درخت حوزه‌های تخصصی

In the matter of the formation of the universe, the holy Qur’an mentions various phenomena, each playing a special role in the evolution of the universe. In this article, we describe two celestial phenomena that have been discussed in verses (Q.21:30) and 41:11, and we assess the possibility of matching these two verses with new scientific findings. Our approach in this study is that we first examine the plausible meanings of the verses through lexical, morphological, syntactic and interpretive analysis. Then we propose possible scientific phenomena compatible with achieved meanings of the verse and evaluate their conformity. Results of this study show that the reference of the Qur’an to the two phenomena, i.e., “coalescence and separation of the skies and the earth,” and “the formation of the sky from smoke,” can be compatible with the scientific phenomena of the Big Bang, the formation of the solar system and the formation of the earth and its atmosphere. 

Malware attack is growing day by day in cyberspace. And Wireless Sensor Network (WSN) is also facing a hazardous type of situation due to attack of malware (malicious code, virus, worm etc.). Malwares target sensor nodes easily because, nodes are equipped with limited resources. Hence, security of WSN against malware attack is one of the imperative requisite. Malware spreads in the entire network wirelessly, which initiates from single infectious node and spread in the whole WSN. In this way the complete network comes under the security threat. Therefore, it is mandatory to apply the security technique through which to secure WSN against malware attacks. To secure WSN due to malware attacks a quarantine based model has been proposed. The proposed model consists of various epidemic states namely: Susceptible Carrier - Infectious - Quarantine - Recovered - Susceptible (SCIQRS). The model explained the propagation dynamics of malware in WSN and proposed a technique to prevent its propagation. The technique of quarantine along with recovery is to much effective in prevailing of malware propagation in WSN. For the determination of WSN stability and equilibrium points the expression of basic reproduction number has been obtained. Malware propagation is affected by different network parameters, which has been also discussed. The comparative investigation of proposed model has been carried out with existing model. The proposed model has been substantiated by simulation outcomes

Purpose: The aim of the present study was to identify the causes of social isolation and design a relevant model for high school students. Methodology: This was an applied study in terms of its aim and mixed-method study in terms of its implementation method (qualitative and quantitative). The study population in the qualitative section included documents and resources and educational management experts and, in the quantitative section, 180 female high-school first-year students in Gorgan during the academic year 2019-2020. According to the data saturation principle, the research population in the qualitative part included documents and resources related to social isolation and 10 educational management experts who were selected by purposive sampling. According to Cochran's formula, the study population in the quantitative section included 180 female high-school first-year students who were selected by cluster sampling method. Data were collected by note taking, interviews and a researcher-made questionnaire (39 items), the construct and convergent validity of which were confirmed and its reliability was obtained α=0.96 by Cronbach's alpha method. Data were analyzed by open and axial coding methods, factor analysis and structural equation modeling in MAXQDA software. Findings: The findings of the qualitative section showed that social isolation consists of six components and 40 indicators, including socio-economic anomalies (7 indicators), individual variables (9 indicators), parental role (5 indicators), strengthening social relations (6 indicators), psychological interactions (10 indicators), and family level (3 indicators). The findings of the quantitative section showed that the social isolation model had a good fit and all six components, i.e. socio-economic anomalies, individual variables, parental role, strengthening social relations, psychological interactions and family level had a significant effect on social isolation (P<0.05). Conclusion: According to the results, sociologists can use the social isolation model designed in the present study to reduce social isolation; therefore, it is necessary to pay attention to the role of effective components.