Edge currents as a probe of the strongly spin-polarized topological noncentrosymmetric superconductors

Recently the influence of antisymmetric spin-orbit coupling has been studied in novel topological superconductors such as half-Heuslers and artificial hetero-structures. We investigate the effect of Rashba and/or Dresselhaus spin-orbit couplings on the band structure and topological properties of a two-dimensional noncentrosymetric superconductor. For this goal, the topological helical edge modes are analyzed for different spin-orbit couplings as well as for several superconducting pairing symmetries. To explore the transport properties, we examine the response of the spin-polarized edge states to an exchange field in a superconductor-ferromagnet heterostructure. The broken chiral symmetry causes the uni-directional currents at opposite edges.Comment: 10 pages, 7 figure

Application of mathematical and machine learning models to predict differential pressure of autonomous downhole inflow control devices

Controlling reservoir fluid flow is important for maximizing petroleum production through wellbores. A major challenge that reduces the production of oil is early breakthrough of secondary fluids to the wellbore perforations. This occurs due to the low viscosity of gas and water relative to oil, and the heterogeneity of reservoir permeability. Autonomous inflow control devices represent a new self-regulating technology that helps to increase petroleum production, particularly oil, by restricting the production of unwanted fluids like gas and water into the wellbores. This study develops smart systems based on machine learning models to predict the performance of autonomous inflow control devices. Several machine learning models are evaluated including adaptive neuro fuzzy inference system, hybrid adaptive neuro-fuzzy inference system genetic algorithm, artificial neural network and support vector machine and their prediction performance is compared to that of linear regression, full quadratic regression model and the mathematical autonomous inflow control device performance model. Each model is developed to estimate the differential pressure of Equiflow autonomous inflow control devices based on ninety experimentally recorded data records. The range of equiflow autonomous inflow control device, viscosity, density and flow rate are the input variables and differential pressure is the output dependent variable of each model. The prediction accuracy of the models is assessed in terms of several standard statistical accuracy performance measures. These performance indicators confirm that the machine-learning models provide superior prediction accuracy for autonomous inflow control device differential pressure. Overall, the support vector machine achieves the most accurate predictions of all the models evaluated recording root mean square error of 0.14 Mpa and coefficient of determination of 0.98. On the other hand, the linear regression model records the lowest prediction performance, highlighting the non-linearity of the autonomous inflow control device processes.publishedVersio

Removal of RR198 dye by TiO2/Fe3O4/persulfate nanoparticles under UV-LED irradiation and comparision of OFAT and CCD experimental design in RSM modelling

The photocatalytic activity of TiO2/Fe3O4 nanocomposite has been determined. The XRD spectrum and FESEM analysis have been used to evaluate TiO2 / Fe3O4 nanoparticles. The photocatalytic activity of nanoparticles is assessed by degradation of the RR198 solution under the influence of UV-LED radiation. Response Surface Methodology (RSM) is employed to determine the relationships between the studied parameters. The experiments were designed and performed in two ways: One-factor-at-a-time method (OFAT) and Central composite design (CCD). Here nanoparticles with synergistic effect of S2O82- were very successful in eliminating the dye. The results of the RSM model with the two mentioned experiment design methods indicated that the model derived from the CCD method had a better predictive capability and favoured from the ability to generalize to other results rather than OFAT method

Fuel Switching Impacts of the Industry Sector under the Clean Development Mechanism: A General Equilibrium Analysis of Iran

The importance of international cooperation in reducing the Green House Gas (GHG) has been widely recognized. The primary tool for involving developing countries in carbon reduction without hindering their development is the clean development mechanism. In order to simulate numerically the impact of the Iran clean energy development of the industrial sector under the CDM, a computable general equilibrium (CGE) model is used. The numerical simulations reveal the growth potential and sustainable development benefits that represent the CDM for Iran, though the environmental impact in terms of carbon emission of sectors appears broadly mixed. Based on results some sectors benefit from these clean investment flows -including industry- other sectors show carbon emission increases, but the overall emission of the economy decrease and results in lower environmental costs in green GDP. Keywords: Clean Development Mechanism, Computable General Equilibrium, Industry Sector, Iran. JEL Classifications: D58, O13, Q56

The Relationship between Classroom Psychosocial Climate and Academic Achievement Based on the Views of Students and Faculty Members

