Let G = (V, E) be a simple GRAPH. The domination polynomial of G is the polynomial D (G, x)= Sn i=0 d (G, i) xi, where d(G, i) is the number of dominating sets of G of size i. In this paper, we present some new approaches for computation of domination polynomial of specific GRAPHs.

There are two approaches for simulating memory as well as learning in artificial intelligence; the functionalistic approach and the cognitive approach. The necessary condition to put the second approach into account is to provide a model of brain activity that contains a quite good congruence WITH observational facts such as mistakes and forgotten experiences. Given that human memory has a solid core that includes the components of our identity, our family and our hometown, the major and determinative events of our lives, and the countless repeated and accepted facts of our culture, the more we go to the peripheral spots the data becomes flimsier and more easily exposed to oblivion. It was essential to propose a model in which the topoGRAPHical differences are quite distinguishable. In our proposed model, we have translated this topoGRAPHical situation into quantities, which are attributed to the nodes. The result is an edge-weighted GRAPH WITH mass-based values on the nodes which demonstrates the importance of each atomic proposition, as a truth, for an intelligent being. Furthermore, it dynamically develops and modifies, and in successive phases, it changes the mass of the nodes and weight of the edges depending on gathered inputs from the environment.

Multi-label classification aims at assigning more than one label to each instance. Many real-world multi-label classification tasks are high dimensional, leading to reduced performance of traditional classifiers. Feature selection is a common approach to tackle this issue by choosing prominent features. Multi-label feature selection is an NP-hard approach, and so far, some swarm intelligence-based strategies and have been proposed to find a near optimal solution WITHin a reasonable time. In this paper, a hybrid intelligence algorithm based on the binary algorithm of particle swarm optimization and a novel local search strategy has been proposed to select a set of prominent features. To this aim, features are divided into two categories based on the extension rate and the relationship between the output and the local search strategy to increase the convergence speed. The first group features have more similarity to class and less similarity to other features, and the second is redundant and less relevant features. Accordingly, a local operator is added to the particle swarm optimization algorithm to reduce redundant features and keep relevant ones among each solution. The aim of this operator leads to enhance the convergence speed of the proposed algorithm compared to other algorithms presented in this field. Evaluation of the proposed solution and the proposed statistical test shows that the proposed approach improves different classification criteria of multi-label classification and outperforms other methods in most cases. Also in cases where achieving higher accuracy is more important than time, it is more appropriate to use this method.

We address the throughput maximization problem for downlink transmission in DF-relay-assisted cognitive radio networks (CRNs) based on simultaneous wireless information and power transfer (SWIPT) capability. In this envisioned network, multiple-input multiple-output (MIMO) relay and secondary user (SU) equipment are designed to HANDLE both radio frequency (RF) signal energy harvesting and SWIPT functional tasks. Additionally, the cognitive base station (CBS) communicates WITH the SU only via the MIMO relay. Based on the considered network model, several combined constraints of the main problem complicate the solution. Therefore, in this paper, we apply heuristic guidelines WITHin the convex optimization framework to HANDLE this complexity. First, consider the problem of maximizing throughput on both sides of the relay separately. Second, each side progresses to solve the complex problem optimally by adopting strategies for solving sub-problems. Finally, these optimal solutions are synthesized by proposing a heuristic iterative power allocation algorithm that satisfies the combinatorial constraints WITH short convergence times. The performance of the optimal proposed algorithm (OPA) is evaluated against benchmark algorithms via numerical results on optimality, convergence time, constraints’ compliance, and imperfect channel state information (CSI) on the CBS-PU link.

The Qur'an contains religious values ​​for the advancement of man to happiness. The claim is that Quranic teachings are the basis of religious values; By choosing it better, the method of proving religious beliefs can be extracted. This research tries to extract the method of proving religious beliefs WITH a business approach and by using artistic forms WITH a descriptive and analytical method and WITH a better selection of Quranic teachings. Based on the verses, the process was defined as the introduction to the institutionalization of religious values ​​in the businessman 1- Gaining self-knowledge (knowing the talents, capacities, existential dimensions and position of man in the universe); 2- Gaining monotheistic insight (knowing the origin and your relationship WITH the Creator); 3- Reciprocity is (knowing the destination and drawing the path of happiness in the universe). After the realization of these three stages, the beliefs must be proven through rational and scientific reasoning and penetrate, in this case, the acceptance of good qualities in the businessman will be facilitated.

This paper presents a Transimpedance Amplifier (TIA) for high sensitivity Near Infrared Spectroscopy (NIRS). The proposed TIA is based on the Regulated Cascode (RGC) structure WITH an extra transistor employed to implement additional feed-forward path and achieve higher gain values. The extra transistor senses a partially amplified input signal, available in the conventional circuit, and conveys an additional ac current into the load, which provides a higher gain. In addition, a bandwidth extension method is introduced using a capacitor and resistor, which can improve amplifier’s bandwidth by 40%. The proposed TIA is designed in 0.18µm CMOS technology and achieves a transimpedance gain of 101.9dB WITH a -3dB bandwidth of 91.2 MHz considering 2pF of photodiode capacitance at the TIA input. The input referred noise is 4.4pA/√Hz while dissipating 151µW power.

In this paper, we find the star chromatic number of central GRAPH of complete bipartite GRAPH and corona GRAPH of complete GRAPH WITH path and cycle.

This research endeavors to introduce a novel concept in ethics, namely ethics based on the primacy of existence, drawing upon Aṣālat al-wujūd, the theory of the primacy of existence in ontology. Mullā Sadrā's philosophy, which has three basic tenets—the primacy of existence, substantial motion (Ḥarakat-i Juharī), and gradation in existence (Tashkīk-i wujūd)—is the basis for this doctrine. The primacy of existence holds that quiddity is a mental construct and that existence is fundamental. The writers distinguished between two conceptions of ethics in this regard: one based on existence and the other on quiddity. Human quiddity is fixed and does not grade, hence ethics based on quiddity's primacy will always be fixed and the same for every individual. Moral obligations are universal and shared by all individuals. On the other hand, moral obligations for humans might vary depending on their existential status, according to ethics grounded in the primacy of existence. Moral oughts and ought nots are established by human existential grades in this ethics. This ethical model is flexible and dynamic.

Considering the fact that the words in the intra-religious attitude are considered in two ways, the first is towards jurisprudential words and the second is a rational and conceptual view focusing on their meanings. we have tried to deal WITH one of the most important issues of intra-religious attitude WITH a rational approach by descriptive and analytical method, which is the category of "hermeneutic interpretation" of words, especially the most influential idea of interpretation & that is the view of the "spirit of meaning" of Ghazali. After Ghazali, Ibn Arabi used this theory of Ghazali regarding the development of meaning in creating his new idea, and by re-reading Ghazali's idea WITH a mystical approach, he presented his own theory regarding the expansion of meaning. While accepting the argument of the focal point of the theory of the spirit of meaning, he removes it from the exclusivity to the "linear", and for this purpose, he brought up arguments as well as the Conditions of Hermeneutic Interpretation in this regard. Ibn Arabi's arguments on transversal interpretation include new formulations in the argument, which after him, this theory was favored and accepted by Mulla Sadra, and then it was accepted by his students.