THE MAIN REASONS UNDERLYING PERSONAL INVESTMENT IN EDUCATION

In a globalized world where information means power, we are witnessing a reorganization of the labor market, consisting in its computerization, thus, in order to successfully cope with an increasingly sophisticated job, certain skills, advanced knowledge and a diploma of higher education in the field are required. In this context, young people are considering more than ever to invest in their training level, strongly motivated to increase their earnings and quality of life. Throughout life, individuals are encouraged and find reasons to determine them to invest in education and professional development because through the educational system they acquire abilities and knowledge, which are reflected by the change of a person towards the benefit of the entire society.motivation, education investment, earnings, higher education

The impact of environmental noise on animal communication:pattern formation in a class of deterministic and stochastic hyperbolic models for self-organised biological aggregations

The collective movement of animalsoccurs as a result of communication between the members of the community. However, inter-individual communication can be aected by the stochasticity of the environment, leading to changes in the perception of neighbours and subsequent changes in  individual behaviour, which then in uence the overall behaviour of the animal aggregations. To investigate the eect of noise on the overall behaviour of animal aggregations, we consider a class of nonlocal stochastic and deterministic hyperbolic models for the collective movement of animals. We show numerically that strong noise does not seem to in uence the spatio-temporal pattern (i.e., travelling aggregations) observed when all neighbours are perceived with the same intensity (i.e., the environment is homogeneous). However, when neighbours ahead/behind are perceived dierently by a reference individual, noise can lead to the destruction of the spatio-temporal pattern. Moreover, we show that the increase in noise can lead to dierent transitions between different spatio-temporal patterns, and these transitions are relatively similar to the transitions between patterns when we perturb deterministically some parameters

Developing a Conceptual Model Based on the Correlations Between Marketing Higher Education and Knowledge Based Economy

The purpose of this paper is highlighting the bi-univocal relationship between the development of the Marketing Higher Education and the design of knowledge-based economy. On one hand, marketing science needs to incorporate the principles and the mentality of the knowledge based economy in order to develop itself separately from other socio-economic sciences and, on the other hand, knowledge-based economy needs to incorporate marketing techniques and philosophy to enhance economic relations in human communities, based not only on technology but primarily on the needs, expectations and aspirations of the people. Starting from an analysis of the state of art of the concept of knowledge-based economy and from an analysis of the current developmental stage of marketing science, particularly in Romania, this paper will highlight the strong links between those two areas and multiple interferences between them. The paper will also develop a conceptual model to emphasize these relationships.knowledge based economy, marketing, marketing higher education, macro-marketing, Romania

Modeling communication and movement: from cells to animals and humans

Communication forms the basis of biological interactions. While the use of a single communication mechanism (for example visual communication) by a species is quite well understood, in nature the majority of species communicate via multiple mechanisms. Here, I review some mathematical results on the unexpected behaviors that can be observed in biological aggregations where individuals interact with each other via multiple communication mechanisms

Quantitative Predictive Modelling Approaches to Understanding Rheumatoid Arthritis:A Brief Review

Rheumatoid arthritis is a chronic autoimmune disease that is a major public health challenge. The disease is characterised by inflammation of synovial joints and cartilage erosion, which lead to chronic pain, poor life quality and, in some cases, mortality. Understanding the biological mechanisms behind the progression of the disease, as well as developing new methods for quantitative predictions of disease progression in the presence/absence of various therapies is important for the success of therapeutic approaches. The aim of this study is to review various quantitative predictive modelling approaches for understanding rheumatoid arthritis. To this end, we start by briefly discussing the biology of this disease and some current treatment approaches, as well as emphasising some of the open problems in the field. Then, we review various mathematical mechanistic models derived to address some of these open problems. We discuss models that investigate the biological mechanisms behind the progression of the disease, as well as pharmacokinetic and pharmacodynamic models for various drug therapies. Furthermore, we highlight models aimed at optimising the costs of the treatments while taking into consideration the evolution of the disease and potential complications.Publisher PDFPeer reviewe

The Role of Education within a Knowledge Based Society: Teachers’ Perception on how e-Learning Systems can be integrated in Classroom Activities

The development of the interactive, collaborative and dynamic e-learning methods is considered the primary mode of evolution of the Romanian and international educational systems. Most of the studies have revealed the widespread benefits of these technologies and exemplifying their applicability and their evolution within the education systems. However, few studies clearly identify the role that e-learning platforms have in the improvement of teaching - learning and how these technologies can be integrated into the classroom. This article proposes a new approach related to the integration of these systems while providing educational acts, starting by identifying and understanding the perceptions that teachers have regarding this type of innovative technology, explaining and interpreting the results of a qualitative research conducted within Romanian educational market. Teacher’s perception on the role of e-learning education is interpreted as a factor, which influences the quality of the use and the integration of these technologies in the Romanian educational environment, reaffirming the need for a coherent implementation of these instruments at a specific school level but also at general educational environment integration

A mathematical model for the role of macrophages in the persistence and elimination of oncolytic viruses

Replicating oncolytic viruses provide promising treatment strategies against cancer. However, the success of these viral therapies depends mainly on the complex interactions between the virus particles and the host immune cells. Among these immune cells, macrophages represent one of the first line of defence against viral infections. In this paper, we consider a mathematical model that describes the interactions between a commonly-used oncolytic virus, the Vesicular Stomatitis Virus (VSV), and two extreme types of macrophages: the pro-inflammatory M1 cells (which seem to resist infection with VSV) and the anti-inflammatory M2 cells (which can be infected with VSV). We first show the existence of bounded solutions for this differential equations model. Then we investigate the long-term behaviour of the model by focusing on steady states and limit cycles, and study changes in this long-term dynamics as we vary different model parameters. Moreover, through sensitivity analysis we show that the parameters that have the highest impact on the level of virus particles in the system are the viral burst size (from infected macrophages), the virus infection rate, the M1$\to$M2 polarisation rate, and the M1-induced anti-viral immunity