A High-gain, FULLY balanced preamplifier is presented. The proposed structure advantages flipped voltage follower scheme to achieve a compact current conveyor with very low input impedance. The presented current conveyor then is used as a core element to realize a high-gain, gm-enhanced trans-conductance amplifier. The presented amplifier is suitable for application as a preamplifier. The high gain of amplifier makes it very suitable to be configured in a feedback form to deliver a high-precision predefined or programmable amplification gain. The proposed structure draws a very low power of 150nW from a 0.6V supply voltage. The Spectre Post-layout simulations with TSMC 180nm CMOS technology have been performed. The proposed amplifier exhibits an open-loop DC gain of 141.5dB and 3-dB frequency bandwidth of 2.4kHz at 60dB closed-loop configuration. The load capacitance is set to be 5pF. The proposed structure also delivers high CMRR and PSRR values of 148.3dB and 153.7dB, respectively.

In describing Iranian painting, especially with religious and metamaterial subjects, the emphasis is always on introversion, the mysterious world, the mystery and the sacred realm of these works. But, despite the transcendent nature of these paintings, the human aspect and SOCIAL contexts of the formation of these works should not be neglected. Because these paintings, in addition to the mission of expressing the truths of heaven, such a cultural atlas, also reflect the ideological space, historical context, political ideas and SOCIAL contexts of their time and connect the two areas. Accordingly, the main issue in the present study is the study of resurrection-themed miniatures in the Safavid era and the realm of their rule and also their technical and content analysis from different and abandoned aspects. The aim is to identify the Safavid dynasty and to recognize its aesthetic patterns and dominant paradigms through the thematic miniatures of the resurrection. The method of research is descriptive and content analysis with the approach of SOCIAL semiotics of the image, and information is collected through documentary sources and direct observation. The question is how the transition from visual structure to meaning has taken place in the miniatures of the EVENT of the resurrection of the Safavid era? The results of the study showed that the semantic implications of the Qur'anic miniatures of the Safavid era can be found on two levels; first, as a translation of the Qur'anic text and concepts in explicit and implicit layers, and then, through research into the context of the production of works, in order to understand the hidden and indirect SOCIAL meanings. The work of art is always a reflection of the SOCIAL and cultural conditions of its time, and its form and content are the product of attachments to the artist's belief system, and the work belongs to a specific way of thinking or reflects the cultural and ethnic affiliations of the history and land in which it was produced. Applying the theoretical framework of SOCIAL semiotics of image showed that this method is an effective tool in reading and multifaceted analysis of Iranian painting and can address the above issues. This method reveals the formal and textual meanings of the images, the textual layers and the SOCIAL references of the images through formalistic study and syntactic structure of the images, modeling from the sources of their signs, and then cataloging and analyzing the existing explicit and implicit meanings. The finding is due to the dominant discourse influences in this period. In other words, the constant presence of mixed meta-maps and narrative representation in the visual form of all these works and sources of common signs such as vector, information value, framing and visualization of images, resulting from the prevailing discourse space and uniform SOCIAL pattern in this era. Shiite discourse, the most important elements of which was Mahdism and Promise, with the intelligence of its custodians to legitimize the political structure, also infiltrated symbolic systems such as painting to use it as a propaganda tool to advance the diplomatic goals of Safavid rulers. Therefore, by using the tools of SOCIAL semiotics analysis of images and by passing through visual structure, common sources of signs can be found in paintings influenced by the Safavid Qur'an, which proves the establishment of the same pattern in these paintings, and based on their effectiveness can be identified and interpreted from dominant discourse. It also explains that the main motive for creating these paintings depends more on the political spirit of the time than on the doctrinal goals, and in other words, reveals their self-creation; this means that at first glance, images seem to be a tool in the service of religion, but in fact they are a tool for political-propaganda exploitation and legitimation of the institution of power. In matters related to the hereafter, what is primarily discussed is the belief in the issue of resurrection and the principle of resurrection as one of the principles of Islam, but what is evident in the analysis of the context, reference to the SOCIAL context of these images and even the choice of scene is a directional choice to convey the ideological message of text producers. For this reason, we encounter the primacy of the Shiite-oriented vision over the main narrative and the promised metaphorical atmosphere of the resurrection, which is influenced by SOCIAL conditions and discourse conflicts of the first half of the Safavid period. The government was established with the intention of establishing political unity in Iran. The sources of semiotics, syntactic structure, and overall visual presentation in these paintings played a role in highlighting religious goals and political discourses, but the subject and content of concepts, has played a more significant role in motivating the creation and illustration of images in conjunction with the dominant discourse of society.

