“Pădurea Spânzuraţilor” written by Liviu Rebreanu is a complex novel whose fundamental theme is the inner conflict. The paper Obsessive Contradictions in ”Pădurea spânzuraților” written by Florentina Gabriela Stroe is aimed at highlighting the protagonist’s struggle to regain balance and analyzes the contradictions which occour in his mindset.
The Romanian writer Liviu Rebreanu published his work in 1922. It was partly inspired by the experience of his brother, an officer in the Austro-Hungarian Army, who was hanged for espionage and desertion during World War I. The criticism of those times were very favorable for the novel and critics like Eugen Lovinescu affirmed that it is the best Romanian psychological novel and also a methodical study powered by precise facts and incidents pushed beyond the rational netting, deep inside the subconscious. No less was said by George Călinescu, who sees the novela as a monography of an agonizing incertitude, in which the main charater illustrates the psychology of the mediocre soul controlled by two different attitudes imposed from the outside.
Death is a topic of interest for most of us and it is safe to affirm that it generates, depending on temperament and cultural level, completly different views. The theme of death is fundamental in Anton Holban’s novels as remaked by Adelina Lascu in her paper. She states that Anton Holban had always advocated for authenticity and for the cult of living, his work being deeply marked by autobiographical elements and themes like love, death, jealousy and a detailed psychological analysis of the inner self.
Because of their ability to reproduce the biological neural networks, ANNs (Artificial neural networks) have found uncountable applications to a wide range of disciplines. Simina Maris, Titus Slavici, Petre Nenu and Liliana Baciu will present in the latest volume of BRAIN journal an article about the usage of artificial intelligence, especially artificial neural networks (ANNs), in the development of an efficient research plan for studying the quality of finite products, in particular wood briquettes obtained from various biomass mixtures.
Their work is a response to the needs expressed by a private company (SC Andrei Slavici SRL) searching for innovation in the production of wood pellets and briquettes on the market of nonconventional bio-fuels.
In this era of technology, it cannot come as a surprise that E-Commerce sites have become a significant part of the user’s online activity. In order for these websites to remain relevant to the visitors over long periods of time, attention should be brought to their efficiency and effectiveness when it comes to their interactivity dimensions. The study The Analysis of E-Commerce Sites with Eye-Tracking Technologies – written by O. Dospinescu and A. E. Percă-Robu – is examining the effects of the interactivity dimensions on users’ content comprehension and their attitudes towards e-commerce websites by using eye-tracking technologies.
Various fields use the eye tracking technology to assess the visual attention, but when considering the decision-making process, the specialized literature acknowledge that the eye movements are directly linked to peoples’ cognitive goals. By investigating the website’s interactivity dimensions, the authors explore the visual process and drawing the time spent on the site or on various regions of it. Dospinescu and Percă-Robu assume that a high level of interactivity leads to a favourable attitude towards the website, therefore it is important for the content creators to pay attention to the ease of use and the visual elements of their E-Commerce bussiness.
In the field of computer vision and pattern recognition, face orientation recognition stands as a significant topic. In the paper A Robust Approach of Facial Orientation Recognition from Facial Features, the authors Stefan Andrei, Kishor Datta Gupta, Md Manjurul Ahsan and Kazi Md. Rokibul Alam introduce us to an image mapping technique for face analysis.
The methodology of the study consists of two main phases: Face Feature Extraction and creating the graph image, and Matching Graph image with stored images. The Face Feature Extraction presents four steps that include Face Detection, Feature Extraction, Obtaining Feature Data and Creating image with these data.
The first step in facial feature detection is detecting the face. This requires analyzing the entire image. The second step is using the isolated face(s) to detect each feature. The technique of this study relies on the four main features of the face: left eye, right eye, nose, and mouth. It is mandatory to obtain the positions, size, height, width, and angle of these features respective to each face. By acquiring the data from the features, a new picture including the model and shape of the face is created.
BRAIN: Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics
In order to ensure optimal teaching conditions for university students, attention should be brought to their personality traits and academic performance. In the paper Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics, the authors Vladimir Ivančević, Marko Knežević, and Ivan Luković present the foundation for such an adaptation of the teaching process, supported by an analytical software solution (in its initial version).
The software solution presents two main components: a data warehouse for storing collected data and an analytical software tool (built using the Shiny framework). The data warehouse contains collected data about student academic performance and personality traits, while the analytical tool is a web application that retrieves data from the data warehouse or external CSV files matching the required structure and allows analysts to perform exploration and analysis of data concerning student performance and personality.
In neurology and neuroscience research, Steady-State Visually Evoked Potential (SSVEP) are brain signals which occur in response to visual stimulation. The paper Novel Detection Features for SSVEP Based BCI: Coefficient of Variation and Variation Speed – written by Abdullah Talha Sözer and Can Bülent Fidan – aims to introduce novel detection features for the SSVEP based brain computer interfaces. Brain-computer interface (BCI) is a collaboration between a brain and a device that enables signals from the brain to direct some external activity, such as control of a cursor or a prosthetic limb. The interface enables direct communication between the brain and the object to be controlled.
It is safe to affirm that in the present days, digital devices have become indispensable. However, the emotional state of the users of said devices tends to be ignored or considered a dispensable input. In order for a technology to be efficient, it is required to develop it in concordance with the humans’ emotional states when put in contact with said technology.
Cursor Movement – a Valuable Indicator in Intelligent System Design approaches this issue by introducing an innovative method of improving the analysis of digital device efficiency: cursor movement. This paper – written by Versavia-Maria Ancusa and Ciprian-Maniu Dragoe – aims to present a method used to read user behavior in a working computer environment.
When talking about advertisements, one would certainly link them to the word “symbol”, as the advertisements prepare for the products that they recommend a rich symbolic life. Since the products are different, the symbolic life should also be creative and different. More than that, this is exactly the reason why symbolism is linked to commerce: because the producers are numerous and their goods similar. So, in order to differentiate their goods, the producers seem to transform them into symbols, to assign values to them.
The paper written by Costin Popescu explains some practices of advertising, mainly: visual symbolic potential stressed by verbal commentaries, product’s icon as part of a network of forms and Iconic network claimed by the brand. All of the explanations contain examples and photos in order to support the opinion. The third section of the article includes the interpretations of Boucheron’s Jaïpur. It was launched in the mid-1990s and generated a lot of discussions. It was compared to a lot of other advertisments and linked to different conceptions. The nutcracker in Cincinnati, on which the four forms dance, and advertising from the 1990s, mainly Coco. L’esprit de Chanel which shows a woman on a pedestal with stairs is brought into discussion.