In this paper, we determine the fuzzy similarity measure between the ranking of states with respect to best the states for work for women and work in general. We break the states into regions and determine the same fuzzy similarity measures for each region. We find that the fuzzy similarity measures range from high to very high. We develop new fuzzy similaritymeasures to be used in rankings.

Nowadays, power distribution companies are working in a competitive atmosphere. Therefore, a major goal for electricity distribution managers is to provide electrical energy with a high reliability level with considering the economic issues. Reliability-centered maintenance (RCM) is an efficient way of realizing this aim and improving a network’ s maintenance processes. This approach is an operative step to improve the reliability of critical equipment and overall system performance which may reduce the costs of utilities. By using RCM, this paper provides a practical model for maintenance scheduling by considering the economic risk function and budget restrictions based on the cost of preventive maintenance (PM) and value of lost Load (VOLL). In this method, PM schedules are proposed based on failure causes of different network elements. The studied elements include overhead lines, underground cables, and power switches (circuit breaker (CB), manual and remote control switches (RCSs)). Failure cause and average repair time of each element is determined through data mining in geographical information system (GIS) and ENOX. For more realistic modeling and the consideration of the network Loads’ uncertainties, the fuzzy triangular method is used. Due to the inconsistency between the goals of the problem, the non-dominated sorting genetic algorithm (NSGA II) is employed. The results show the effectiveness of the proposed method.

Background and Aim: It is believed that a period of healing, approximately 3-4 months for mandible and 4-6 months for maxilla, are required to ensure osseointegration. Recently, a new method called Immediate Loading of implants have been proposed. This method provides improved stability of the implant by the immediate support of an iterim prosthesis. The aim of this study was to evaluate the success rate of the Immediate Loading single OPILS dental implants.Materials and Methods: Thirty-nine patients, including 26 females and 13 males, at the minimum age of 18 and maximum age of 54 years old, received 48 OPILS dental implants. In this prospective study, all samples were non-smoking, without any systemic disease or psychological problem. In all cases, and acrylic prefabricated crown was placed immediately after implant surgery. The definitive metal-ceramic crown was placed 2.5 months later in mandible and 5.5 months later in maxillae. Lack of pain, pus, implant immobility and less than 1mm bone loss were criteria of success.Results: The oral hygiene of females were better than males, 26 women had plaque index (0) and 11 of them had plaque index (1) where as out of 13 male subjects, 4 had plaque index (0), 6 had plaque index (2) and (3) had plaque index (3). The mean vertical bone loss, on mesial and distal parts, were less than 1mm, with the min. of 0 and max. of 0.4mm and the average of 0.2mm. All implants pass the defined criteria of success.Conclusion: On the basis of this short-term study, in single tooth cases, OPILS implants of Neo-Dent system can be Loaded immediately.

One of the obvious reasons for most disorders in network service provisioning is network path congestion. Congestion avoidance in today's networks is too costly and sometimes impossible. With the introduction of SDN, centralizing the equipment's control plane has become possible. This paper presents an enhanced method named ESV-DBRA to avoid congestion in multi-tenant SDN networks. At first, ESV-DBRA monitors the traffic Load and delay of all network paths for each tenant individually. Then, by merging the parameters obtained from the monitoring, the Service Level Agreements (SLA), and a novel proposed cost function, it calculates the cost of the network paths per tenant. As a result, traffic for each tenant is routed through the path/paths at the lowest possible cost from the tenant's perspective. Next, the bandwidth quotas will be calculated and assigned to the tenants over their optimal routes. Afterward, whenever congestion is likely to occur in a path, ESV-DBRA automatically changes the route or bandwidth of the tenants' traffic related to this path to avoid congestion. Related algorithms are also proposed.Eventually, simulations show that the proposed method effectively increases bandwidth utilization by 10.76%.

The purpose of the present study was to investigate the effect of generative learning teaching based to pattern cognitive Load on the memorization math of 7th grade students of in the academic year of 2021- 2022. The research method is quasi-experimental with pre-test and post-test with four groups: two control group and two experimental groups. The statistical population of the study consisted of all 7th grade male and female students of District 2 of Mashhad city that 112 person sample was selected by single stage cluster sampling method. The subjects in the experimental group involved in generative learning based to cognitive Load in 16 sessions and the control group did not receive any interventions. The research instrument consisted of a 20-questions researcher-made test. To analyze the obtained data, Multivariate analysis of covariance and SPSS version 24 software were used. The results showed that generative learning teaching based to approach cognitive Load have a positive and significant effect on 7th grade students' memorization math. Based on the findings, it can be concluded that one of the effective training on math memorization students is the use of generative learning on the based Load cognitive pattern.

For taking advantage of Mathematical Programming models in determination of cultivation optimum pattern in farms with attention to risk and uncertainly conditions and despite indefinite and indistinct information, new techniques of Fuzzy and Interval Programming can be used.In this research, with the use of Interval Linear Programming technique and with attention to statistics of previous tillage periods (1378-1384), cultivation optimum pattern of farmable crops are being determined under risk condition and with the aid of indistinct data and Interval Logic. The case study in this research is a farm with 85 hectare area and chosen crops are: wheat, barley, corn, sun flower, sugar beet and potato. Results indicate that Interval Programming model recommends cultivation optimum pattern of wheat, barley and potato with attention to risk condition and constraints of production, also with endure more risk, land under cultivation of barley and potato show a decrease and an increase respectively and farmers will earn more profit consequently. The results of Mentioned model as well are nearer to real world conditions.