elham mazaheri

Some issues of the electroactive materials in supercapacitor devices, such as low specific surface area, lower electron/ion transportation, and undesirable conductivity, are threatening the current components of supercapacitor devices. Higher surface adsorption sites and specific surface area in the porous structures could contribute to the enhanced performance. The porous network facilitates higher ion diffusion, higher cyclic retention (which are not discussed in the present work) and improved electrochemical interactions. Improving these factors can cause more occupation sites, more connections between electrode-electrolyte, which means more reaction places for charge storage in the supercapacitor devices. In the present study, we synthesized graphene oxide (GO), Co- metal-organic framework (MOF) / NiMnCu nanocomposite on nickel foam (NF) (GO/ CoMOF/ NiMnCu) samples with solvothermal method. Our findings show that GO/ CoMOF/ NiMnCu sample has higher specific surface area, good porosity than their individual components. Thus, GO/ CoMOF/ NiMnCu sample has much larger specific capacitance, which can affect the sample structure and improve electrical characteristics, yield to more occupation sites and/or specific surface area, enhancement of the carrier (electrons, ions) transportation in the supercapacitor devices. Therefore, here XRD patterns confirmed metal hydroxides, Co-MOF and GO formations, and Brunauer-Emmett-Teller (BET) results revealed higher pore volume which can cause faster and better transportation of ions, or better performance of sample (GO/ CoMOF/ NiMnCu) as a possible material for the next supercapacitor devices.

Over recent years, with the rapid development and increasing popularity of social media, we have seen a massive growth in the volume and variety of fake news. This phenomenon has profound effects on individuals and society. Verification is a widely used method to counter the negative effects of fake news. But this method is not efficient when analyzing huge amount of data. Therefore, advanced machine learning models and feature-based approaches are used to automatically identify fake news. At the same time, the large number of models and the heterogeneity of features used in the literature often create limitations for researchers trying to improve model performance. For this reason, in the present study, a comprehensive framework of the features used in the detection of fake news is presented with a systematic review method. In order to carry out this systematic review, using the guide provided by Okuli and Schabram, all studies conducted in the field of fake news using related keywords were taken from ScienceDirect, Springer, Emerald, IEEE, ACM, Wiley, Sage databases. , JSTOR, Taylor and WOS were extracted and finally 72 related articles were analyzed. As a result of the analysis of related articles, the features were placed in two main categories of news content and news context. News content includes linguistic and semantic features, visual features and style-based features. The news field also includes features based on user, post and network. The obtained results showed that the most used features in detecting fake news are features based on user profile, features of statistical style, writing pattern and readability. Due to the high variety of available features, it is suggested that a wide evaluation of features, models and their performance in multiple data sets should be done and in this way the performance of different models and feature sets should be compared in order to find the best combination of features in different conditions. to become clear.

Stevia rebaudiana (Bertoni) Bertoni importance and value have been proved in the world because of its alternative potential as natural sugar and in vitro production benefits. Tissue culture of this plant was considered in order to get the best regeneration condition. In this study, proliferation of branches and rooting were measured as a factorial based on a randomized complete block design with four replications. There were two types of shoot induction hormone treatments including BAP and Kin in 0 (control sample), 0.25 and 0.5 mg/lit concentrations and two root induction hormone treatments of IBA and NAA in vitro condition. Traits were measured after 45 days on branch, leaf and root. Results showed the most branch length and root volume with 0.25 mg/lit of Kin hormone and the most root length with 0.25 mg/lit concentration of IBA. The highest rooting was related to IBA hormone in 0.5 mg/lit concentration. According tocorrelation analysis between traits, positive and significant correlation was reported. Cluster analysis grouped shoot treatment with BAP in two 0.25 and 0.5 mg/lit concentrations in one group and Kin with 0.25 and 0.5 mg/lit concentrations in another group. Also, these treatments showed the most similarity. Also, IBA root treatment with 0.25 mg/lit concentration had the most difference in comparison with other hormone treatments. According to the HPLC results, increasing of rooting hormones concentrations (NAA and IBA) leaded to leaf Stevioside increasing. Totally, hormone treatments resulted significant differences between control and treated plants. That had positive effects on plant regeneration.

The purpose of this paper is to determine the factors affecting the use of enterprise social networks, the types of usage behavior and the consequences of using these networks.

This is a descriptive study. The qualitative inquiries of previous researches in the social networking enterprise had been investigated by means of  meta-synthesis. A total of 470 found source of meta-synthesis process, 30 papers were consistent with accepted criteria.

