Classification of two and three dimensional Lie super-bialgebras

Using adjoint representation of Lie superalgebras, we obtain the matrix form of super-Jacobi and mixed super-Jacobi identities of Lie superbialgebras. By direct calculations of these identities, and use of automorphism supergroups of two and three dimensional Lie superalgebras, we obtain and classify all two and three dimensional Lie superbialgebras.Comment: 15 page

3D Printed Zeolite Monoliths for CO₂ Removal

Carbon dioxide (CO2) capture materials comprising one or more 3D-printed zeolite monoliths for the capture and or removal of CO2 from air or gases in enclosed compartments, including gases or mixtures of gases having less than about 5% CO2. Methods for preparing 3D-printed zeolite monoliths useful as CO2 capture materials and filters, as well as methods of removing CO2 from a gas or mixture of gases in an enclosed compartment using 3D-printed zeolite monoliths are provided

Intracranial physiological calcifications in adults on computed tomography in Tabriz, Iran

Intracranial physiological calcifications are unaccompanied by any evidence of disease and have no demonstrable pathological cause. They are often due to calcium and sometimes iron deposition in the blood vessels of different structures of the brain. Computed tomography (CT) is the most sensitive means of detection of these calcifications. The aim of this study was the assessment of intracranial physiological calcifications in adults. We studied 1569 cases ranging in age from 15 to 85 in Tabriz Imam Khomeini Hospital, Iran. These patients had a history of head trauma and their CT scan did not show any evidence of pathological findings. The structures evaluated consisted of (A) the pineal gland, (B) the choroid plexus, (C) the habenula, (D) the basal ganglia, (E) the tentorium cerebelli, sagittal sinus and falx cerebri, (F) vessels and (G) lens and other structures which could be calcified. Of the 1569 subjects, 71.0% had pineal calcification, 66.2% had choroid plexus calcification, 20.1% had habenular calcification, 7.3% had tentorium cerebelli, sagittal sinus or falx cerebri calcifications, 6.6% had vascular calcification, 0.8% had basal ganglia calcification and 0.9% had lens and other non-defined calcifications. In general, the frequency of intracranial physiological calcifications was greater in men than in women. All types of calcification increased at older ages except for lens and other non-defined calcifications. We evaluated all the cranial structures and determined percentages for all types of intracranial physiological calcification. These statistics can be used for comparing physiological and pathological intracranial calcifications. Moreover, these statistics may be of interest from the clinical perspective and are potentially of clinical use

Deep learning-based 3D local feature descriptor from Mercator projections

Point clouds provide rich geometric information about a shape and a deep neural network can be used to learn effective and robust features. In this paper, we propose a novel local feature descriptor, which employs a Siamese network to directly learn robust features from the point clouds. We use a data representation based on the Mercator projection, then we use a Siamese network to map this projection into a 32-dimensional local descriptor. To validate the proposed method, we have compared it with seven state-of-the-art descriptor methods. Experimental results show the superiority of the proposed method compared to existing methods in terms of descriptiveness and robustness against noise and varying mesh resolutions

Risk analysis of the sea desalination plant at the 5th refinery of south pars gas company using Hazop procedures

Developments in designs complexity in the last two decades, has underlined the need for a comprehensive and systematic method capable of identifying and evaluating the process hazards. Amongst various methods presented to date, hazard and operability study (HAZOP) has received a considerable attention in the development of chemical and process industries. In this study, hazards in the desalination unit of a gas refinery in Asaluyeh, south of Iran was evaluated, using the PHA-PRO6 software, for which recommendations were made to avoid potential risks involved. Based on 8-years history of the refinery operation, maintenance records, accidents, safety vulnerabilities of the plant were evaluated. Employing the existing techniques and standards as well as installing appropriate flow control devices could ensure maintaining a normal operating pressure, which will in turn reduce pump stoppage and the unit being less out of service due to water flow shortage. Based on the HAZOP study results expressed here, the start-up procedure was also modified and problems associated with design, several mechanical parts and pipe lines installed were identified and adjusted.Keywords: HAZOP; hazard identity; sea water desalination unit; risk; gas refinery

Post parturient hemoglobinuria in a sheep flock

ΔΕΝ ΥΠΑΡΧΕΙ ΠΕΡΙΛΗΨΗ ΣΤΑ ΕΛΛΗΝΙΚΑThe syndrome of intravascular hemolysis, hemoglobinuria, and anemia has been recognized in post parturient dairy cattle and buffaloes. In this report, the occurrence of post parturient hemoglobinuria in a sheep flock was described. Six ewes were affected and 3 of them were died. The affected animals had lambed 1-2 weeks before. The clinical signs included hemoglobinuria, tachycardia, tachypnea, weakness and recumbency. Serum phosphorus concentrations and PCV values were lower than reference parameters for sheep. Phosphorus supplementation and supportive treatment were recommended. In conclusion, grazing on frozen pasture following phosphorus deficiency could be responsible for the development of post parturient hemoglobinuria in the sheep flock

Gradient expansion, curvature perturbations and magnetized plasmas

The properties of magnetized plasmas are always investigated under the hypothesis that the relativistic inhomogeneities stemming from the fluid sources and from the geometry itself are sufficiently small to allow for a perturbative description prior to photon decoupling. The latter assumption is hereby relaxed and pre-decoupling plasmas are described within a suitable expansion where the inhomogeneities are treated to a given order in the spatial gradients. It is argued that the (general relativistic) gradient expansion shares the same features of the drift approximation, customarily employed in the description of cold plasmas, so that the two schemes are physically complementary in the large-scale limit and for the low-frequency branch of the spectrum of plasma modes. The two-fluid description, as well as the magnetohydrodynamical reduction, are derived and studied in the presence of the spatial gradients of the geometry. Various solutions of the coupled system of evolution equations in the anti-Newtonian regime and in the quasi-isotropic approximation are presented. The relation of this analysis to the so-called separate Universe paradigm is outlined. The evolution of the magnetized curvature perturbations in the nonlinear regime is addressed for the magnetized adiabatic mode in the plasma frame.Comment: 40 pages, no figure

Improving LNMF Performance of Facial Expression Recognition via Significant Parts Extraction using Shapley Value

Nonnegative Matrix Factorization (NMF) algorithms have been utilized in a wide range of real applications. NMF is done by several researchers to its part based representation property especially in the facial expression recognition problem. It decomposes a face image into its essential parts (e.g. nose, lips, etc.) but in all previous attempts, it is neglected that all features achieved by NMF do not need for recognition problem. For example, some facial parts do not have any useful information regarding the facial expression recognition. Addressing this challenge of defining and calculating the contributions of each part, the Shapley value is used. It is applied for identifying the contribution of each feature in the classification problem; then, affects less features are removed. Experiments on the JAFFE dataset and MUG Facial Expression Database as benchmarks of facial expression datasets demonstrate the effectiveness of our approach