One-dimensional backreacting holographic superconductors with exponential nonlinear electrodynamics

In this paper, we investigate the effects of nonlinear exponential electrodynamics as well as backreaction on the properties of one-dimensional $s$-wave holographic superconductors. We continue our study both analytically and numerically. In analytical study, we employ the Sturm-Liouville method while in numerical approach we perform the shooting method. We obtain a relation between the critical temperature and chemical potential analytically. Our results show a good agreement between analytical and numerical methods. We observe that the increase in the strength of both nonlinearity and backreaction parameters causes the formation of condensation in the black hole background harder and critical temperature lower. These results are consistent with those obtained for two dimensional $s$-wave holographic superconductors.Comment: 8 pages (two columns), 2 figures (each including 2 subfigures), 3 table

Analysis of the Interaction of Resilience Variables of New Urban Habitations against Earthquake Risk: A Case Study of Isfahan Metropolitan)

IntroductionAmong natural disasters, earthquakes are one of the most important natural disasters that pose a threat to the development of the society. Each year, it causes various physical, social, and economic damage around the world. The consequences of an earthquake, both in terms of recurrence and in terms of the damage it causes, affect society. Because, on the one hand, earthquakes contribute to the lack of security for residents at risk, and on the other hand, they reduce the risk of achieving sustainable development. Therefore, earthquakes, both psychologically and financially, due to the speed of occurrence and the volume of destruction, have devastating effects and are at the forefront of natural disasters. Until the 1980s, the dominant approach to crisis management worldwide was based on reducing vulnerability, but since the 1980s, efforts have been made to change the prevailing crisis management paradigm. Thus, the prevailing view has shifted from focusing solely on reducing vulnerability to increasing disability resilience. In this new paradigm, the shift from reactivity to deterrence and participation has changed. Meanwhile, analyzing the interaction of earthquake resilience variables to identify key factors is one of the issues that should be considered in any society. It is noteworthy that the type of attitude towards the issue of resilience and how it is analyzed, on the one hand, plays a key role in how resilience recognizes the current situation and its causes, and on the other hand, affects policies and measures to reduce risk and how to deal with it. Therefore, analyzing the interaction of resilience variables against earthquakes and reducing their effects according to the results will be of great importance.Keywords: Resilience, Interaction, New Urban Habitations, Earthquake Risk, Isfahan Urban Area.MethodologyDue to the studied components and the nature of the subject, the approach of this research is descriptive-analytical. The interaction analysis method was used to analyze the data. Interaction/structural interaction analysis is a method for analyzing the possible occurrence of an issue in a predicted set. The probabilities of this can be adjusted by judgments about the potential for interaction between the predicted subjects. In this study, using 86 variables in the form of 6 indicators, the interaction of the studied resilience variables in the new urban Habitations of the Isfahan metropolitan was analyzed using MIC Mac software. DiscussionPreliminary analysis of the matrix data indicates that there are a total of 3496 relationships for the matrix. Also, the degree of saturation of the matrix is %63.29, which indicates that the selected factors have a relatively large and scattered effect on each other, and in fact, the system has been in an unstable state. Out of 4791 evaluable relations in this matrix, 2778 relations have zero numbers, which means that the factors have not affected or have not affected each other. Also, the studied matrix was %100 desirable and optimized based on statistical indices with two data rotations. The results of direct matrix data analysis have shown that the variables of geographical confinement diversity, level of awareness about seismicity of the habitation, and population density with scores of 159, 158, and 146, respectively. As the most important influential variables of the severity of the damage, compensation capacity proximity to hazardous areas with 191, 162, and 157 points, respectively, have been identified as the most important variables. In a cross-matrix, the sum of the row numbers of each factor indicates the degree of influence, and the sum of its columns indicates the degree of influence of that factor on other factors. Also, the results of indirect matrix data analysis have shown that the variables of geographical environment diversity, level of knowledge about seismicity in the region, and population density with scores of 1312373, 1272025, and 1200271, respectively, were the most important indirect variables. Severity, damage capacity and compensation capacity, and community-based risk management with scores of 15372702, 1298828, and 1298341, respectively, have been identified as the most important indirectly affected variables. What can be understood from the scattering plane of the variables affecting the resilience of new urban Habitations in the Isfahan metropolitan, the concentration of most variables around the diagonal axis, which indicates the instability of the system under study? ConclusionIn this study, using Mick Mac software, the effective variables on resilience forecasting of new urban Habitations in the Isfahan urban area have been investigated. The results of direct matrix data analysis have shown that the variables of geographical confinement diversity, level of awareness about seismicity of habitat, and population density were the most important influential variables. Severity, compensation capacity, and proximity were the most important risk areas. The analysis of indirect matrix data has also shown that the variables of geographical environment diversity, level of knowledge about seismicity of the region, and population density were the most important indirect variables. The variables of the severity of the damage, and compensation capacity were the most important indirectly affected risk-based risk management variables. EReferences- Ahmad Pour, A., Abdali, Y., Sadeghi, A., & AllahGholi Pour, S. (2018). Analysis of resilience components in the central tissue of Hamedan using Moran spatial autocorrelation. Quarterly Journal of Physical Development Planning, 5(1), 93-106.- Aksha, S. K., & Emrich, C. T. (2020). Benchmarking community disaster resilience in Nepal. International Journal of Environmental Research and Public Health, 17(6), 1-22.- Delavar, M. R., Sadrykia, M., & Zare, M. (2017). A GIS-based fuzzy decision making model for seismic vulnerability assessment in areas with incomplete data. 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Optimal operation and management of multi-microgrids using blockchain technology

