Tropical lowland rainforests are increasingly threatened by the expansion of agriculture and the extraction of natural resources. In Jambi Province, Indonesia, the interdisciplinary EFForTS project focuses on the ecological and socio-economic dimensions of rainforest conversion to jungle rubber agroforests and monoculture plantations of rubber and oil palm. Our data confirm that rainforest transfo

Newly developed Advanced Driver Assistance Systems (ADAS) and Automated Driving offer support to the driver in his/her driving task. Besides driver comfort, these systems are expected to give significant safety improvements. However, the expected positive safety effects only will be achieved if the driver uses the system in the way it was intended to be used, he/she follows its recommendations and

Species diversity promotes the delivery of multiple ecosystem functions (multifunctionality). However, the relative functional importance of rare and common species in driving the biodiversity-multifunctionality relationship remains unknown. We studied the relationship between the diversity of rare and common species (according to their local abundances and across nine different trophic groups), a

The question asked in this thesis is: what is the impact on the democratic legitimacy of the legal orders of the member states of the EU, where the meaning of EU fundamental rights is determined by the Court of Justice of the EU. It begins by developing a theoretical framework which reconstructs the deep structure of the law of the member states, in order to understand the ground of legitimacy for

We report electrical characterization of quantum dots formed by introducing pairs of thin wurtzite (WZ) segments in zinc blende (ZB) InAs nanowires. Regular Coulomb oscillations are observed over a wide gate voltage span, indicating that WZ segments create significant barriers for electron transport. We find a direct correlation of transport properties with quantum dot length and corresponding gro

Anti-doping work is a comprehensive enterprise that entails control and governance of elite athletes’ everyday lives. However, in policy-making regarding doping and anti-doping in elite sports, the athletes’ perspective has not been considered adequately. Focusing on elite athletes’ perceptions of anti-doping as both principle and praxis, the study aimed to analyse how these perceptions can be und

A promising approach for addressing sustainability problems is to recognize the unique conditions of a particular place, such as problem features and solution capabilities, and adopt and adapt solutions developed at other places around the world. Therefore, research and teaching in international networks becomes critical, as it allows for accelerating learning by sharing problem understandings, su

We propose a functional version of the Hodrick–Prescott filter for functional data which take values in an in nite-dimensional separable Hilbert space. We further characterize the associated optimal smooth- ing operator when the associated linear operator is compact and the underlying distribution of the data is Gaussian.

We introduce a model description of femtosecond laser induced desorption at surfaces. The substrate part of the system is taken into account as a (possibly semi-infinite) linear chain. Here, being especially interested in the early stages of dissociation, we consider a finite-size implementation of the model (i.e., a finite substrate), for which an exact numerical solution is possible. By time-evo

Hidden Markov models are often used to model daily returns and to infer the hidden state of financial markets. Previous studies have found that the estimated models change over time, but the implications of the time-varying behavior have not been thoroughly examined. This paper presents an adaptive estimation approach that allows for the parameters of the estimated models to be time varying. It is

We study a version of the functional Hodrick–Prescott filter in the case when the associated operator is not necessarily compact but merely closed and densely de ned with closed range. We show that the associated optimal smoothing operator preserves the structure obtained in the compact case when the underlying distribution of the data is Gaussian.