306 research outputs found
Grondwaterstand handmatig meten blijkt best nauwkeurig
Het valt reuze mee met de nauwkeurigheid van handmatig gemeten grondwaterstanden. Wie de grondwaterstand op een zeer traditionele manier meet (via meetlint in de peilbuis) of met een elektronisch peilapparaat met geluidssignaal, maakt meetfouten van hooguit enkele centimeters. Een experiment bij het Boetelerveld wijst dat uit
Interpretation of microbiota-based diagnostics by explaining individual classifier decisions
Benchmarking global biodiversity of decapod crustaceans (Crustacea: Decapoda)
A new assessment of the global biodiversity of decapod Crustacea (to 31 December 2022) records 17,229 species in 2,550 genera and 203 families. These figures are derived from a well-curated dataset maintained on the online platform DecaNet, a subsidiary of the World Register of Marine Species (WoRMS). Distinct phases are recognised in the discovery process (as measured by species descriptions) corresponding to major historical and geopolitical time periods, with the current rate of species descriptions being more than three times higher than in the Victorian age of global exploration. Future trends are briefly explored, and it is recognised that a large number of species remain to be discovered and described
Лексична лакуна як об'єкт лінгвістичних досліджень
В статье осуществлен теоретический обзор проблемы лакунарности, как
одного из основных вопросов при реконструкции языковой картины мира.
Представлена классификация лексических лакун на материале сопоставления
украинского, русского и английского языка.В статті зроблено теоретичний огляд проблеми лакунарності як одного з
основних питань при реконструкції мовної картини світу. Представлена класифікація лексичних лакун на матеріалі зіставлення української, російської та
англійської мови.This paper is a theoretical review on lacunarity as one of the main problems in
reconstruction of the linguistic picture of the world. A classification of lexical lacunae
has been suggested using the material of comparison of the Ukrainian, Russian and
English languages
Monophyly and phylogenetic origin of the gall crab family Cryptochiridae (Decapoda : Brachyura)
Evaluation of exclusive enteral nutrition and corticosteroid induction treatment in new-onset moderate-to-severe luminal paediatric Crohn's disease
To induce remission in luminal paediatric Crohn's disease (CD), the ESPGHAN/ECCO guideline recommends treatment with exclusive enteral nutrition (EEN) or oral corticosteroids. In newly diagnosed moderate-to-severe paediatric CD patients, we determined the proportion of patients in which EEN or corticosteroids induced remission and maintained remission on azathioprine monotherapy. We included patients from the "TISKids" study assigned to the conventional treatment arm. Patients were aged 3-17 years and had new-onset, untreated luminal CD with weighted paediatric CD activity index (wPCDAI)> 40. Induction treatment consisted of EEN or oral corticosteroids; all received azathioprine maintenance treatment from start of treatment. The primary outcome of this study was endoscopic remission defined as a SES-CD score Conclusion: In children with moderate-to-severe newly diagnosed CD, induction treatment with EEN or CS regularly is insufficient to achieve endoscopic remission without treatment escalation at week 10.Peer reviewe
Effects of dipole position, orientation and noise on the accuracy of EEG source localization
BACKGROUND: The electroencephalogram (EEG) reflects the electrical activity in the brain on the surface of scalp. A major challenge in this field is the localization of sources in the brain responsible for eliciting the EEG signal measured at the scalp. In order to estimate the location of these sources, one must correctly model the sources, i.e., dipoles, as well as the volume conductor in which the resulting currents flow. In this study, we investigate the effects of dipole depth and orientation on source localization with varying sets of simulated random noise in 4 realistic head models. METHODS: Dipole simulations were performed using realistic head models and using the boundary element method (BEM). In all, 92 dipole locations placed in temporal and parietal regions of the head with varying depth and orientation were investigated along with 6 different levels of simulated random noise. Localization errors due to dipole depth, orientation and noise were investigated. RESULTS: The results indicate that there are no significant differences in localization error due tangential and radial dipoles. With high levels of simulated Gaussian noise, localization errors are depth-dependant. For low levels of added noise, errors are similar for both deep and superficial sources. CONCLUSION: It was found that if the signal-to-noise ratio is above a certain threshold, localization errors in realistic head models are, on average the same for deep and superficial sources. As the noise increases, localization errors increase, particularly for deep sources
Towards a synthetic tutor assistant: The EASEL project and its architecture
Robots are gradually but steadily being introduced in our daily lives. A paramount application is that of education, where robots can assume the role of a tutor, a peer or simply a tool to help learners in a specific knowledge domain. Such endeavor posits specific challenges: affective social behavior, proper modelling of the learner’s progress, discrimination of the learner’s utterances, expressions and mental states, which, in turn, require an integrated architecture combining perception, cognition and action. In this paper we present an attempt to improve the current state of robots in the educational domain by introducing the EASEL EU project. Specifically, we introduce the EASEL’s unified robot architecture, an innovative Synthetic Tutor Assistant (STA) whose goal is to interactively guide learners in a science-based learning paradigm, allowing us to achieve such rich multimodal interactions
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