Gabriela Tabacaru

The aim of this journal is to create links between researchers from apparently different scientific fields, such as Computer Science and Neurology. In fact, there are a lot of topics such as Artificial Intelligence, Cognitive Sciences and Neurosciences that can intersect in the study of the brain and its intelligent functions.

Our journal contains (in the BRAINovations and BRAINStorming sections) peer-reviewed articles. These articles should be original, unpublished articles of the authors. The peer review process is a blind one. The reviewers are well recognized scientists who are part of our scientific board, and also independent reviewers.

Some innovative young researchers from around the world had the idea to edit and publish the BRAIN journal in order to make an agora of interdisciplinary study of the brain. Young scientists and seniors in artificial intelligence, cognitive sciences and neurology fields are expected to publish their original works in our journal.

1

Georgeta Pânișoară , Ion Ovidiu Pânișoară , Cristina Sandu , Ruxandra Chirca (Neacșu)

The aim of this study is to identify the possible correlations between the strengths that are taught in school and those which are necessary for reaching personal success. In order to test the extent to which these strengths correlate, we applied a psychological-assessment tool composed of 24 strengths with a Likert-type response scale. The subjects selected for this research were 100 teachers from Romania, both male and female. The results were processed in SPSS Statistics, where we also calculated Pearson's correlation coefficient. After analyzing the descriptive statistics and the correlation coefficient we noticed that the "Vitality" strength showed a statistically significant negative correlation between the two groups, therefore it is not taught in school but it is considered important for achieving personal success. The "Citizenship" strength showed a statistically significant positive correlation, being concurrently promoted in school and important in achieving success.

The neuro-linguistic reprogramming of a young individual will need a considerable effort, first of all as regards being aware of the values which render his well-being, and secondly as regards his orientation towards these values, which as it seems he was not at all oriented to. The new student profile of today's society, also known as the digital native, needs to assimilate a full set of positive psychology values in order to create a complete model of success for nowadays' world.

2

Ahmet Demir , Utku kose

In the fields which require finding the most appropriate value, optimization became a vital approach to employ effective solutions. With the use of optimization techniques, many different fields in the modern life have found solutions to their real-world based problems. In this context, classical optimization techniques have had an important popularity. But after a while, more advanced optimization problems required the use of more effective techniques. At this point, Computer Science took an important role on providing software related techniques to improve the associated literature. Today, intelligent optimization techniques based on Artificial Intelligence are widely used for optimization problems. The objective of this paper is to provide a comparative study on the employment of classical optimization solutions and Artificial Intelligence solutions for enabling readers to have idea about the potential of intelligent optimization techniques. At this point, two recently developed intelligent optimization algorithms, Vortex Optimization Algorithm (VOA) and Cognitive Development Optimization Algorithm (CoDOA), have been used to solve some multidisciplinary optimization problems provided in the source book Thomas' Calculus 11th Edition and the obtained results have compared with classical optimization solutions.  

3

Naeemeh Kharaghani

Although both emergentism and skill acquisition theory developed in the same field (cognitive theories) and as an attempt to replace Universal grammar-based approaches, there are some differences between these two theories. The differences lie under their different models of knowledge representation and their diverse degree of emphasis on the role of input. In addition, skill acquisition considers the process of learning while emergentism considers input and output, and what goes on in between has not been considered. Finally it should be mentioned that these two theories take different views towards the learning process.  

4

Sedighe Jalili Kalangestani

The present study aimed to explore the relationship among Iranian EFL teachers' language teaching conscience, language proficiency, and emotional intelligence. To this purpose, 82 homogenized language teachers, M.A. students and M.A. holders in TEFL, English literature, and English translation, both males and females, were taken as the participants.   The result of the data analysis showed that there was a statistically significant relationship between the language teaching conscience and the emotional intelligence of Iranian EFL teachers, r_s(80) = .83, p < .05, 2). There was also a statistically significant relationship between the language teaching conscience and the language proficiency of Iranian EFL teachers, r_s(80) = .59, p < .05. And finally, there was a statistically significant relationship between the emotional intelligence and the language proficiency of Iranian EFL teachers, r_s(80) = .52, p < .05. Teacher trainers, researchers in teacher education, and language teachers can benefit from the findings of this study.

