In this work, we propose a novel approach for integrating rules into traffic agent trajectory prediction. Consideration of is important understanding how people behave-yet, it cannot be assumed that are always followed. To address challenge, evaluate different approaches as inductive biases deep learning-based prediction models. We framework based on generative adversarial networks uses tools f...

Scala combines the functional and object-oriented paradigms and is good at supporting embedded domain-specific languages. Scala presents therefore an opportunity for designing a new kind of query-language that belongs to the family of XPath-like query-languages, for querying semistructured data that is stored within internal memory. In the terminology of XPath, a relation between the nodes of a...

Qualitative action theory deals with purely qualitative descriptions and formal representations of agency, i.e., agents and their possibilities for intervening in the causal flow of events. This means that, contrary to game theory, qualitative action theory abstains from any metric evaluation of the outcomes of actions. In this paper we present and compare two qualitative approaches to action t...

Monitoring population trends of threatened species requires standardized techniques that can be applied over broad areas and repeated through time. Sun bears Helarctos malayanus are a forest dependent tropical bear found throughout most of Southeast Asia. Previous estimates of global population trends have relied on expert opinion and cannot be systematically replicated. We combined data from 1...

Patterns of trees’ endogenous rhythmic growth (ERG) and paralleled C allocation shift between root shoot systems have been studied, but there is still a need to understand their impact in shaping soil microbiomes. Moreover, the plants on microbial communities can be modulated or overweighed by time-induced plant and/or seasonal changes. Thus, we intended analyze structure microbiomes as respons...