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Parents influence their children from the beginning because the foundations of spiritual, moral and religious education are early foundations within the family, however, it is quite difficult to identify the existence of links between the manifestation of the specific behaviors of the parents and the subsequent behaviors of the children. Defining the attitude of parents towards religious education as a certain conception of parents towards which they express their position and manner, by which they firmly state their point of view towards religious education we consider this variable to be relevant in the context of religious education, both for parents self-portraying their parental style as well as those for whom we identify certain particularities of parental practices. The existence of responsible factors for the institutionalized religious education and the constant reporting of the influences they exert on the students, determined to analyze, to what extent parents can influence the educational process regarding religious education carried out in school, taking into account the self-reported parental styles and their identified personality factors.

The amount of digital content being produced every year has become so significant that even the most strong-willed users are now having difficulties if wanting to go through it all. For instance, given the pace with which movies are being released, film fans now consider platforms that can filter information based on their personal or collective preferences and provide recommendations. Interestingly, some users go as far as deciding what movie to watch based solely on the output of these systems. Most movie review sites enable users to rate a movie while optionally providing a short comment. However, trivially averaging biased ratings can be unreliable. After extensive research, we determined what makes a reputation system attractive in motivating users to contribute, accurate in providing relevant rankings and robust in case of abusive behaviour. In this paper, we will present the design details of a social reputation engine for movie reviews that, based on community feedback, empowers prolific users with a high reputation ranking. Our platform will enable users to log in and rate a movie based on a 5-star scale while also being required to provide a text review of at least 100 words. By counting upvotes and downvotes cast by other users on these reviews, usefulness marks will be computed. Furthermore, considering feedback on all of a user's activity, individual global reputation ranks will be determined. Thus, when averaging the rating for a movie, each individual rating will be weighed according to both its usefulness as well as the reputation rank of the poster.

In medical practice, choosing the correct treatment is a key problem [1]. In this work, we present an online medical recommendation system, RecoMedic, that selects most relevant medical literature for patients. RecoMedic maintains a medical literature repository in which users can add new articles, query existing articles, compare articles and search articles guided by patient information. RecoMedic uses argumentation to accomplish the article selection. Thus, upon identifying relevant articles, RecoMedic also explains its selection. RecoMedic can be deployed using single-agent as well as multi-agent implementations. The developed system has been experimented with by senior medical Ph.D students from Southern Medical University in China.

Primary open angle glaucoma (POAG) represents the second cause of mondial cecity, after retinal diabetes complications, with extremely severe implications in quality of life. Screening testing for glaucoma is justified, because only the diagnosis in very incipient stage will preserve the visual function; any treatment will not assure the reversibility of pre-existent optic nerve lesions. Screening of glaucoma, will take into a consideration the costs, the time of investigation, the adverse effects, and the sensitivity and specificity of tests; the last parameter also will strongly influence the positive predictive value. An ideal screening identifies all subjects that present the disease (sensitivity) and will exclude all healthy subjects (specificity). In this moment, in Dolj district, the diagnosis is based on active diagnosis of new cases of glaucoma on the high risk level population, therefore in a 210000 habitants. 4723 patients with glaucoma are diagnosed, screened and follow-up on medical cabinets and on Center of Glaucoma, which coordinates their activity. To better monitored patients, automatized programs with acquisition and storage for different types of medical imaging facilities had become indispensable to any routine practice.