فهرست مطالب mahsa bagheri

As a psychopathology, nomophobia, is the consequences of excessive use of smartphones, although its pathological aspects are not yet clear. The present study aimed to identify The profile of psychopathology of university students with different intensities of  nomophobia. The research methodology was descriptive - comparison. A sample of 323 people was selected from among the students of Semnan University based on the cut-off point scores and was placed in three groups of severe, moderate, and mild nomophobia. The instruments included Symptom Checklist-Revised and Nomophobia Questionnaire. Descriptive statistics, multivariate analysis of variance, and Scheffe post hoc tests were used to analyze the data. The results showed that in all 9 symptoms of SCL-90, the average score of people with severe nomophobia was higher than individuals with mild nomophobia. Similar results were obtained in groups with severe and moderate nomophobia, with the exception of two symptoms: somatization and phobia. Considering the psychopathological profile of people with severe nomophobia, it was found that the severity of psychological damage in this group was significantly higher in the symptoms of paranoid thoughts, depression, interpersonal sensitivity, obsession, and psychosis, respectively. The results provide a comprehensive picture of the psychopathologies associated with nomophobia, based on which intervention or research orientations in the field predictor of entitlement rage. With respect to grandiose narcissism regression analysis revealed that antagonism and psychoticism were significant predictor  of grandiose narcissism total score; and with respect to its dimensions, antagonism was significant predictor of exploitativeness; and psychoticism was significant predictor of Self-Sacrificing Self-Enhancement, and also significant predictor of grandiose fantasy. It can be concluded that DSM-5 AMPD relatively corresponds with grandiose and not with vulnerable narcissism.

Due to the rapid development of antibiotic resistance, the strong need for alternative strategies to tackle this problem is inevitable. The objective of this study was to prepare and evaluate the antibacterial effects of a pharmaceutical gel containing herbal extracts including Lawsonia inermis (henna) and Matricaria chamomilla. Using hydroxypropyl methylcellulose (HPMC), carboxymethylcellulose (CMC), and propylene glycol (PEG), the pharmaceutical gel was formulated and the physical properties of the formulation were specified at 37 ± 2°C. The total phenolic content (TPC) of extracts was determined using the Folin–Ciocalteu method and expressed as mg gallaic acid (GA) per gram extract (Ex). The release of the polyphenol compounds from the optimum formulation was investigated using the Franz cell device. Eventually, the disc diffusion method was used to evaluate the antibacterial activity of optimum formulation against the two pathogenic bacteria strains Staphylococcus aureus and Pseudomonas aeruginosa. The results showed that the optimum formulation was stable at least for 3 months. The TPC of the aqueous extract of henna leaves, the hydroalcoholic extract of chamomile flowers, and the optimum formulation was 57.8, 181.08, and 202.75 mg GA/g Ex, respectively. Nearly 80% of the phenolic compounds in the optimum formulation were released over 4 h. The phenolic compounds have inhibitory effects on the growth of S. aureus and P. aeruginosa. On the basis of this finding, the formulation had excellent stability, viscosity, homogeneity, extrudability, and antibacterial activity which can be employed as a topical pharmaceutical gel in cutaneous burn infection treatment.

To embody a collective history of Isfahan through a symbolic and monumental physical space, the recent past (Sabze Meidan) is replaced by a new place named Imam Ali square. This research, emphasizing the political aspect of memory and forgetting\remembering, has approached a critical turning toward the experience of a social group that is ignored in the mentioned project. This study, adopting grounded theory methodology and interview method, explores the lived experience of those local tradesperson in the area who are still working there. The concept of “semantic inversion of the monument”, as the core category in research findings, describes the nature of the monument construction in experience of the studied group.

The current investigation sought to examine the learning and target needs of mechanical engineering (ME) students based on the learners and instructors’ attitudes though an explanatory mixed-method design. To elicit learners’ perceptions of English for Science and Technology (EST), 114 ME undergraduate students and 13 EST instructors from four Iranian state universities took part in a large quantitative phase followed by a smaller qualitative enquiry. The data were gathered from two sets of questionnaires, semi-structured oral interviews, and focus group discussions. Descriptive statistics including mean and standard deviation as well as qualitative interpretations were employed for data analysis. Quantitative and qualitative results revealed that ME learners and instructors had comparatively diverse opinions about leaning and target needs of EST students. They agreed that reading skills were the most essential EST learning and target needs. Learners supported the essentialness and prominence order of speaking, listening, and writing skills; while instructors stated that writing, listening and speaking were the most significant language skills after reading. Such an inconsistency was also witnessed for the inevitability and importance of the target needs of mechanical engineering students among the learners’ and instructors’ perceptions. The findings of this study can aid EST learners, instructors, and curriculum developers to better cope with teaching and learning concerns in EST courses.

