Introduction: Academic faculty members need to emphasize ethical principles in order to improve higher education, with the understanding of this importance, the current research was conducted with the aim of designing the ethical model of academic faculty members in Iran's higher education. Material & Methods: This research is a type of qualitative study that uses foundational data theory. The participants, including experts and faculty members of the country's public universities, who were responsible for the promotion of academic members, were selected as key informants through a targeted sampling method of 45 people. Data were collected through semi-structured interviews. The reliability and validity of the data were obtained from the two methods of reviewing the participants and recoding by experts. Data were analyzed by open, central and selective coding. Results: The results showed that the moral model of faculty members in Iran's higher education is explained in 10 main categories and 27 subcategories. Major and core categories in the form of 6 dimensions of causal conditions including (individual factors, organizational factors), core (cultural-educational, educational ethics, research ethics, scientific-executive), background conditions (higher education policies, moral activism), intervening conditions (environmental factors), strategies (micro level-university, macro level-higher education) and consequences (individual and organizational) were elevated to a higher abstract level and finally the research paradigm model was presented. Conclusion: The regulations for the promotion of academic staff members in Iran require a detailed revision of the content with an ethical and qualitative approach in order to make the indicators of the promotion regulations efficient and effective.

A novel intelligent neural optimizer with two objective functions is designed for electrical Distribution systems. The presented method is faster than alternative optimization methods and is comparable with the most powerful and precise ones. This optimizer is much smaller than similar neural systems. In this work, two intelligent estimators are designed, a load flow program is coded, and a special modified heuristic optimization algorithm is developed and used too. The load Pattern concept is used for training ANNs. Finally, the designed optimizer is tested on an example Distribution system; simulation results are presented, and compared with similar systems.

The genus Fusarium has a cosmopolitan Distribution with representatives occurring in most parts of the world. Individual species may have more restricted Distribution, often being confind to particular climate. This survey was undertaken in five areas with a range of climates in south eastern. New South Wales, Australia. Soil samples and plant debris were collected from 4 to 8 sites of each area. Fusarium species were isolated from all soil samples and plant debris using the dilution plant technique and debris plating technique respectively. Selective media (Pepton PCNB Agar=PPA) and Carnation Leaf Agar (CLA) were used for growth of the cultures. Plates were incubated in controlled conditions with alternating temperature regime 25ºC day and 20ºC night with a 12hr photoperiod. Twenty one species of Fusarium were isolated from soil and plant debris. The cosmopolitan species F. solani, F. oxysporum and F. equiseti were recovered from all areas, F. compactum and F. nygamai from the warmest area (Lake Cargellingo), while F. crookwellense. F. culmorum. F. tricinctum and F. sporotrichioides recovered only from the coolest area (Batlow). F. sambucinum was recovered most frequently from cool areas. F. proliferatum. F. chlamydosporum, F. graminearum and F. scirpi were isolated from moderate to warm areas, whereas F. anthophilum. F. lateritium. F. merismoides and F. babinda tended to occur in wet temperate areas near the coast. Species such as F. acuminatum F. aveanceum and F. semitectum did not show distinctive Patterns in their Distribution within the region surveyed. This survey has Fusarium species continued an empirical association between climate and Distribution of Fusarium species.        

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%.

Kowsar dam is located on Khayrabad river, 60 km north-west of Dogonbadan, Kohgiloyeh and Boyerahmad province. Operation of this multi-purpose storage dam was started in 2003. Due to similarity of reservoir coefficient (0.41) of Kowar dam and Dez dam (located in Khuzestan province), three sediment measurements in 1983, 1997 and 2003 for Dez reservoir, and location of these two dams in Persian-Gulf watershed, the sediment Distribution of Dez reservoir was used to predict sediment Distribution Pattern for Kowsar dam. The budget of sediments entering Kowsar reservoir is estimated as 475, 000 m3/year and reservoir sediment Distribution is predicted for 200-year periods for Kowsar dam. The results showed that when sedimentation rate becomes constant, the reservoir coefficient reaches a constant value of 0.59. About 632 years after the operation of Kowsar dam, sediments will reach turnouts level. Also, this dam will become full of sediments after 1437 years of operation.

