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How should we understand why firms exist? A prevailing view has been that they serve to keep in check the transaction costs arising from the self-interested motivations of individuals. We develop in this article the argu...

A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. However, in many real-world applications, this...

Knowledge is a broad and abstract notion that has defined epistemological debate in western philosophy since the classical Greek era. In the past few years, however, there has been a growing interest in treating knowledg...

Image-to-image translation is a class of vision and graphics problems where the goal is to learn the mapping between an input image and an output image using a training set of aligned image pairs. However, for many tasks...

The purpose of this study is to design a scholarship system that promotes international mobility among students in Ecuador as a means to not only strengthen scientific research but a culture of service within the higher ...

University entrepreneurial ecosystems are key drivers of regional development and technological innovation in Latin America—a region still marked by poverty, unemployment, and inequality (Crespi & Tacsir, 2011). Innova...

This study proposes a conceptual model to assess innovation capabilities and sustainability outcomes in university-based R&D centers (NACTs) within the AgTech ecosystem. Applying the model to FISFARVET at UNICEN, the res...

Los estudios en biotecnología canina están menos desarrollados que en otras especies. Las gametas y la reproducción canina en general tienen características únicas comparadas con las de otros mamíferos lo que hace ...

We study the Jupiter family comet (JFC) population assumed to come from the Scattered Disk and transferred to the Jupiter’s zone through gravitational interactions with the Jovian planets. We shall define as JFCs those...

We derive a new self-organizing learning algorithm that maximizes the information transferred in a network of nonlinear units. The algorithm does not assume any knowledge of the input distributions, and is defined here f...

Over the last three decades, the French sociologist Pierre Bourdieu has produced one of the most imaginative and subtle bodies of social theory and research of the post war era. Yet, despite the influence of his work, no...