Selegiline hydrochloride (Sel) is a drug applied for the therapy of early‐step Parkinson's disease. In usual clinical doses, it is an elective irreversible MAO-B inhibitor. This study intended to formulate mucoadhesive microspheres of selegiline with the objective of improving the therapeutic efficacy, patient compliance and bioavailability.
The microspheres were prepared by emulsion solvent evaporation method (O1/ O2) using hydroxypropyl methylcellulose (HPMC). In the current study, bucco‐adhesive microspheres were prepared with different drug to polymer ratios and characterized by encapsulation efficiency, particle size, Differential Scanning Calorimetry (DSC), FTIR Fourier Transform Infrared Spectroscopy (FTIR), flowability, the degree of swelling and surface pH, mucoadhesive character, retentive time, and drug release studies.
The best drug to polymer ratio in microspheres was 1:2 (as F1). The production yield microspheres F1 showed production yield of 84.79%, mean particle size of 744.73 μm and loading efficiency of 53.33%. The DSC exhibited the property of selegiline loaded microspheres changed to amorphous form. The FTIR spectrum proposed that the drug kept its chemical stability during the emulsification process. The results showed that the microspheres of F1 had faster release than the microspheres of F2 (1:4), F3 (1:6), and commercial tablet (p The formulations were found to be appropriate candidates for the improvement of microspheres for the remedial objects.

Independent component analysis (ICA) has been used for detecting and removing the eye artifactsconventionally. However, in this research, it was used not only for detecting the eye artifacts, but also fordetecting the brain-produced signals of two conceptual danger and information category words. In thiscross-sectional research, electroencephalography (EEG) signals were recorded using Micromed and 19-channel helmet devices in unipolar mode, wherein Cz electrode was selected as the reference electrode.In the first part of this research, the statistical community test case included four men and four women,who were 25–30 years old. In the designed task, three groups of traffic signs were considered, in whichtwo groups referred to the concept of danger, and the third one referred to the concept of information. Inthe second part, the three volunteers, two men and one woman, who had the best results, were chosenfrom among eight participants. In the second designed task, direction arrows (up, down, left, and right)were used. For the 2/8 volunteers in the rest times, very high-power alpha waves were observed from theback of the head; however, in the thinking times, they were different. According to this result, alphawaves for changing the task from thinking to rest condition took at least 3 s for the two volunteers, and itwas at most 5 s until they went to the absolute rest condition. For the 7/8 volunteers, the danger andinformation signals were well classified; these differences for the 5/8 volunteers were observed in theright hemisphere, and, for the other three volunteers, the differences were observed in the lefthemisphere. For the second task, simulations showed that the best classification accuracies resultedwhen the time window was 2.5 s. In addition, it also showed that the features of the autoregressive (AR)-15 model coefficients were the best choices for extracting the features. For all the states of neuralnetwork except hardlim discriminator function, the classification accuracies were almost the same andnot very different. Linear discriminant analysis (LDA) in comparison with the neural network yieldedhigher classification accuracies. ICA is a suitable algorithm for recognizing of the word’s concept and itsplace in the brain. Achieved results from this experiment were the same compared with the results fromother methods such as functional magnetic resonance imaging and methods based on the brain signals(EEG) in the vowel imagination and covert speech. Herein, the highest classification accuracy wasobtained by extracting the target signal from the output of the ICA and extracting the features ofcoefficients AR model with time interval of 2.5 s. Finally, LDA resulted in the highest classificationaccuracy more than 60%.

The purpose of this research is to design a Brain-Computer Interface to discriminate the brain signals while the brain images four main directions. To be innovative, the subjects have imaged the aimed directions by power of imagination, and for the first time, the ICA algorithm has been used to detect the aimed signal and to eliminate the artifacts.
In this descriptive-ana alytic study, signals are recorded by using a Micromed device and a 19-channel helmet in unipolar mode. The statistical population included three persons in the age range of 25 to 30 and the designed task consisted of 24 slides of four main directions.
Simulations have shown that the best classification accuracy was the outcome of the 2.5-second time windowing and the best choice for extracting features was the AR coefficients of 15 order. There was no significant difference between the classification accuracy of different implementation of the Artificial Neural Network classifier with different number of layers and neurons and different classification functions. In comparison with the Neural Network, the Linear Discriminant Analysis (LDA) showed better classification accuracies.
The results of this research are in accordance with the results of the methods such as FMRI and methods based on the brain signals in vowel imagination. In this research, the best classification accuracy was obtained from the Linear Discriminant Analysis classifier by extracting the target signal from the output of the ICA algorithm and extracting the AR coefficients as feature and the 2.5-second time windowing. The Linear Discriminant Analysis classifier result the best classification accuracies.

