In recent years, world tourism has diversified its forms of manifestation on an international level, trying to capitalize on the most valuable cultural and religious objectives of a country's cultural and religious heritage. I chose such a theme because we are witnessing a revival of this form of tourism. It is thousands and thousands of years old, and now it is gaining momentum with the help of another vision of religious and pilgrimage tourism. Its new dimensions make it an attractive field for tourism agencies, national and local authorities, tour operators, transport companies, universities, public administrations, those dealing with general and specific infrastructure, as well as others. In Romania, with the collapse of the communist system, the presence of religious topics in the media discourse increased significantly. Particular attention is paid to the phenomenon of pilgrimage, and often this information ends up being the most important news of the day, on many communication channels. Pilgrimages are considered to be important religious events, heavily mediatized and very popular among the faithful, but very little researched. The present work aims to look towards these unexplored areas and study the phenomenon of pilgrimage, to analyze the economic dynamics of the religious phenomenon. Some of these fields are intensively researched abroad, where there is a significant specialized literature, while in Romania, these fields are less investigated.There are many studies in the field, at the international level, but at the national level, the phenomenon is less debated. This is the reason why the proposed case study and the examples used in the paper investigate the Romanian religious realities.In this article we aim to create both an image of religious tourism today and its dynamics in the near future (the evolution of the number of tourists and the economic side of this phenomenon).

This work is the result of some research and documentation of the theoretical problems of statistics and its applications in the study of phenomena and processes in nature and society. Statistics has applications in the most diverse fields, such as: medicine, natural sciences, economics, politics, human behavior sciences, etc. Practically, in any field of human existence we witness operations of gathering, systematizing and interpreting information. That is why its role is very important. Therefore, this paper reviews some statistical methods that are used in social sciences. The focus is mainly on the applied aspect of the techniques and the author give insights about techniques that can be used to answer problems in the abovementioned areas of research. The article focuses on detailed explanations in the presentation of the consequences of the application of statistical procedures in the social sciences.

Mathematical thinking involves the ability to reason in rigorously composed stages, each related to the previous ones but also the ability to concentrate on long-term attention. Within the professional training of a teacher, two sides are combined: the scientific and the pedagogical. It is obvious that a good teacher must be a person with a rich, well-founded scientific training, clearly superior to the level at which he teaches. This paper seeks to provide an overview of current trends in the development of mathematics teaching, especially in the current context of the pandemic, when teaching is done mainly online. The aim is to highlight the differences, advantages and disadvantages, between teaching mathematics under normal conditions, offline and online teaching. Teaching math online is a huge challenge for both teachers and students.

Many mathematical models have been developed in the last years in order to analyze economic phenomena and processes. Some of these models are optimization models, static or dynamic, while others are developed specially to study the evolution of economic phenomena. The topic of this paper is forecasting with nonlinear models. A few well-known nonlinear models are introduced, and their properties are discussed. The variety of nonlinear relationships is important both from the perspective of estimation and from the precision of forecasts in the medium and especially long term. Most nonlinear forecasting methods and all methods based on neural networks lead to predictions that have a better quality than the forecasts obtained by linear methods. The last section of this paper contains a detailed study of the relationship between inflation and unemployment and a numerical application with numerical data from Romania.