Review of Clément Vidal, "The Beginning and the End. The Meaning of Life in a Cosmological Perspective"

No more ground control. Dissertations ideally always have been ambitious, and this one can’t claim to be too humble in these regards. Together the pieces of this work form a world view that the author confesses to finding ‘magnificent’. The story he tells is one in which intelligence and complexity are keys to unlock the universe’s mysteries. Vidal tackles questions like ‘What is philosophy?’, ‘Where does it all come from?’, Where are we going?’, ‘Are we alone in the universe?’ and even ‘What is good and what is evil?’. Questions which philosophers for ages have tried to answer.

To research living beings one has to participate in life.' Viktor von Weizsäcker's legacy

Viktor von Weizsäcker has been a German medical doctor and philosopher, well known throughout Europe, but hardly received in the Anglo-American culture. He focusses on the crucial epistemological question how one can conduct research on living beings. The article’s title represents a key quote of his opus magnum “Der Gestaltkreis”, which works out a theory of the unity of perception and motion. According to Viktor von Weizsäcker, one cannot separate the two, meaning that we locate ourselves in a fundamental union with the living world, which has lasting influence on our capacity of perception. This idea does not seem too different from Ian Barbour’s idea about critical realism, exploring a “consciousness of ourselves as arising out of rapport, interconnection and participation in processes reaching beyond ourselves.” Both authors, Viktor von Weizsäcker and Ian Barbour, still have lasting influence on the dialog between religion and science, each in their respective cultures – a further reason to compare their core ideas, after presenting Viktor von Weizsäcker’s life and thought. Finally, the theological impact of von Weizsäcker’s thought will be assessed. Following his philosophy, it becomes clear that the miracle of creation is the condition of the possibility of any perception.

Learning for Sustainability - LforS: An extension approach in small scale farming

Description of LforS as a integrativ and learning oriented extension approach

Studying changes in life circumstances and personality: It's about time

Most theories of personality development posit that changes in life circumstances (e.g. due to major life events) can lead to changes in personality, but few studies have examined the exact time course of these changes. In this article, we argue that time needs to be considered explicitly in theories and empirical studies on personality development. We discuss six notions on the role of time in personality development. First, people can differ before the event. Second, change can be non-linear and discontinuous. Third, change can be reversible. Fourth, change can occur before the event. Fifth, control groups are needed to disentangle age-related and event-related changes. Sixth, we need to move beyond examining single major life events and study the effects of non-normative events, non-events, multiple events, and minor events on personality. We conclude by summarizing the methodological and theoretical implications of these notions.

Variation in life-history traits and their plasticities to elevational transplantation among seed families suggests potential for adaptative evolution of 15 tropical plant species to climate change

• Premise of the study: Because not all plant species will be able to move in response to global warming, adaptive evolution matters largely for plant persistence. As prerequisites for adaptive evolution, genetic variation in and selection on phenotypic traits are needed, but these aspects have not been studied in tropical species. We studied how plants respond to transplantation to different elevations on Mt. Kilimanjaro, Tanzania, and whether there is quantitative genetic (among-seed family) variation in and selection on life-history traits and their phenotypic plasticity to the different environments. • Methods: We reciprocally transplanted seed families of 15 common tropical, herbaceous species of the montane and savanna vegetation zone at Mt. Kilimanjaro to a watered experimental garden in the montane (1450 m) and in the savanna (880 m) zone at the mountain’s slope and measured performance, reproductive, and phenological traits. • Results: Plants generally performed worse in the savanna garden, indicating that the savanna climate was more stressful and thus that plants may suffer from future climate warming. We found significant quantitative genetic variation in all measured performance and reproductive traits in both gardens and for several measures of phenotypic plasticity in response to elevational transplantation. Moreover, we found positive selection on traits at low and intermediate trait values levelling to neutral or negative selection at high values. • Conclusions: We conclude that common plants at Mt. Kilimanjaro express quantitative genetic variation in fitness-relevant traits and in their plasticities, suggesting potential to adapt evolutionarily to future climate warming and increased temperature variability.

Modeling absolute differences in life expectancy with a censored skew-normal regression approach.

Parameter estimates from commonly used multivariable parametric survival regression models do not directly quantify differences in years of life expectancy. Gaussian linear regression models give results in terms of absolute mean differences, but are not appropriate in modeling life expectancy, because in many situations time to death has a negative skewed distribution. A regression approach using a skew-normal distribution would be an alternative to parametric survival models in the modeling of life expectancy, because parameter estimates can be interpreted in terms of survival time differences while allowing for skewness of the distribution. In this paper we show how to use the skew-normal regression so that censored and left-truncated observations are accounted for. With this we model differences in life expectancy using data from the Swiss National Cohort Study and from official life expectancy estimates and compare the results with those derived from commonly used survival regression models. We conclude that a censored skew-normal survival regression approach for left-truncated observations can be used to model differences in life expectancy across covariates of interest.

WEAVE: Efficient Geographical Routing in Large-Scale Networks

We propose WEAVE, a geographical 2D/3D routing protocol that maintains information on a small number of waypoints and checkpoints for forwarding packets to any destination. Nodes obtain the routing information from partial traces gathered in incoming packets and use a system of checkpoints along with the segments of routes to weave end-to-end paths close to the shortest ones. WEAVE does not generate any control traffic, it is suitable for routing in both 2D and 3D networks, and does not require any strong assumption on the underlying network graph such as the Unit Disk or a Planar Graph. WEAVE compares favorably with existing protocols in both testbed experiments and simulations.