The Role of Higher Education in Shaping Essential Personality Traits for Achieving Success in Entrepreneurship in Spain.

Research on university education and its role in developing personality traits essential to achieving success in entrepreneurship is required because of the significance of entrepreneurship for advancements in the economic, social, technological, and environmental spheres. Additionally, the value of a university education in shaping an individual's personality, and the necessity of emphasizing entrepreneurship in higher education for students to achieve real success, should be a priority in our society. Therefore, the aim of this paper is to explore how university education influences personality traits that are key to success in entrepreneurship in Spain.

Scientific Mobility, Training and Entrepreneurial Skills in Health Sciences: The Spanish Case.

The activity of scientists promotes medical research in health services. However, on many occasions, these professionals do not know how to transfer their research results to the market. Therefore, it is worth providing data on aspects such as training in entrepreneurship and scientific mobility to foster knowledge transfer.

Entrepreneurship, intrapreneurship and scientific mobility: The Spanish case.

Scientific mobility can stimulate entrepreneurship and intrapreneurship, acting as a catalyst for reducing imbalances between local and global science and the resulting socio-economic damage. This study evaluates both whether scientific mobility effectively promotes these concepts and the fundamental reasons to articulate effective policies for scientific mobility. Toward this end, a survey has been prepared following the methodology of Global Entrepreneurship Monitor (GEM) and current scientific literature.

A Reinforcement Learning Model Equipped with Sensors for Generating Perception Patterns: Implementation of a Simulated Air Navigation System Using ADS-B (Automatic Dependent Surveillance-Broadcast) Technology.

Over the last few decades, a number of reinforcement learning techniques have emerged, and different reinforcement learning-based applications have proliferated. However, such techniques tend to specialize in a particular field. This is an obstacle to their generalization and extrapolation to other areas.