Introduction: The purpose of the present study was to determine the refractive profile of strabismic children under 8 in a tertiary referral center in Tehran, Iran. Materials and Methods: This retrospective cross-sectional study was conducted on the medical records of 357 patients under the age of 8 who had one type of strabismus in Farabi Hospital, Tehran, Iran, between 2015 and 2019. All routine ophthalmic examinations were done for all patients. Cycloplegic refraction was performed after the instillation of two drops of cyclopentolate 1% with an interval of 5 minutes, and the refractive error was measured after 30 minutes. The diagnostic criteria were based on cycloplegic refraction in which myopia, hyperopia, and astigmatism were defined when the refractive error was-0. 25, +0. 75, and-0. 50 diopter (D) or more, respectively. The cycloplegic results were classified into different groups with an interval of 1. 00 D, and astigmatism was also assessed separately. Results: In this study, the most common type of refractive error in esotropic patients was hyperopia, with the +2. 00 to +4. 00 D range having a higher prevalence. In exotropic patients, hyperopia was also prevalent,the most common range of hyperopia was between +0. 75 to +1. 00 D. Astigmatism had a prevalence of 37. 8% in esotropic patients, and 17. 2% in exotropic patients with the most common range from-0. 50 to-1. 00. Myopia was present in 2. 8% of patients with esotropia and 3. 2 % of patients with exotropia with the most common range from-0. 25 to-1. 00. Conclusion: In strabismic Iranian children, hyperopia was the most prevalent refractive error in both esotropic and exotropic patients, with higher degrees of hyperopia in esotropic patients. Low astigmatism was twice as prevalent in patients with esotropia as in patients with exotropia. Low myopia was the least prevalent in both esotropic and exotropia.

A comprehensive hydrobiological and hydrological investigation conducted in Anzali lagoon from 1997 to 2000. During this study, a total of 5 phylum and 62 genera of phytoplanktons and 10 phylum and 50 genera of zooplankton were identified.The results showed that for phytoplanktons the abundance of Cyanophyta, Chrysophyta, Chlorophyta, Euglenophyta and Pyrrophyta were calculated 61.8%, 29.1%, 8.2% 0.7% and 0.2%, respectively.,The most abundance of zooplankton belongs to Rotatoria (60.8%), after that other group of zooplankton had more abundanc consist of Copepoda and its naupli (17.2%), Ciliophora (9.6%) and Rhizopoda (6.6%). Other zooplanktons had very few abundance.According to obtained results5 western region of Anzali lagoon (Abkenar) is a rich region of planktons in which the most dominant phylum of phytoplanktons was from Cyanophyta with genera of Oscillatoria, Anabaenopsis, Microcystis.The most abundance of zooplanktons were genera of Polyarthera, Brachionus and Keratella and from Arthropodaphylum, the most abundance genus was found Cyclops and its naupli.The Planktonic study indicated that Anzali lagoon is one of the richest lagoon in Iran with high production and potential water for feeding of fishes and their larva.

Different types of contact, including contact between node pairs, any-contact of nodes, and contacts of the entire network, are used to characterize social relations in mobile social networks. Different modes of routing, from the point of view of message delivery semantics, encompass unicasting, multicasting, any-casting, and broadcasting. Studies have shown that using probability Distribution functions of contact data, which is mainly assumed to be homogeneous for nodes, improves the performance of these networks. However, there exists an important challenge in studies on Distributions. A lot of works apply the Distribution of one type of contact to other types. Hence in routing applications, it causes to use of the Distribution of one type of contact for any mode of routing. This study provides a complete solution to model each type of homogeneous contact data Distribution and to use them in different modes of routing. We propose a routing algorithm that uses this new model. Results show that our solution improves the average latency of comparing methods Epidemic, TCCB, and DR about 3.5-times, 30%, and 45%, respectively. It achieves a delivery rate of about 5% and 6%, and average latency about 6% and 8% better than that of DR and TCCB, respectively.