Basic life support (BLS) following by Advanced cardiac life support (ACLS) is intended to rescue the patients with acute circulatory or respiratory failure or both. The most important determinant of short and long-term neurologically intact survival is the interval from the onset of the cardiac or respiratory onset to restoration of effective spontaneous functions of these vital activities.It is commonly accepted that every physician, regardless of specialty, should be able to  perform CPR. It must be also emphasized that CPR, almost invariably, necessitates a rapid interventional follow-care with ACLS procedure.Without well-performed basic life support, advanced cardiac life support is of no remark-: able benefit, BLS and ACLS are processes that must be performed step by step and with respect to the patient's condition.

The article focuses on the relevance of the implementation of information and analytical support mechanisms in the activities of local state administrations. Information resources and information processes in general become the main prerequisites for the effectiveness of public administration and local governments. This requires public authorities to implement systems and structures of information and analytical support of government activities, new forms and technologies of information use, new technologies for its collection, processing and analysis, creation and interaction of information databases. Theoretical bases of functioning of information and analytical maintenance mechanisms of local administrations activity are substantiated; practical offers concerning the improvement of processes of their formation and functioning in system of public administration are generalized and developed.

Identifying the constraining factors of production and yield gap is very important. Therefore; this research was performed to identify the production constraining factors of local rice cultivars. All management practices from nursery preparation to harvesting stages for 100 paddy fields of local rice cultivars were recorded through field studies, in Sari, from 2015-2016. In the CPA, the actual and calculated potential yield were 4495 and 5703 kg/ha, respectively and the gap was 1221 kg/ha. The yield gap caused by number of top-dressing variables was 324 kg/ha, equal to 27% of the total yield gap. The yield gap related to previous year of legumes cultivation was 218 kg ha-1, equal to 18% of the total yield variation. Among the 10 variables entered in the CPA model, the effects of top-dress fertilizer application and its application frequency and foliar application were remarkable, which could compensate a significant part of the yield gap (444 kg/ha, 37% of total) in the farmers’ fields by managing these variables. According to boundary line analysis (BLA) finding, actual yield mean on the basis of optimal limit related to 12 variables under study was 5369 kg/ha, with 881 kg/ha yield gap . Mean relative yield and relative yield gap for 12 variables (transplanting date, seedling age, number of seedlings per hill, planting density, nitrogen and phosphorous per hectare, nitrogen before transplanting, harvesting date, lodging problem, pest problem, diseases problem and weeds problem) were 83.64 and 16.35 kg/ha, respectively. Based on the finding, it can be stated that the model precision is appropriate and can be applied for both estimation of the quantity of yield gap and determining the portion of each restricting yield variables.

The central issue of the present paper is the study of the causes of the mother tongue decline in the Sahne city in Kermanshah province. The issue of language is beyond the dialect of people and is refer to the form of life and the matter of macroeconomic and political relations. From this perspective, the form of life and the language associated with it explain the praxis of the members of the society. The appropriate method of examining the problem should be able to analyze the justification of agents to their situation, that is why Grounded Theory is chosen as the method of this research and data analysis is taken from abduction reasoning. The results of the analysis introduced the categories of globalizing, modernizing, de-use of language, economic necessity and the government as the most important factors of local language fading. In this essay the meaning of globalization is the globalizing of special type of economic relation that explain other categories role in the process of fading of languages.

Tourism policies widely affect the lives of local residents. On the other hand, the effectiveness of such policies depends on the local community’s support and participation. Therefore, the present study sought to investigate the influence of the local Community’s Place Image and their perception of tourism impacts on their support for tourism policies in Semnan. To this end, some 340 questionnaires were distributed among local residents, out of which 322 questionnaires were completed by the respondents. The collected data were then analyzed by PLS software using Structural Equation Modeling (SEM). The results indicated that the residents’ place image had a direct significant effect on their perception of tourism impacts and consequently on their support for tourism development policies. Moreover, the findings highlighted the necessity of evaluating tourism impacts based on the perceptions of residents, because the more favorable they consider the tourism impacts, the more support they give to tourism development policies. Finally, this study suggests some policy recommendations on how to manage the local community’s place image, their perceptions of tourism impacts, and their support for tourism policy-making.

Multi-label classification aims at assigning more than one label to each instance. Many real-world multi-label classification tasks are high dimensional, leading to reduced performance of traditional classifiers. Feature selection is a common approach to tackle this issue by choosing prominent features. Multi-label feature selection is an NP-hard approach, and so far, some swarm intelligence-based strategies and have been proposed to find a near optimal solution within a reasonable time. In this paper, a hybrid intelligence algorithm based on the binary algorithm of particle swarm optimization and a novel local search strategy has been proposed to select a set of prominent features. To this aim, features are divided into two categories based on the extension rate and the relationship between the output and the local search strategy to increase the convergence speed. The first group features have more similarity to class and less similarity to other features, and the second is redundant and less relevant features. Accordingly, a local operator is added to the particle swarm optimization algorithm to reduce redundant features and keep relevant ones among each solution. The aim of this operator leads to enhance the convergence speed of the proposed algorithm compared to other algorithms presented in this field. Evaluation of the proposed solution and the proposed statistical test shows that the proposed approach improves different classification criteria of multi-label classification and outperforms other methods in most cases. Also in cases where achieving higher accuracy is more important than time, it is more appropriate to use this method.

Let I, J be ideals of a commutative Noetherian ring R and lett be a non–negative integer. Let M be an R–module such that ExtR t(R/I, M) is a finite R–module. If t is the first integer such that the local cohomology module with respect to (I, J) is non– (I, J) –cofinite, then we show that HomR (R/I, Ht I,J(M)) is finite. Also, we study the finiteness of Ext R i(R/I, HtI,J (M)), for i=1, 2. In addition, for a finite R–module M, we show that the associated primes of HI,J t(M) have an equal grade, when t=inf {i|Hi I, J(M)  ¹0}.