A transformative approach to public health, political economy and social care in the wake of Covid-19

Biological and biomedical studies have entered a new era over the past two decades thanks to the wide use of mathematical models and computational approaches. A booming of computational biology, which sheerly was a theoretician’s fantasy twenty years ago, has become a reality. Obsession with computational biology and theoretical approaches is evidenced in articles hailing the arrival of what are va- ously called quantitative biology, bioinformatics, theoretical biology, and systems biology. New technologies and data resources in genetics, such as the International HapMap project, enable large-scale studies, such as genome-wide association st- ies, which could potentially identify most common genetic variants as well as rare variants of the human DNA that may alter individual’s susceptibility to disease and the response to medical treatment. Meanwhile the multi-electrode recording from behaving animals makes it feasible to control the animal mental activity, which could potentially lead to the development of useful brain–machine interfaces. - bracing the sheer volume of genetic, genomic, and other type of data, an essential approach is, ?rst of all, to avoid drowning the true signal in the data. It has been witnessed that theoretical approach to biology has emerged as a powerful and st- ulating research paradigm in biological studies, which in turn leads to a new - search paradigm in mathematics, physics, and computer science and moves forward with the interplays among experimental studies and outcomes, simulation studies, and theoretical investigations.

He became famous with Genesis but simply to call Peter Gabriel a pop star would be to sell him very short indeed. Peter Gabriel has pursued several overlapping careers; neither becoming a parody of his past self nor self-consciously seeking new images, he instead took his creativeness and perfectionism into fresh fields. In 1975 he diversified into film soundtracks and audio-visual ventures, while engaging in tireless charity work and supporting major peace initiatives. He has also become world music’s most illustrious champion since launching WOMAD festival. These, and several other careers, make writing Peter Gabriel’s biography an unusually challenging task, but Daryl Easlea has undertaken countless hours of interviews with key friends, musicians, aides and confidants. Updated and revised for 2018, Without Frontiers gets to the heart of the psychological threads common to so many of Gabriel’s disparate endeavours and in the end a picture emerges: an extraordinary picture of an extraordinary man. Extra features include integrated Spotify playlists, charting the best of Genesis’ output with Peter Gabriel, as well as an interactive digital timeline of his life, filled with pictures and videos of lives performances, interviews and more. ‘The peculiar, white-lipped dynamic between Gabriel and his erstwhile Charterhouse chums in Genesis is vividly evoked’ – Record Collector ‘A truly wonderful biography of one of the most amazing artists of our time. Highly recommended.’ – Douglas Harr, author of ‘Rockin’ the City of Angels’

From a mathematical point of view, physiologically structured population models are an underdeveloped branch of the theory of infinite dimensional dynamical systems. We have called attention to four aspects: (i) A choice has to be made about the kind of equations one extracts from the predominantly verbal arguments about the basic assumptions, and subsequently uses as a starting point for a rigorous mathematical analysis. Though differential equations are easy to formulate (different mechanisms don't interact in infinites imal time intervals and so end up as separate terms in the equations) they may be hard to interpret rigorously as infinitesimal generators. Integral equations constitute an attractive alternative. (ii) The ability of physiologically structured population models to increase our un derstanding of the relation between mechanisms at the i-level and phenomena at the p-level will depend strongly on the development of dynamical systems lab facilities which are applicable to this class of models. (iii) Physiologically structured population models are ideally suited for the for mulation of evolutionary questions. Apart from the special case of age (see Charlesworth 1980, Yodzis 1989, Caswell 1989, and the references given there) hardly any theory exists at the moment. This will, hopefully, change rapidly in the coming years. Again the development of appropriate software may turn out to be crucial.

This book offers an inspiring exploration of current findings from the psychology of meaning in life, analysing cutting-edge research to propose practical, evidence-based applications. Schnell draws on psychological, philosophical and cognitive perspectives to explore basic concepts of meaning and introduce a multidimensional model of meaning in life. Written in an accessible style, this book covers a range of topics including the distinction between meaning and happiness, the impact of meaning on health and longevity, meaning in the workplace, and meaning-centred interventions. Each chapter ends with exercises to encourage self-reflection and measurement tools are presented throughout, including the author’s original Sources of Meaning and Meaning in Life Questionnaire (SoMe), to inspire the reader to consider the role of meaning in their own life. The Psychology of Meaning in Life is essential reading for students and practitioners of psychology, sociology, counselling, coaching and related disciplines, and for general readers interested in exploring the role of meaning in life.