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Over the last few years, we have witnessed a surge in protest movements around the world. As planet Earth shows its vulnerability and a global pandemic has fundamentally recalibrated the textures of our individual and collective lives, a shared concern for survival triggers individuals and groups to contest the status quo and to call for alternative solutions to the pressing issues of our time. Th

This study examines the landscape changes that developed in Tarraco (modern-day Tarragona, Spain) between the Roman Republican period and the end of the first century CE. This study, based on a compilation and re-evaluation of archaeological data, combines quantitative and qualitative approaches to analyse types of sites and their geographical distribution. This research aims to identify elements

This introductory chapter establishes the theoretical and methodological framework for examining the profound transformations that occurred across the western provinces of the Roman Empire during the Augustan period. The volume explores these changes through the lens of landscape archaeology, considering landscapes as complex social constructs that reflect and integrate multiple factors—social, ec

One main reason why Homo sapiens rule the world is because they are being more creative than other tribes. By the same token, organizations that are more creative can survive longer and better than their less creative counterparts. In this study, the author provides her insights into the meaning of creativity, the myths of creativity, and the recipe for creativity.

We study the homogenization of the Dirichlet problem for the Stokes equations in R3 perforated by m spherical particles. We assume the positions and velocities of the particles to be identically and independently distributed random variables. In the critical regime, when the radii of the particles are of order m-1, the homogenization limit u is given as the solution to the Brinkman equations. We p

University students’ conceptions of differentiability, continuity and relationsbetween these concepts were studied to reveal their choices of representationsand their strategies to justify their relational claims. Questionnaires and interviews were used to collect data. The results were analysed and categorizedthrough a framework based on understanding as connections between concepts,and a theory

The development of physics-informed deep learning is radically changing compu-tational science and engineering, allowing for an effective integration ofphysics-based and datadriven modeling. Deep learning provides a powerful tool forthe discovery of governing dynamics underneath data and enables nonlinear model-reduction. A Bayesian viewpoint of deep learning is discussed in this chapter towards t