Day by day data volumes are increasing and Big Data Analytics are analyzing massive datasets, which increasingly occur in web-scale business intelligence problems. The aim of this paper is to demonstrate the use of modify Fuzzy TOPSIS approach for the big data analytics Platform selection, which may be used by businesses, public sector institutions to solve multiple criteria decision making problems.

Purpose: Managers are one of the important elements of an organization, for this reason, in order to draw the future of the organization, it is necessary for the planners to specify the conditions of their selection and appointment. Therefore, the current research has been done with the aim of identifying and analyzing the components of selecting future principals.Method: In this research, comparative and benchmarking method is used as a prospective approach. This approach is based on the belief that today's advanced organizations/countries can be considered as a model for the future of another organization/countries in their respective subjects. For this, first, the fields of comparison and benchmarking were determined using Brody's four-step comparison method; then the countries of Canada, Finland, Australia, South Africa, and Japan were selected according to the qualitative balance value in the international advanced TEAMS test, human development index, life quality index(health, instruction, and welfare), education quality index, and other scientific-scholarly indexes; finally, by extracting the criteria for the selection and appointment of principals through content analysis and comparison with Iran, the proposed framework for Iran has been presented.Findings: A total of 61 components for the selection of secondary school principals were identified from among the studies conducted in the selected countries in this article. By extracting the commonalities and differences of each of the components among the countries, it was found that the highest index of manager selection and appointment belongs to Japan and the lowest one is related to Finland.Conclusion: There are similarities between the components of selection of principals of secondary schools in Iran and selected countries. In Iran, special attention should be paid to important components such as adherence to religious principles, appropriate personality traits, creativity and innovation, motivation to develop capabilities, professional growth, power of supervision and accountability, social image, leader skills, and purposefulness and foresight.

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.

The aim of this study was a strain-improvement program for Trichoderma reesei PTCC 5142 by using a combination of UV light and NTG (N-methyl-N'-nitro-N-nitrosoguanidine) for enhanced cellulase production. Following mutagenesis after several rounds, mutant A6: 2 was selected from a total of 6500 colonies. Results obtained after 4 days were: Enzyme activity 1.26 U/ml and 0.82 U/ml for exoglucanase and endoglucanase, respectively. The comparative results showed increased production exoglucanase and endoglucanase by mutant A6: 2 than Trichoderma reesei PTCC 5142 to amount 130% for exoglucanase and 156% for endoglucanase.

Quantitative genetic theories based on infinitesimal model have been very successful in selecting the best animals in the last century. One of the methods based on IFM that has been used widely in quantitative genetics is best linear unbiased prediction (BLUP). Despite, because of the limited amount of genetic material and finite number of loci for each trait some infinitesimal models assumptions can be violated. Since 1970, molecular genetics has opened this black box by mapping the single genes affecting the quantitative traits. Therefore in the past 15 years, the major effort in animal breeding has changed from quantitative to molecular genetics with emphasis on marker assisted selection (MAS).However, results have been modest. In 2001, based on a computer simulation study, genomic selection as markers covering the whole genome was proposed as a variant of MAS. Simulated and real results have been shown that the breeding values could be predicted with higher accuracy in genomic selection than traditional selection. According to expert assessments, genomic selection makes it possible to save 92% of the funds spent on traditional selection and it is twice as efficient as the latter. However, there is a long way for reaching to phenotype from genotype; nevertheless, new technologies such as genomics, transcriptomics, proteomics and metabolomics can be useful in this way.

