Advances in Internet, local area network, Intranet and wireless network resulted into a wide range of pervasive computing environment. Many of these environments produce huge amount of data, coming from parallel resources in a continuous fashion. Examples of these environments are web logs, click streams, sensor network, network traffic, stock market data, etc., Storing, querying and analyzing these continuous, fluctuating and voluminous data streams are a challenge in a limited memory and computational power. Researchers realized to develop methods for extraction of patterns from streaming data in order to enhance computational power. This paper reviews the existing studies in development of sensor stream systems, algorithms and frameworks.

To study plants purification capability of Cu and Pb on two cultivars of vetch plant (Vigna Radiata) in contaminated soils and their effects on morphological characteristics, we conducted a completely randomized trial as factorial. Different concentrations of Cu (0, 150, 300, and 400 mg/ Kg of dried soil) and Pb (0,200,400, and 600 mg/ kg of soil) were used.\n After four weeks growth on contaminated soil, parameters such as aerial parts height, roots, fresh and dry weight, as well as intake and aggregation levels of Cu and Pb in aerial parts and roots were measured in both cultivars of Sistan and Gohar.\nAnalysis results indicated that increased levels of Cu and Pb lead to decreased height of aerial parts and roots, and dry and fresh weight of both cultivars. Measuring of metal content showed that with increase in metals concentration in soils, their aggregation into aerial parts will be increased. By applying Cu and Pb at the same time, Cu intake will be increased, so a higher level of Pb leads to increased intake of Cu, but Pb intake was decreased in the presence of Cu. Metal aggregation within aerial parts and roots was not different significantly, indicating metals transferring from roots to aerial parts. Results show that the vetch plant is able to purify soils and intake heavy metals such as Cu and Pb from it.

Abstract:\nIntroduction: this study was conducted in order to investigate the simple and multiple relations of differentiation (emotional reactivity, I position, emotional escape, fusion with others) and marital satisfaction by intention for having marital infidelity (betrayal) in women students in the universities of Ahwaz.\nMaterials and methods: the samples in this test were 200 persons who were selected by accessible sampling method. The samples responded to the questionnaire of differentiation of self (DSI-R), questionnaire of marriage satisfaction (ENRICH) and the questionnaire of sexual issues (RIS). In order to analyze the data, besides descriptive methods (mean and standard deviation) the simple correlation coefficient and multi-stage regression methods were applied. \nConclusion: the results indicated that there is a negative relation between differentiation and its aspects (emotional reactivity, emotional escape, fusion with others) and marriage satisfaction with intention for having marital infidelity (betrayal). However, there is no relation between I position (from aspects of differentiation) with intention for having marital infidelity (betrayal). And 18% of variation for intention for having marital infidelity is explained by variables of emotional escape, fusion with others and marriage satisfaction (α=0.01).

Usurer’s Death Story is one of the realist fictions of Tajik literature in Soviet period and is considered as a Tajik modern prose. Since Tajik works were less paid into attention, present paper tries to analyze Usurer’s Death Story by Sadriddin Aĭnī. Initially, a summary of the story is presented and then structure, narrative and angle of the story as well as the corresponding literary attributes will be studied.

This research investigating the entrepreneurial orientation (EO)–performance by offering organizational ‎learning ability (OLA) and innovation performance. We use structural equation modeling to test the hypotheses ‎on a data set from Sanandaj and Kermanshah ceramic tile producers. In our research, we have found OLA and ‎innovation performance playing a mediating role in the EO–firm performance relationship. Results suggest that ‎EO improve OLA and innovation performance, which in turn improve firm performance. Innovation ‎performance performs as a mediating variable between EO and firm performance. Our findings make an ‎important contribution to the recent extension of the EO–firm performance research stream focusing on the ‎intermediate links between EO and firm performance. In this paper, we also suggest that the relationship ‎between EO and innovation performance cannot studied ‎as a direct relationship, but it is also conditional or ‎dependent on OLA, the organizational factors that facilitate the organizational learning process. EO is a ‎managerial attitude that must be support by certain organizational conditions that facilitate learning and have ‎positive implications for performance. The results support our conceptual model and shows its utility in ‎illustrating differences in intra-industry firm performance.‎

In this paper we introduce the notion of left derivations of incline algebras, and we prove some results on left derivations of an incline and integral incline. Also, we defi…ne the fi…xed set of left derivations on incline and we show that it is a subincline and the fi…xed set of left derivations on incline is an ideal, principal ideal and model.

Wireless Sensor Networks (WSNs) have many potential applications and unique challenges. Some problems of WSNs are: severe resources\' constraints, low reliability and fault tolerant, low throughput, low scalability, low Quality of Service (QoS) and insecure operational environments. One significant solution against mentioned problems is hierarchical and clustering-based multipath routing. But, existent algorithms have many weaknesses such as: high overhead, security vulnerabilities, address-centric, low-scalability, permanent usage of optimal paths and severe resources\' consumption. As a result, this paper is proposed an energy-aware, congestion-aware, location-based, data-centric, scalable, hierarchical and clustering-based multipath routing algorithm based on VIKOR technique for homogenous WSNs. Finally, performance of the proposed algorithm has been compared with performance of LEACH routing algorithm; results of simulations and statistical-mathematical analysis are showing the proposed algorithm has been improved in terms of parameters like balanced resources\' consumption such as energy and bandwidth, throughput, reliability and fault tolerant, accuracy, QoS such as average rate of packet delivery and WSNs\' lifetime.