نشریه اکتشاف و پردازش هوشمند دانش
پیاپی 4 (بهار 1401)

In recent years, the performance gap between private sector and public sector has led to the concept of public service motivation has attracted the attention of researchers in public administration. The main objective of this study was to evaluate the impact of public service motivation on improving tax administration of the city of Karaj job performance and organizational citizenship behavior is mediated. The aim of the present study, functional and in terms of performance, descriptive-correlation in the questionnaire used for data collection was said. The study consisted of 400 employees of the tax administration of the city of Karaj, according to Morgan and simple random sampling, 196 samples were selected. The reliability and validity study, Cronbach's alpha, composite reliability and average variance explained was evaluated and confirmed validity of the questionnaire was confirmed by professors and experts in the subject. Conceptual model with partial least square method was performed using Smart PLS software. The results show that the public service motivation on job performance and organizational citizenship behavior has a significant effect on job performance and organizational citizenship behavior has a significant impact in Karaj tax administration. Finally, according to the results of the research hypotheses, proposals to tax administrators was the city of Karaj.

In recent years, the expansion of the Internet network infrastructure, the increase of the Internet penetration rate and the growth of the number of Internet users have caused more and more business owners to pay attention to e-businesses and the growing trend of such businesses. This has created a highly competitive environment that has made it more difficult to gain and maintain market share in cyberspace. In such a situation, increasing customer satisfaction in e-businesses in order to reach their loyalty in order to repeat purchases is one of the key factors to gain and maintain a suitable share of the cyberspace market. This study aims to identify these factors and introduce them to e-business owners, in order to create a platform for targeted activities to improve user satisfaction and which leads to maintaining and increasing the share of e-businesses from the cyberspace market. The research method was meta-synthesis. At first step we determined the research questions and search keywords and then we collected articles related to customer satisfaction factors in e-businesses according to the keyword. After studying and reviewing the selected articles, 14 concepts (unique factors) were identified out of 85 factors obtained from 22 reviewing articles. The results show that the factors: "Product information reliability", "Purchasing process", "Service / Product quality", "Price paid" and "Security and privacy" are the most important factors of e-business customer satisfaction.

The concept of quality of life can be considered as one of the broad concepts whose importance is expanding day by day in many fields of study in various scientific and academic fields. The quality of life is the ability of the environment to provide and respond to the material and spiritual needs of people in society. Every society will enjoy dynamism and vitality when its citizens enjoy sufficient and desirable quality of life. The purpose of this article is to evaluate and measure the indicators of the quality of urban life in Zahedan from the perspective of the students of the National University of Medical Sciences in Zahedan. In this regard, five main indicators have been introduced, which are: physical-spatial, social, cultural, economic and security. The research method is descriptive-analytical and survey. In this research, the total number of the statistical population is 30,000, which was obtained by placing 129 samples for the University of Sistan and Baluchistan and 100 samples for the University of Medical Sciences. The data obtained through the questionnaire was analyzed using spss software, and to obtain the satisfaction of the students (National and Medical Sciences University) with life in Zahedan city, we used the single sample mean test and to obtain We use the Pearson correlation test for the impact of physical indicators and the quality of urban life (due to the large sample size). The results of the research show that the level of satisfaction of students (National and Medical Sciences University) with life in Zahedan city is average. Based on the results obtained from the Pearson correlation test between social, cultural, economic and security indicators and the quality of urban life, we can see that the correlation between these two indicators is 0 and it is acceptable.

The Brain Computer Interface (BCI) System is part of the neural technology that transmits command from the human brain to the computer. BCI is currently one of the fastest growing area of research. BCI programs are applicable in a variety of fields, including medicine, education, self-regulation, games and entertainment, manufacturing, security, and marketing. Electronic devices can be controlled using a brain signal called electroencephalography (EEG) to record the brain's electrical activity. In EEG, the P300 wave is a positive peak of an event-related potential (ERP) that occurs 300 milliseconds recorded by the EEG. A major method of BCI research is hence the specific pattern based on P300, stimuli that are less likely to occur than other stimuli and thus the subject responds to the unexpected occurrence of these stimuli with respect to a series of stimuli. Identify the standard provided quickly. In this paper, machine learning algorithms including DCPM, LDA, SWLDA, SVM and etc, that are used for feature extraction and classification in the design OF P300-spell based BI-PC interface systems (BCI), are reviewed. And after reviewing and comparing the classification methods, we finally have the final summary of our article, which shows the results of the review research, the adaptive classification method for supervised and unsupervised, better performance than the classification it is static.

Given the expansion of competition and the constant changes in the business environment in today's world, it is vital to take appropriate strategic measures to develop new products with good performance. Export is very important as an important strategy to expand the product supply market from limited domestic markets to large external markets. Various factors affect the export performance of new products. Innovation in the production of new products can be an indicator for evaluating the organizational structure and organizational strategy of the organization. The purpose of this study is to investigate the effect of innovation tendency on the quality of production of new products. The present research is descriptive-survey method. Also, the statistical population is the research of Saipa Company employees. Available sampling was used to select the sample group, so that finally 382 samples were collected and analyzed. The tool for measuring research variables is a questionnaire that has validity and validity. Confirmatory factor analysis was used for inferential analysis of the data and structural equation modeling was used to test the hypotheses. The results showed that the tendency to innovation has a significant impact on market-oriented, design and development of innovation resources. Market-oriented is effective on organizational creativity and quality of new products. Design affects organizational creativity and the performance of new products. Organizational creativity has a significant effect on the quality of new products. Also, the development of innovation resources has a significant effect on the quality of new products.

Image segmentation is a basic issue in machine vision. One of the important tasks of machine vision and image processing is to recognize the pattern and one of the most important algorithms is U-Net segmentation. The U-Net algorithm has been identified as a popular algorithm in recent years due to its accurate response, high accuracy, high processing speed and learning, no need for large data sets for learning and no need for complex and expensive hardware. Image components and their fragmentation have become part of medical image processing. In this paper, we explain the U-Net algorithm and its convolutional network, as well as the most appropriate setting for the parameters and super parameters of this algorithm to optimize and achieve maximum accuracy in solving image-processing problems with this algorithm. In other words, a proposed method for segmenting medical images is performed on the DIC-C2DH-HeLa data set, which based on an architecture, the so-called "fully convolutional network", we have modified and expanded this architecture in such a way that with educational images Work very little and provide more segments that are detailed. The results showed that the proposed method has a higher accuracy than the other proposed method.