Background & Objective: The psychosocial climate of the classroom is a general concept for describing, explaining, and exposing the specific features of a class and has significant effects on students' academic achievement. This study was conducted for the first time in Iran. It was performed to evaluate the relationship between the psychosocial climate of the classroom and academic achievement based on the views of faculty members and Ph.D. students of Kerman University of Medical Sciences, Iran. Methods: The present study was performed using the census method. It was conducted on 222 medicine, dentistry, and pharmacology students and 21 faculty members of Kerman University of Medical Sciences in 2013 using the psychosocial climate of class questionnaire. Data were collected at the end of the second trimester when students received their academic records. Data were analyzed using SPSS software, independent and paired t-test, ANOVA, central and diffusion indicators, and the Pierson correlation. Results: Comparison of faculty members’ expectation score (31.80 ± 4.77) and perception score (29.20 ± 4.60) showed a significant difference (P < 0.050). Based on ANOVA results, faculty members’ expectation level was higher than their perception. Comparison of the score of students’ expectation from (29.03 ± 4.37) and perception of (24.433 ± 5.10) the classroom climate showed a significant difference. Expectation level was higher than perception level (P < 0.001). There is a negative correlation between students' average level and their perception level (P = 0.042). Conclusion: The data indicated that there is a significant relationship between students’ and faculty members’ level of expectation and perception of psychosocial climate of the classroom. The identification and development of conceptual models, particularly an experimental model of academic performance based on cognitive features, can be helpful in the improvement of the psychosocial climate of the classroom which results in students’ academic achievement. Key Words: Psychosocial climate of classroom, Academic achievement, Students, Faculty member

A Study of Life Skill Components in Clients Referred to Health and Counseling Centers

Background: Life skills include a set of abilities to increase the power of adaptability and positive behavior. The objective of this study was to determine the distribution of ten life skill components and their related factors among individuals referring to veterans' health and counseling centers in the city of Tehran. Methods: A cross-sectional study was conducted among participants over the age of 20. The sample size was estimated based on the Morgan table and Cochran sampling formula. The present study utilized the shortened life skills scale including 10 subscales.&nbsp; Data were analyzed using statistical t-test, Pearson correlation, and one-way analysis of variance. Results: The total mean of life skills was significantly higher among women (P value=0.01). Age had a significant direct correlation with total life skills (r=0.19). There were significant differences between the three educational levels in 8 out of 10 components. The decision-making power had a significant correlation with "problem solving" and "creative thinking". "Critical thinking" had a high correlation with "effective communication", "coping with stress" and "attracting social support". "Coping with emotion" had a direct and high correlation with "coping with stress" and "self-awareness" but its correlation was reversed with "creative thinking". Conclusions: The mean score of life skills among clients of veteran`s health and counseling centers was slightly higher than the average population; while the rate of enjoyment of life skills was different in this subpopulation. The results implicate an urgent need to improve life skills, especially for highly educated people. Keywords:&nbsp; Life skills, Veterans, Cross-sectional study, Iran

Selection of Optimal Well Trajectory Using Multi-Objective Genetic Algorithm and TOPSIS Method

This study presents a novel approach for optimizing well paths in extended reach drilling (ERD) wells. Different trajectories can be used for ERD wells, each with its pros and cons. Previous research overlooked certain objective functions in single-objective optimization and lacked an autonomous method for selecting the best solution from Pareto optimal solutions in multi-objective optimizations. Furthermore, they lacked comparing different profiles in well design. Risk assessment and operational factors, which greatly influence optimization and drilling success, were insufficiently considered. This study utilized the multi-objective genetic algorithm (MOGA) and the technique for order preference by similarity to an ideal solution (TOPSIS) method to select the optimal well path based on torque, wellbore length, risk (e.g., keyseat), and required tools. First, all possible trajectories were determined, and MOGA identified the optimal path with minimal torque and length. The fuzzy decision-making method automatically selected the best solution from the Pareto optimal solution set. The associated risks and required tools are evaluated for each trajectory. Finally, the TOPSIS method selected the optimal trajectory based on torque, length, risks, and required tools. The case study demonstrated that the undersection path was the most advantageous trajectory for ERD wells, with a 60% closeness to the ideal state. The multiple build trajectory achieved 57% closeness, while the build and hold and double build paths had lower closeness values (43 and 28%, respectively). Consequently, it can be inferred that in the context of ERD wells, it is preferable to carry out the deviation process at deeper depths

