7P pediatrics — Medicine of Development and Health Programming

The transition to personalized, predictive, preventive and participatory medicine, due, among other things, to the achievements of fundamental science, digitalization and the development of information and communication technologies, naturally demanded changes in childrens health care. New organizational, methodological and technological changes that have taken place to ensure a highly dynamic, adapted, and, at the same time, permanent provision of the medical process anywhere and at any time, have led to the need for specialists of a new formation a pluriexpert team ready to work in new conditions: how to participate in research in fundamental science, and to the introduction of innovative methods in clinical practice, medical and social support and the educational process. In these conditions, the strategic goal set for pediatrics to analyze absolutely all aspects of health: somatic, neuropsychic, emotional and psycho-social, in the process of growth and development of a child from conception/birth to adolescence / adulthood was implemented in a new direction of clinical and fundamental medicine developmental pediatrics and child health programming. 7P-pediatrics: Programming the development and health of the child, Preventive, Predictive, Personalized, Participatory, Polyprofessional (Pluriexpert), Progressive medicine for children, in which the results of scientific work based on fundamental data and ideas of neurosciences about progressive development and modern methodology of educational support of the entire medical process are fully translated into a clinical practice.

Doubly excited states in a chiral waveguide-QED system: description and properties

In modern quantum optics chiral waveguide quantum-electrodynamical (wQED) systems are attracting a lot of attention from the perspective of fundamental science, and possible interesting applications. In our work we theoretically analyze the eigenstates in a two-excitation domain of an ensemble of two-level atoms that are periodically spaced, and asymmetrically coupled to a guided mode. We found that in a regime when all atoms emit photons in-phase, most eigenstates in such a system can be well-approximated and described through the eigenstates from a single excitation domain, while the rest present a superposition of bound states with two strongly attracting excitations, and states, for which the excitations strongly repel from each other occupying the opposite edges of the system.

PoshBee: Pan-European Assessment, Monitoring, and Mitigation of Stressors on the Health of Bees

PoshBee is a 5-year funded project (2018-2023) that aims to support healthy bee populations, sustainable beekeeping, and consequently pollination for crops and wildflowers across Europe. To do this we take a range of approaches, from the laboratory to the field, from molecules to ecosystems, and from fundamental science to risk assessment. This document is an edited version of the original funding proposal that was submitted to the European Commission.

Electric field control of magnetism

Electric field control of magnetism is an extremely exciting area of research, from both a fundamental science and an applications perspective and has the potential to revolutionize the world of computing. To realize this will require numerous further innovations, both in the fundamental science arena as well as translating these scientific discoveries into real applications. Thus, this article will attempt to bridge the gap between condensed matter physics and the actual manifestations of the physical concepts into applications. We have attempted to paint a broad-stroke picture of the field, from the macroscale all the way down to the fundamentals of spin–orbit coupling that is a key enabler of the physics discussed. We hope it will help spur more translational research within the broad materials physics community. Needless to say, this article is written on behalf of a large number of colleagues, collaborators and researchers in the field of complex oxides as well as current and former students and postdocs who continue to pursue cutting-edge research in this field.

Artificial Intelligence in Gravitational-Wave Science

Artificial intelligence gaining popularity not only in the computational engineering industry but also in fundamental science. For the realization of artificial intelligence, numerous machine learning algorithms have been introduced and tested for their applicability. Even in the field of gravitational-wave science, the application of machine learning has been widely studied to enhance conventional analyses in all disciplines from searching for gravitational-wave signals to characterizing noise transients. In this article, I briefly introduce the current status of gravitational-wave science and summarize research topics in which machine learning is applied to each discipline of gravitational-wave science.