model, in which the parameter describing the linear signal decay corresponded to the orientation‐independent part of R*2. The estimated parameters were compared to the classical, mono‐exponential decay model for R*2 in a sample of an ex vivo human optic chiasm (OC). The OC was measured at 16 distinct orientations relative to the external magnetic field using GRE at 7T. To show that the proposed signal model can remove the orientation dependence of R*2, it was compared to the established phenomenological method for separating R*2 into orientation‐dependent and ‐independent parts. Results Using the phenomenological method on the classical signal model, the well‐known separation of R*2 into orientation‐dependent and ‐independent parts was verified. For the proposed model, no significant orientation dependence in the linear signal decay parameter was observed. Conclusions Since the proposed second‐order model features orientation‐dependent and ‐independent components at distinct temporal orders, it can be used to remove the orientation dependence of R*2 using only a single GRE measurement