Oursins toxasteridés du genre Heteraster dans le Crétacé inférieur du haut bassin du Zagros, Sud de l'Iran

Two species of spatangoid echinoid belonging to Heteraster Orbigny, 1853, are described from Lower Cretaceous deposits (Gadvan and Dariyan formations) at the Kuh-e Gadvan and Banesh sections situated in Zagros Mountains, south of Iran. Heteraster couloni (Agassiz, 1839) is confirmed in the Barremian and Heteraster delgadoi (Loriol, 1884) in the late Aptian-Albian of Iran. The occurrences of Heteraster and other spatangoid echinoids in Iran show a clear distinction between assemblages from the southern and northern margins of the Tethys during the Early Cretaceous.Deux espèces de spatangues attribuées au genre Heteraster Orbigny, 1853, sont décrites à partir de spécimens collectés dans les séries du Crétacé inférieur (formations de Gadvan et de Dariyan) des localités de Kuh-e Gadvan et Banesh, dans les montagnes du Zagros, au sud de l'Iran. La présence d'Heteraster couloni (Agassiz, 1839) est confirmée dans le Barrémien et Heteraster delgadoi (Loriol, 1884) est reconnu pour la première fois dans l'Aptien supérieur/Albien d'Iran. Les occurrences d'Heteraster et d'autres spatangues en Iran permettent de distinguer clairement des associations d'espèces typiques des marges sud et nord de la Téthys au cours du Crétacé inférieur

A Study of Life Skill Components in Clients Referred to Health and Counseling Centers

Background: Life skills include a set of abilities to increase the power of adaptability and positive behavior. The objective of this study was to determine the distribution of ten life skill components and their related factors among individuals referring to veterans' health and counseling centers in the city of Tehran. Methods: A cross-sectional study was conducted among participants over the age of 20. The sample size was estimated based on the Morgan table and Cochran sampling formula. The present study utilized the shortened life skills scale including 10 subscales.&nbsp; Data were analyzed using statistical t-test, Pearson correlation, and one-way analysis of variance. Results: The total mean of life skills was significantly higher among women (P value=0.01). Age had a significant direct correlation with total life skills (r=0.19). There were significant differences between the three educational levels in 8 out of 10 components. The decision-making power had a significant correlation with "problem solving" and "creative thinking". "Critical thinking" had a high correlation with "effective communication", "coping with stress" and "attracting social support". "Coping with emotion" had a direct and high correlation with "coping with stress" and "self-awareness" but its correlation was reversed with "creative thinking". Conclusions: The mean score of life skills among clients of veteran`s health and counseling centers was slightly higher than the average population; while the rate of enjoyment of life skills was different in this subpopulation. The results implicate an urgent need to improve life skills, especially for highly educated people. Keywords:&nbsp; Life skills, Veterans, Cross-sectional study, Iran

Rising the persian gulf black-lip pearl oyster to the species level: fragmented habitat and chaotic genetic patchiness in Pinctada persica

Marine organisms with long pelagic larval stages are expected to exhibit low genetic differentiation due to their potential to disperse over large distances. Growing body of evidence, however, suggests that marine populations can differentiate over small spatial scales. Here we focused on black-lip pearl oysters from the Persian Gulf that are thought to belong to the Pinctada margaritifera complex given their morphological affinities. This species complex includes seven lineages that show a wide distribution ranging from the Persian Gulf (Pinctada margaritifera persica) and Indian Ocean (P. m. zanzibarensis) to the French Polynesia (P. m. cumingii) and Hawai'i (P. m. galtsoffi). Despite the long pelagic larval phase of P. m. persica, this lineage is absent from continental locations and can only be found on a few islands of the Persian Gulf. Mitochondrial COI-based analyses indicated that P. m. persica belongs to a clearly divergent ESU and groups with specimens from Mauritius (P. m. zanzibarensis). Microsatellite data, used here to assess the spatial scale of realized dispersal of Persian Gulf black-lip pearl oysters, revealed significant genetic structure among islands distant of only a few dozen kilometres. The scantiness of suitable habitats most likely restricted the distribution of this lineage originating the observed chaotic genetic patchiness. The hatchery-based enhancement performed in one of the sampled islands may also have affected population genetic structure. The long-term accumulation of genetic differences likely resulted from the allopatric divergence between P. m. persica and the neighbouring Indian Ocean black-lip pearl oysters