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In a preliminary study aimed at outlining the organization of affective categories in Romanian, several cases were identified where Romanians made use of two or more competing linguistic terms applied to what appeared to be the same conceptual configuration . One such case is taken into consideration in this 5-study follow-up investigation, whose purpose was to obtain empirical data for establishi

Kort framställning av en forskningsbaserad bild av den historiske Jesus i lärobok på akademisk basnivå

In the framework of robotics, Reinforcement Learning (RL) deals with the learning of a task by the robot itself. This paper presents a hierarchical planning approach in which the robot learns the optimal behavior for different levels. For high-level discrete actions, Q-learning was chosen, whereas for the low level we utilize Policy Improvement with Path Integrals (PI^2) algorithm to learn the par

We describe the dynamical evolution of a unique type of dark star cluster model in which the majority of the cluster mass at Hubble time is dominated by an intermediate-mass black hole (IMBH). We analysed results from about 2000 star cluster models (Survey Database I) simulated using the Monte Carlo code MOnte Carlo Cluster simulAtor and identified these dark star cluster models. Taking one of the

1.INTRODUCTIONBefore the phase-out of incandescent lamps in the EU, interior lighting was responsible for approximately 20% of average household electricity use in Sweden. To save energy and reduce greenhouse gas emissions, a major societal goal is to switch from light sources with low lm/W to ones with higher luminous efficacy and to reduce wasteful energy behaviour, while still meeting end user

Behandlar Gustav IV Adolfs damnatio memoriae i konst och arkitektur.

Vetenskaplig kommentar till Magnus Gabriel de la Gardies psalm 621 i Den svenska psalmboken 1986

Background In the search for therapeutic peptides for disease treatments, many efforts have been made to identify various functional peptides from large numbers of peptide sequence databases. In this paper, we propose an effective computational model that uses deep learning and word2vec to predict therapeutic peptides (PTPD).∗: Results Representation vectors of all k-mers were obtained through wor

Bastin et al (Reports, 5 July 2019, p. 76) claim that 205 gigatonnes of carbon can be globally sequestered by restoring 0.9 billion hectares of forest and woodland canopy cover. Reinterpreting the data from Bastin et al, we show that the global land area actually required to sequester human-emitted CO2 is at least a factor of 3 higher, representing an unrealistically large area.

Behavioral and electroencephalography (EEG) data were analyzed from 30 participants performing a demanding, attention-capturing task in which they had to detect an occasional decrement of luminance of small discs. Crucially, numerous white segments in the background were presented either in random orientations or configuring a contour shape of a square or a diamond. The participants' awareness of

Since the last decade, development efforts by academia and industry for automated driving functions have increased significantly. Also, the European research project AdaptIVe is looking into this topic. Within AdaptIVe, 21 different automated driving functions for different speed ranges and target areas have been developed. They have been developed in three sub projects (SPs), addressing different

Surrogate indicators are meant to be alternatives or complements of safety analyses based on accident records. These indicators are used to study critical traffic events that occur more frequently, making such incidents easier to analyse. This article provides an overview of existing surrogate indicators and specifically focuses on their merit for the analyses of vulnerable road users and the exte