As a result of the combination of the findings, 52 codes and 10 main concepts (individual, organizational, social, technical factors and others related to the task, active use and passive use, consequences for the individual level, group level and organizational level) were identified. In conclusion, three categories were identified:  factors affecting use, usage behavior and consequences of use that the concepts of individual, organizational, social, technical, and others related to the task as factors affecting use, as well as the concepts of active use and passive use in the category of behavioral usage were classified. In addition, individual, group and organizational level were also classified as concepts related to the significances of use category.  Among the three categories, the category of factors influencing use has a greater share of the subject, and consequences categories and its concepts had less attention than the other two categories in preceding researches.

Organizations could employ  the results of this study to encourage more employees to use enterprise social networks and thus realize the significances.

The appearance of social networks has been one of the most important events in recent decades. One of the issues raised in these networks, is how to trust. The purpose of this paper is to examine the impact of security, trust and privacy about information sharing on mobile social networks. The study also describes how users' gender moderates the privacy and security impact on trust. The current research is a descriptive-survey. In this research, Data from 190 social network users were gathered through a questionnaire designed in the form of a Telegram bot and examined using structural equation modeling techniques. Also, regarding to measure validity, convergent validity and divergent validity. And in order to fit reliability, Cronbach's alpha and composite reliability have been used. Analysis of the findings of the study shows that the security and privacy have a direct impact on users' trust. The findings also show that perceived security acts as a mediator between privacy and trust. The results show that trust has a significant impact on information sharing behavior and the impact of privacy and security on trust is stronger for men. In addition, the impact of trust on the desire to give information is more than desire to get information. In this study, a considerable effect between desire to get information and information sharing wasn't observed.

The aim of this study was to evaluate the influence of Floating Covers on the reducing evaporation from free water surface. In this study three types of covers (Polystyrene, Polystyrene with aluminum and polycarbonate) on the surface of 3 reservoirs (with three repetitions for each covers) were used. Changes in water depth of covered and uncovered reservoir were measured in one year from October 2014 until November 2015. Then the evaporation results of covered and uncovered trials were analyzed in form of a randomized complete block design with three replications using SAS software at confidence level 99% (P

With the emergence of social networks، the relationships among people found a new horizon. Nowadays، a large number of users sign up in social networks with different goals and they get involved in different activities. On the other hand they affect on one another while their roles and effects are not the same. Some of these users have more effects on the others according to their job status، educational backgrounds and their attractive notes. These users، whom we call the power nodes، can change the perspective of many users and move them to specific directions. The aim of this research is the identification of the power nodes in Tebyan، as a social network، and such aim was fulfilled through a discovery of the concealed models in the characteristics of the users. This research has followed the standard methodology of CRISP-DM. To reach this end، after the identification of the power nodes، according to the attained sum scores، from three parameters: central relativity، the page rank، and the users activities، a classification was provided from an algorithm tree. The achieved results have shown that the most significant features in determination of a user''s power in a social network are education، age and gender.

In today's information age, many manufacturing and service organizations have been faced with severe challenges in their field of business due to competitive environment and market expansion. Therefore to overcome these challenges they are forced to reengineer or re-design their business processes in order to create more added values as well as to remove non-value activities. This study addresses the redesign process through a qualitative evaluation system in Tehran Metro Operation Company. With this regard, a composite reengineering methodology has been used from PIP and Hammer-Champy through the application of best practices. This study is a descriptive and applied research in which the required data and candidate best practices were collected through library studies, workplace observation and interviews with experts in the field. Many best practices were used for the reengineering process such as eliminating unnecessary tasks, re-sequencing, reducing the number of involved people, increasing specialists, merging two or more functions, increasing control, automation of tasks and use of technology. As a result, key performance indicators were improved including increasement of staff participation in the recommendations system, increasement of recommendations handling, increasement of executive recommendations, improving the efficiency and productivity of recommendation process as well as reducing the time to handling processes. Best Practices effects are presented by evaluating quality factors.

BCG vaccination is used in many countries with a high prevalence of TB to prevent childhood tuberculosis meningitis and miliary disease. Local and systemic sideeffects are associated with BCG vaccine. The most critical reaction is disseminated BCG infection which occurs in mostly immunodeficient patients. We performed 4 autopsies during 2001-2003 which were suspected for BCGosis clinically and histologically by presence of granulomatous foci in several organs with acid fast bacilli. The mycobacteria were identified by PCR. Their DNA was extracted from the tissue blocks, identified with primers which were designed to detect the RD1 deletion. We found BCG genome by PCR in 3 out of 4 patients. These patients had acid fast bacilli in special staining. Since BCGosis is a fatal and uncommon disease, occurring after vaccination with numerous complications, its diagnosis is of paramount importance and should be considered in the appropriate clinical setting.