Partying and cocooning? no paradox for mayoral recruitment in Belgium

This paper studies the role of partisanship in the road to the Belgian mayoralty. It confirms the expectation that most mayors have quite extensive party records prior to coming to office. Although different degrees of partisanship are thus relative, they tend to sort both internal and external effects. Mayors with a highly partisan background give a more active interpretation of their initial recruitment and get a head start in their political career. They also more frequently come from families that are deeply engaged in politics. In addition, they combine their own partisan experience with additional recruitment apprenticeships. Having held a function in a party and having experienced extensive party support make mayoral orientations more partisan in terms of task importance and exchange of views with party leaders

Abraham Maimonides: un sufí judío

Abstract not availabl

Deployment verification of large CFRP helical high-gain antenna for AIS signals

Deployment verification of large CFRP helical high-gain antenna for AIS signal

Impactanalyses en duurzaamheidstransities in Vlaanderen: reflectie & pilootoefening

In deze TRADO-paper trachten we het debat te voeden inzake de functie(s) van een impactanalyse voor duurzame ontwikkeling in de context van duurzaamheidstransities. Daarbij analyseren we de opportuniteiten en knelpunten voor het gebruik van de SIA Quick Scan als instrument voor impactanalyse voor duurzame ontwikkeling in Vlaanderen via een gevalstudie rond het Vlaamse Beleidsplan Ruimte. Enkele reflecties hierbij bevatten beleidsaanbevelingen m.b.t. de toepassing van impactanalyse voor duurzame ontwikkeling in Vlaanderen

From lab to field : yield stability and shade avoidance genes are massively differentially expressed in the field

To unravel molecular mechanisms with the ultimate goal to achieve improved stress resilience or increased yield, plants are often studied under highly controlled conditions in which stresses are applied and in which growth‐ or architecture‐related traits are meticulously recorded. Over the past decades, this has led to a boost in our understanding of key molecular players and in strategies to improve yield stability. However, many single‐gene traits fail to translate into applications (Nuccio et al., 2018)

Forms of Dependence: Comparing SAOMs and ERGMs From Basic Principles

Two approaches for the statistical analysis of social network generation are widely used; the tie-oriented exponential random graph model (ERGM) and the stochastic actor-oriented model (SAOM) or Siena model. While the choice for either model by empirical researchers often seems arbitrary, there are important differences between these models that current literature tends to miss. First, the ERGM is defined on the graph level, while the SAOM is defined on the transition level. This allows the SAOM to model asymmetric or one-sided tie transition dependence. Second, network statistics in the ERGM are defined globally but are nested in actors in the SAOM. Consequently, dependence assumptions in the SAOM are generally stronger than in the ERGM. Resulting from both, meso- and macro-level properties of networks that can be represented by either model differ substantively and analyzing the same network employing ERGMs and SAOMs can lead to distinct results. Guidelines for theoretically founded model choice are suggested

Modeling Partitions of Individuals

Despite the central role of self-assembled groups in animal and human societies, statistical tools to explain their composition are limited. We introduce a statistical framework for cross-sectional observations of groups with exclusive membership to illuminate the social and organizational mechanisms that bring people together. Drawing from stochastic models for networks and partitions, the proposed framework introduces an exponential family of distributions for partitions. We derive its main mathematical properties and suggest strategies to specify and estimate such models. A case study on hackathon events applies the developed framework to the study of mechanisms underlying the formation of self-assembled project teams

Impact of Temperature, Ethanol and Cell Wall Material Composition on Cell Wall-Anthocyanin Interactions.

The effects of temperature and ethanol concentration on the kinetics of anthocyanin adsorption and desorption interactions with five cell wall materials (CWM) of different composition were investigated. Using temperatures of 15 °C and 30 °C and model wine with ethanol concentrations of 0% and 15% (v/v) over 120 min, the adsorption and desorption rates of five anthocyanin-glucosides were recorded in triplicate. Small-scale experiments were conducted using a benchtop incubator to mimic a single berry fermentation. Results indicate that more than 90% of the adsorption occurs within the first 60 min of the addition of anthocyanins to CWM. However, desorption appears to occur much faster, with maximum desorption being reached after 30 min. The extent of both adsorption and desorption was clearly dependent not only on temperature and ethanol concentration but also on the CWM composition

The role of old-growth forests in frequent-fire landscapes

Classic ecological concepts and forestry language regarding old growth are not well suited to frequent-fire landscapes. In frequent-fire, old-growth landscapes, there is a symbiotic relationship between the trees, the understory graminoids, and fire that results in a healthy ecosystem. Patches of old growth interspersed with younger growth and open, grassy areas provide a wide variety of habitats for animals, and have a higher level of biodiversity. Fire suppression is detrimental to these forests, and eventually destroys all old growth. The reintroduction of fire into degraded frequent-fire, old-growth forests, accompanied by appropriate thinning, can restore a balance to these ecosystems. Several areas require further research and study: 1) the ability of the understory to respond to restoration treatments, 2) the rate of ecosystem recovery following wildfires whose level of severity is beyond the historic or natural range of variation, 3) the effects of climate change, and 4) the role of the microbial community. In addition, it is important to recognize that much of our knowledge about these old-growth systems comes from a few frequent-fire forest types