5

Răzvan Bocu , Dorin Bocu

The paper presents a series of considerations regarding the role of the conceptual invariants concerning the prevention of the artefacts' obsolescence, with an emphasis on the software engineering. The concept of artefact has the meaning that is defined in (Bocu & Bocu, 2016). The emphasizing of the invariants' role has the goal to allow the understanding, with the respective approximation, of this invariants' role considering the continuous qualitative progress of the human artefacts, generally speaking, but also in connection to the software systems engineering.  

6

Muhittin Bayram , Demet Arslan

The aim of this article is to describe the relationship between consciousness and epilepsy. Epilepsy is a neurological disorder which can be seen all over the world. It can be diagnosed by the brain's electrical activity (EEG). The determination of epileptic attacks by EEG signals is quite common in both clinical and research fields. During epileptic seizures, the brain dynamics that make up the graph consist of abnormalities in EEG signals. In this study, the relation between epilepsy and consciousness will be investigated by using wavelet entropy and artificial neural networks.

7

Sarunya Kanjanawattana , Masaomi Kimura

literature. Extracting graph information clearly contributes to readers, who are interested in graph information interpretation, because we can obtain significant information presenting in the graph. A typical tool used to transform image-based characters to computer editable characters is optical character recognition (OCR). Unfortunately, OCR cannot guarantee perfect results, because it is sensitive to noise and input quality. This becomes a serious problem because misrecognition provides misunderstanding information to readers and causes misleading communication. In this study, we present a novel method for OCR-error correction based on bar graphs using semantics, such as ontologies and dependency parsing. Moreover, we used a graph component extraction proposed in our previous study to omit irrelevant parts from graph components. It was applied to clean and prepare input data for this OCR-error correction. The main objectives of this paper are to extract significant information from the graph using OCR and to correct OCR errors using semantics. As a result, our method provided remarkable performance with the highest accuracies and F-measures. Moreover, we examined that our input data contained less of noise because of an efficiency of our graph component extraction. Based on the evidence, we conclude that our solution to the OCR problem achieves the objectives.

8

Monica Patrut

Cleverly used in political communication, Facebook helps candidates to raise their visibility, to directly communicate with the citizens and involve them in creating virtual communities and content in order to virally promote political messages.
In our study we briefly present the way in which Facebook was used, timidly at first, in the election campaign of Bacau from 2012 and 2016.
The importance of the social media during the local elections in this city has slowly but surly increased. In 2012, the presence on Facebook was only an oportunity, much less exploited than television or newspapers. In 2016 all the candidates created their campaign online, some of them exclusively on this social network. However, the success of the 2.0 mayor is not based only on using the social network as (an alternative) news channel, but rather on establishing a bidirectional link and a constant interaction with virtual friends.

9

Vesna Kumbaroska , Pece Mitrevski

Revealing an endless array of user behaviors in an online environment is a very good indicator of the user's interests either in the process of browsing or in purchasing. One such behavior is the navigation behavior, so detected user navigation patterns are able to be used for practical purposes such as: improving user engagement, turning most browsers into buyers, personalize content or interface, etc. In this regard, our research represents a connection between navigation modelling and user engagement. A usage of the Generalized Stochastic Petri Nets concept for stochastic behavioral-based modelling of the navigation process is proposed for measuring user engagement components. Different types of users are automatically identified and clustered according to their navigation behaviors, thus the developed model gives great insight into the navigation process. As part of this study, Peterson's model for measuring the user engagement is explored and a direct calculation of its components is illustrated. At the same time, asssuming that several user sessions/visits are initialized in a certain time frame, following the Petri Nets dynamics is indicating that the proposed behavioral — based model could be used for user engagement metrics calculation, thus some basic ideas are discussed, and initial directions are given.