Background: Independent Component Analysis (ICA) is the most common and standard technique used in functional neuroscience data analysis. Objective: In this study, two of the significant functional brain techniques are introduced as a model for neuroscience data analysis. Material and Methods: In this experimental and analytical study, Electroencephalography (EEG) signal and functional Magnetic Resonance Imaging (fMRI) were analyzed and managed by the developed tool. The introduced package combines Independent Component Analysis (ICA) to recognize significant dimensions of the data in neuroscience. This study combines EEG and fMRI in the same package for analysis and comparison results. Results: The findings of this study indicated the performance of the ICA, which can be dealt with the presented easy-to-use and learn intuitive toolbox. The user can deal with EEG and fMRI data in the same module. Thus, all outputs were analyzed and compared at the same time,the users can then import the neurofunctional datasets easily and select the desired portions of the functional biosignal for further processing using the ICA method. Conclusion: A new toolbox and functional graphical user interface, running in cross-platform MATLAB, was presented and applied to biomedical engineering research centers.

Degradation analysis is one of the most important approaches in evaluating the reliability of multi-component systems. Improving the performance of real systems requires the use of an efficient approach to analyze the degradation considering the interaction of system degradation processes. Literature shows that the degradation analysis of multi-component systems has been investigated by researchers, but based on the best knowledge of the authors, this approach has not been contributed for analyzing degradation processes of a system components. In the case that there is a functional structure between the degradation of one or more components, it refers to as the profile based on the statistical process control literature. The aim of this study is to provide an efficient approach to predict and Assessment the variability of degradation processes under the conditions of stochastic dependence. The proposed approach proposes the possibility of predicting and assessment the variability of degradation processes at the component and system level. In this paper, in order to Assessment the proposed approach, the data set of a multi-component system is used. The analysis of the results shows the proper performance of the proposed approach.

2in the past, the yard in villa houses would allow residents to perform various activities and to communicate with nature. but today lifestyle change and building of apartments such as mehr housing projects such as social isolation, interruption of relation with nature, has been placed on the physical and mental health of the residents. in this case, appropriate design of intermediate spaces in mehr housing projects can replace the yard and open space in the past. the purpose of this paper is to identify intermediate spaces and provide a method for spatial planning using AIDA model to improve the quality of the environment. to achieve this goal, the main question is what factors in the excellence of the environment are effective in the quality of residential environment and what strategies can be used to improve the quality of the environment? in order to answer these questions, the capabilities of intermediate spaces in 10 levels were determined and in the mehr imam reza (peace be upon him ), sadra was evaluated and evaluated. the nature of this research is combination of qualitative and quantitative methods and data collection is done by survey questionnaire. the case study in the residential complex of imam reza, the new town of sadra, has been selected by random sampling and the question has been about 82 residents of this complex. to evaluate the factors, multiple regression and t-test were used. based on the results of the quality and use of AIDA, strategies for improving the quality of the environment were developed. the results obtained from the quality assessment in the selected set indicate the dissatisfaction of important urban use indicators, green space, and security in the neighborhood level, green space, children 's game space, and the accessibility to residential complex and residential and environmental cleanliness at the residential unit level. then, using the technique of decision-making, different scenarios of quality improvement were presented. after evaluation, the best scenario with improved security, green space development, intensive development of important land uses, network expansion, development of the quality of housing, creation of environmental cleanliness infrastructure and considering children 's play space were selected.

To investigate the response of corn to combined application of chemical fertilizers with rhizobacteria plant growth promoting, an experiment was conducted in 2017 at Research farm of Agricultural and Natural Resources Campus of Tehran University, Karaj, Iran, in a randomized complete block design with four replications. Four nutritional treatments including T1 (Control treatment without applying fertilizer), T2 (Just PGPRs), T3 (Use chemical fertilizers based on soil test) and T4 (T3 + PGPRs) were considered. According to the results, the highest total dry weight (3.9 kg/m2), crop growth rate (79.8 g.m-2.day-1), net assimilation rate (15.3 g.m-2.day-1) and grain yield (18.2 ton.ha-1) were observed in T4 treatment and T2 treatment produced the highest  leaf area index (5.3), leaf area duration (205.2) and specific leaf weight (78.5 g.m-2) . Also, the lowest value of all traits was observed in in T1 (control) treatment. The results showed that the presence of rhizobacteria plant growth promotioninduction in the corn nutrition program increased the growth and growth indices of the plant. Combined application of chemical fertilizers with rhizobacteria plant growth promoting resulted in the highest growth and final grain yield of corn.