In this study، Cannabis plants with different ploidy levels were compared in some growth and biochemical parameters. Tetraploid and mixoploid plants were achieved from previous experiment. Flow cytometry analysis was used to confirm the ploidy level. As a result، root and shoot fresh weight showed a significant increase in tetraploid plants compared to the diploid ones. Chimers showed a significant increase in soluble carbohydrate، reducing sugar، starch and protein content in comparison to diploids and tetraploids. However، tetraploids had higher amount of starch and protein in compare with the diploid plants. On the other hand، cellulose، soluble and reducing sugars content، in tetraploids were lower than diploids. The total protein profiles of plants with different ploidy levels، revealed qualitative and quantitative changes. As a result، ploidy induction in addition to morphological effects has an effect on biochemical traits.

Creating an appropriate and efficient workplace environment is a fundamental part of businesses in the modern world. The proper design of interior spaces and exterior facades in workplaces invigorates the workforce and reduces the risk of depression for them, while also improving the quality of their work and the attraction of customers. Nevertheless, architects tend to design workplace environments solely based on personal taste and emotional preferences. The present study designed a branch of Bank Maskan in Sari, Iran, by using efficient scientific methods and with a focus on the quantitative and qualitative aspects of design. The present study was conducted to design a workplace environment using the Kansei engineering method. It used the facade openings of a branch of Maskan Bank in Sari as its case study and extracted the user's preferences using the Kansei method in order to find physical patterns for designing facade openings based on scientific analysis of the data obtained. The researcher examined the dominant emotional preferences using the Kansei engineering method and had 200 individuals selected from the sample population fill out a questionnaire that was scored using Semantic Differential (SD) and based on a 7-point Likert scale. The data obtained were analyzed in SPSS-16 using a test for mean and the Pearson correlation test. The findings of the present study confirmed the significant relationship between the quantitative (the type of openings) and qualitative (Kansei terms) characteristics of design using the Kansei engineering method and also showed that arched openings, with attributes of religiosity such as “loyal”, “trustworthy” and “moderate” (with correlation values of 0.6, 0.6 and 0.63, in respective order), and rectangular openings with vertical elongation, with attributes of economics and banking such as “stability” (with the correlation value of 0.62), have obtained the highest degree of correlation. Given the positive effects of physical patterns, and as traditional arched openings imply attributes such as religiosity while rectangular openings with vertical elongation imply positive economics and banking attributes, these openings were deemed suitable for designing the facade of the examined branch of Maskan Bank in Sari.

The production of tetraploid plant was studied in Cannabis sativa L. with colchicine at three different concentrations (i. e.، 0. 0، 0. 1 and 0. 2%) for about 24 and 48 h through dropping method. Flow cytometry analyses were used to confirm the ploidy level. Morphologic and anatomic characteristics between tetraploid and diploid control plants were compared. The results showed that 0. 2% colchicine for 24 h had the best effect. The percentage of tetraploid plants and the survival rate were lowered by increasing the treatment time. In addition، the leaf index and height of tetraploid plants exhibited a significant decrease compared to the diploid plants. The size of leaves'' epidermis stomata were larger in tetraploid plant compared to the diploid ones، in spite of their less density of stomata. However، the amount of total chlorophyll and carotenoids were almost the same in both of tetraploid and diploid plants. In addition، some differences were also observed in the cross section of stem of these plants from the descriptive structure point of view. On the whole، the results introduced usage of the stomata parameters as an effective and convenient method for detecting the tetraploid plants; however، the flow cytometry analysis was more effective in assessing the ploidy percentage.

In this paper, analysis the performance of PI, PI-like fuzzy, and parallel fuzzy P fuzzy I controllers for He-Ne lasers frequency stabilization by combination of frequency locking and power balanced methods is presented. He-Ne lasers can be attributed to an unstable system due to the influence of environmental factors on it's frequency. Therefore, the stabilization of He-Ne laser is so important in sensitive applications such as laser interferometers and nanometrology systems. The simulation results of controllers by powerful software MATLAB/SIMULINK-GUI show that parallel fuzzy P fuzzy I controller has better stabilization performance and integrated absolute error (IAE) than others. Also, frequency fluctuations of He-Ne laser is about 2×10-11 by parallel fuzzy P fuzzy I controller.