In the last decade, several convolutional networks have been developed for the semantic segmentation, which have shown excellent performance in recognizing and labeling objects in images. Most of these networks involve large-scale architectures that can detect tens or hundreds of predefined classes. With the exception of FULLY convolutional networks, most applications use architectures that, after convolutional layers, use a common classifier to classify the extracted features. In this paper, the method of converting a network, which as classifier, has two flatten and dense layers (FULLY connected), to a FULLY convolutional network is described. The main advantage of this method is the ability to work on inputs of variable size and produce an output map instead of a number, which is the advantage of FULLY convolutional networks. Newer models of the Deep Learning area generally use training images in which areas of interest are determined by masks, but in the proposed method only labeled images are given to the network. The details of the proposed method are expressed in the form of a new problem of classification of boards with calligraphy of Shekasteh-Nastaliq and Suls, and classification of apple leaf diseases (as two-class problems) and the problem of identifying hand written Persian digits. For this purpose, first a convolutional network with the last FULLY connected layer is designed and trained for square images. Then a new FULLY convolutional model is defined based on the previous model and the weights of the previous model are fed to the new model. The only difference between the two models is in the last layer, but the new model will be able to work on input images of any size. Experimental results show the efficiency of the proposed approach.

The ethical actions are important because of the priority of the mission goal and their close relationship with SOCIAL progress and development. Therefore, the purpose of this research is the identification and SOCIAL analysis of these types of actions among the verses of revelation and it deals with the effect of ethical actions in the production of SOCIAL capital in the process of progress based on religious teachings and answers these questions based on the Quranic teachings. What impact do ethical actions (behavior) have on the formation of SOCIAL progress? How do moral actions generate SOCIAL capital and influence progress (development)? What coordinates, examples and dimensions does this group of actions have? What are the effects and consequences of this group of actions? Those actions that are desirable and progressive in the development of SOCIAL interactions have been SOCIALly studied, analyzed and searched by using the inductive content analysis method. Honesty, trustworthiness and fulfillment of an obligation, altruism (Arabic: إیثار, self-sacrifice), asking forgiveness or istighfār (Arabic: استغفار ʾistiġfār), and forgiving others, kindness, non-violence, chastity and purity, patience and honesty and benevolent actions combined with SOCIAL supervision have been discussed, which lead to sincerity, togetherness, coherence and expansion of SOCIAL interactions and emotional relationships far from hatred and warm and emotional relationships and as a result, it causes the production of SOCIAL capital and its improvement and will lead to the density of actions focused on purpose and excellence that are necessary for progress.

Marketers, especially sports marketers, considering the integration of societies and the rapid development of SOCIAL media, understand the importance of SOCIAL media as a strong marketing tool and use these media to communicate with their customers. Therefore, the aim of this research is to determine the effect of SOCIAL media marketing on the behavior of sport EVENTs fans. This research has been done with a survey method in terms of practical purpose. The statistical population of the present study included teachers and students of physical education who were members of fan pages for teams and sport EVENTs, and for data collection, according to Morgan's table, 384 questionnaires were distributed online among the available samples. The data was collected using the theory of planned behavior questionnaire, whose validity was confirmed by experts and its reliability by Cronbach's alpha method (86 percent). The results of the hypotheses test, using SPSS software, show that the fans' attitude did not have a positive and significant effect on their sport EVENTs behavior. But the positive and significant relationship of enjoyed pleasure, mental norms, perceived behavioral control, with the behavioral intention of fans of a sport EVENTs, based on the use of SOCIAL media marketing, was confirmed.

Transportation problem is a linear programming which considers minimum cost for shipping a product from some origins to other destinations such as from factories to warehouse, or from a warehouse to supermarkets. To solve this problem simplex algorithmis utilized. In real projects costs and the value of supply and demands are fuzzy numbers and it is expected that optimal solutions for determining the value of commodities transported from a source to a destination be obtained as a fuzzy. So the first idea is to present the in the full fuzzy condition and then an algorithmwhich is of importance for solving such a problem. In this article, a new algorithm is suggested for solving FULLY fuzzy transportation problem. This algorithm transforms the FULLY fuzzy transportation problem into a triple-objective problem and then it utilizes a weighted method for solving multi-objective problems and solves the new problem using simplex transportation method. At the end, the suggested method is utilized for the real data.

As can be seen from the definition of extended operations on fuzzy numbers, subtraction and division of fuzzy numbers are not the inverse operations to addition and multiplication. Hence, to solve the fuzzy equations or a fuzzy system of linear equations analytically, we must use methods without using inverse operators. In this paper, a novel method to find the solutions in which 0 is not the inner point of supports, of FULLY fuzzy linear systems (shown as FFLS) is proposed, if they exist by an analytic approach. The system's parameters were splitted into two groups of nonpositive and nonnegative by solving a multi objective linear programming problem, MOLP, and employing an embedding method to transform n×n FFLS to 2n×2 n parametric form linear system and hence, transforming operations on fuzzy numbers to operations on functions. And finally, numerical examples are used to illustrate this approach.