Evaluation of Indoor Paths Based On Indoor Navigation Network Models and Space Syntax Measures
Indoor navigation networks (models) are an essential way to characterize the navigation patterns of pedestrians. To find the most suitable path existing studies concentrate mostly on the minimization of length and turns.
Atakan Bilgili +2 more
doaj +1 more source
Abstract Background and Aims Reliable noninvasive biomarkers are an unmet clinical need for the diagnosis of NASH. This study investigates the diagnostic accuracy of the circulating triggering receptor expressed on myeloid cells 2 (plasma TREM2) as a biomarker for NASH in patients with NAFLD and elevated liver stiffness.
Vineesh Indira Chandran +17 more
wiley +1 more source
An exemplar model should be able to explain all syntactic priming phenomena : a commentary on Ambridge (2020) [PDF]
The authors argue that Ambridge’s radical exemplar account of language cannot clearly explain all syntactic priming evidence, such as inverse preference effects (greater priming for less frequent structures), and the contrast between short-lived lexical ...
Coumel, Marion +2 more
core +1 more source
Peer Teaching Method Integrated with Card Media: Its Implementation in Arabic Syntax Learning
This research aimed to determine the effectiveness of peer teaching with card media in Arabic syntax learning. This goal was based on the problem of students' low abilities to understand Arabic syntax.
Muhammad Rizal +2 more
doaj +1 more source
Modelling source- and target-language syntactic Information as conditional context in interactive neural machine translation [PDF]
In interactive machine translation (MT), human translators correct errors in auto- matic translations in collaboration with the MT systems, which is seen as an effective way to improve the productivity gain in translation.
Bhattacharyya, Pushpak +4 more
core
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Graph-to-Sequence Learning using Gated Graph Neural Networks
Many NLP applications can be framed as a graph-to-sequence learning problem. Previous work proposing neural architectures on this setting obtained promising results compared to grammar-based approaches but still rely on linearisation heuristics and/or ...
Beck, Daniel +2 more
core +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells
This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno +16 more
wiley +1 more source
This paper investigates the acceptability of wh in-situ expressions in embedded contexts in French. We report on two experiments that tested the acceptability of wh in-situ and ex-situ in embedded clauses of biclausal direct wh-questions and in indirect
Lena Baunaz, Giuliano Bocci, Ur Shlonsky
doaj +1 more source