Background and Aim: Considering the important role of molars in masticatory function and in order to prevent rapid residual ridge resorption in the postextraction phase, it is necessary to replace these teeth in an appropriate way as soon as possible. This study was conducted to evaluate the outcome of immediate tapered wide Platform implants instead in molar sockets one year following loading in a private clinic in year 1388- 89.Materials &Methods: This descriptive study was carried on 12 samples of first and second molars of 10 patients with average of 46±4.71 years, which had referred on year 1387. Immediately after extraction, tapered Platform implants were placed. One year following loading, the stability of implants was evaluated by means of periotest. Clinical evaluation was based on: pain, infection and pus drainage. In order to determine crestal bone changes parallel periapical radiographs were taken. Data were analyzed by t- test.Results: None of the samples showed pain, infection, pus drainage or continues radiolucency. The average PTV (Perio Test Value) was -2.81±1.6 with average of -1 to -6 was indicator of no mobility in implants. The average crestal bone change was 0.22±0.01 mm.Conclusion: Installation of tapered wide Platform implants at the time of molar extraction maybe successful with ideal case selection and proper surgical procedure.

Rapid and continuous changes in the surrounding environment are one of the inevitable features of the current world, which overshadows various aspects of human life. It is obvious that the educational system, as one of the most important institutions in the modern world, is not immune from facing these changes; Therefore, it is necessary for educational leaders to identify the changes and transformations of their interactive environment that affect its performance and functions, and to adopt wise measures in relation to formulating appropriate and appropriate approaches to these developments. In this regard, one of the most important developments in recent years is the expansion and penetration of new information and communication technologies into the field of education, research and learning.Digital technologies appear in various forms and capabilities, and the newest form of it in the current period is Metaverse technology. It is predicted that the ability of metaverse will gradually enter into different aspects of human life and provide a new style of life; Therefore, educational managers cannot be indifferent to this new generation of technology and do not acquire the necessary knowledge and knowledge in this field and transfer it to the body of the educational system; Therefore, based on this necessity, the present research tried to find important concepts related to the foundations, necessity, requirements and consequences of education with an analytical-descriptive approach and by using the philosophical research method by using library study. to discuss and examine virtual services in the Platform of Metaverse.

In recent decades, canola has been considered as the most important oilseed. Harvesting is the most major problem of canola cultivation, since canola pods are very sensitive to shocks and vibrations. Large amount of produce will fall on the ground especially when the combine's head is not adjusted properly. When canola harvested with a combine, the losses may reach up to 50%. The yields can be improved by decreasing seed losses during the harvesting operation. The objective of this study was to determine the optimal harvesting conditions of combine Platform to minimize grain losses. In order to achieve this, a laboratory test stand Platform was designed and built in the Department of Mechanics of Agricultural Machinery in Shiraz University. Three factors which are more effective on the losses were assessed to determine the best adjustments. These factors were combine forward speed at three levels; 1.5, 2 and 2.5 km h-1, cutter bar speed at three levels; 800, 1100 and 1400 cycles per minute and the relative linear speed of reel in respect of forward speed also at three levels; 1, 1.3 and 1.5. Desired experiment were accomplished on Talaeie variety at 16% m.c (d.b). The grain losses were measured at each level, with three replicates. By considering the interaction of factors, results showed that the effect of these factors at 5% level was significant, and the minimum loss occurred at 2 km h-1 for forward speed, 1400 cut per minute for cutter bar speed and 1.5 for relative reel speed to forward speed.

Background and aim: According to the frequent tooth loss at molar sites and necessity to replace them, the purpose of this study was to evaluate the short term clinical and radiographic outcomes of fresh molar sockets immediately implanted, with tapered wide Platform implants.Materials and Methods: 10 patients with the mean age of 46 were treated with the immediate implantation of 12 wide diameter and wide Platform implants in the molar sites.Following the atraumatic extraction of molars and preservation of the interradicular septum, implantswere placed. Immediately after the insertion of healing abutment, implant primary stability was tested with the Periotest and the crestal bone level was estimated with the periapical long-cone radiographs.Four months later patients were recalled for final evaluations, the crestal bone loss was measured and the periotest values were judged with the Wilcoxon test.Results: All 12 implants were reported with no pain, infection and continuous radiographic lucency.The average PTV1 and PTV2 reported were -4.9±0.99 and -4.6±1.37 (-2 to -7).The difference between PTVs wasn' t statistically significant (P>0.05).The average crestal bone loss was 0.54±0.96.Conclusion: Successful results were achieved with wide diameter and wide Platform implants with the appropriate case selection and surgical technique.