This paper tries to address the optimal operation of networked microgrid from the reliability perspective in a correlated atmosphere for the wind generators. The suggested approach performs based on unscented transformation in the form of a nonlinear projection and the heuristic method as the optimizer. The proposed structure is arranged as a complex constraint optimization problem with several targets seeing the varied objectives such as energy not supplied, system interruption frequency, system interruption duration and energy losses. Owing to the interrelated natural surroundings of multi-microgrids, it is a necessity for the microgrids to let the each other access the operation info and with the central unit. In this situation, it is quite wise to provide a secured construction made of the blockchain for the assurance of the reliability and adequate security of data sharing in the microgrids. With the aim of validation of the proposed model, an IEEE standard system is considered and divided into four interrelated microgrids with one side connection to the main grid. The simulation results show the high capability of the proposed framework for enhancing the operation and reliability indices. Moreover, it is seen that almost 0.6% and 0.77% additional cost is imposed to the system in the deterministic framework in the first and second scenarios, respectively. 2021 The Authors. IET Renewable Power Generation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.Scopus2-s2.0-8511166059

Customer relationship management in small and medium sized hotels

Applying some "beneficial technologies" on "Small and Medium Enterprises (SMEs)" will have crucial benefits in the structure of these enterprises. For this paper, Customer Relationship Management (CRM) would be as the technology and SMEs would be the small and medium sized hotels. Among all SMEs, CRM works so well especially in hotels because it helps them to understand their guests, show their appreciation to them, as well as to gather some useful practical data about their customers. These will enable the hotels to present better services to the guests in their next visit.The importance of recognizing the rightway of implementingCRM in small and medium sized hotels should always be considered by enterprises. This paper is about the importance of CRM and its different usages on SME hotels. Moreover, the challenges of SME hotels in implementing CRM will be discussed

Density and Polarization Profiles of Dipolar Hard Ellipsoids Confined between Hard Walls: A Density Functional Theory Approach

The density and polarization profiles of the dipolar hard ellipsoids confined between hard walls are studied using the density functional theory (DFT). The Hyper-Netted Chain (HNC) approximation is used to write excess grand potential of the system with respect to the bulk value. The number density is expanded up to zero and first order in polarization to find the results. For the zero order in polarization, the coupled integral equations for the directional densities are obtained. Then, for the first order in polarization the coupled integral equations for the directional densities and polarization profiles are obtained. To simplify the calculations we use restricted orientation model (ROM) for the orientation of ellipsoids to find the density and polarization profiles. We also apply an electric field and write an expression for the excess grand potential of the system and obtain the coupled integral equations for the density and polarization profiles again. Finally, we calculate the density and polarization profiles for different cases and compare the obtained results