11,572 research outputs found
Inter-reciprocity applied to electrical networks
No full textElectrical Engineering, Mathematics and Computer Scienc
Distributed human computation framework for linked data co-reference resolution
No full textDistributed Human Computation (DHC) is a technique used to solve computational problems by incorporating the collaborative effort of a large number of humans. It is also a solution to AI-complete problems such as natural language processing. The Semantic Web with its root in AI is envisioned to be a decentralised world-wide information space for sharing machine-readable data with minimal integration costs. There are many research problems in the Semantic Web that are considered as AI-complete problems. An example is co-reference resolution, which involves determining whether different URIs refer to the same entity. This is considered to be a significant hurdle to overcome in the realisation of large-scale Semantic Web applications. In this paper, we propose a framework for building a DHC system on top of the Linked Data Cloud to solve various computational problems. To demonstrate the concept, we are focusing on handling the co-reference resolution in the Semantic Web when integrating distributed datasets. The traditional way to solve this problem is to design machine-learning algorithms. However, they are often computationally expensive, error-prone and do not scale. We designed a DHC system named iamResearcher, which solves the scientific publication author identity co-reference problem when integrating distributed bibliographic datasets. In our system, we aggregated 6 million bibliographic data from various publication repositories. Users can sign up to the system to audit and align their own publications, thus solving the co-reference problem in a distributed manner. The aggregated results are published to the Linked Data Cloud
Two-dimensional vertical-cavity surface-emitting laser arrays fabricated by zinc diffusion
No full text'Twas on the beach at Brighton one fine Summer day, I met this handsome man who stole my heart away [first line of chorus]
No full textstrophic with choruspiano and voiceTo Wm. Lingard, Author & Singerads on inside back cover for J.L. Peters stock353-3Johns Hopkins University, Levy Sheet Music Collection, Box
053, Item 027W.D. Raphaelson.Sung by LingardPaleri[?
'Twas on the beach at Brighton one fine Summer day, I met this handsome man who stole my heart away [first line of chorus]
No full textstrophic with choruspiano and voiceTo Wm. Lingard, Author & Singerads on inside back cover for J.L. Peters stock353-3Johns Hopkins University, Levy Sheet Music Collection, Box
053, Item 027W.D. Raphaelson.Sung by LingardPaleri[?
Feasibility Study of a Balanced Upper Arm Orthosis based on Bending Beams
No full textPeople with neuromuscular diseases request an orthosis close to the body for assistance with their arm movements. This paper proposes a concept for a passive arm support that is close to the body and is based on bending beams. Simulations resulted in the final configuration and dimensions of the beams, optimised to balance an arm. One Carbon-fibre-reinforced polymer beam with dimensions 0.22x0.0041x0.0027m at the medial side and one at the lateral side of the upper arm delivers the required energy for balancing the arm. Experimental evaluation of a prototype demonstrated the technical principle; more than 87% of the moment around the shoulder was balanced between 0 and 1.1rad. A second prototype was built for preliminary evaluation of the concept in relation to the body. The width of the elastic and structural elements was more than four times smaller than in present arm supports. From this it was concluded that bending beams have the potential to make an orthosis that is closer to the upper arm than current orthoses.BMEBioMechanical EngineeringMechanical, Maritime and Materials Engineerin
ShinyCell2: an extended library for simple and sharable visualisation of spatial, peak-based and multi-omic single-cell data
No full textSingle-cell technologies now span multiple modalities, generating large, complex datasets that challenge analysis and sharing. We present ShinyCell2, an enhanced R package for interactive visualisation of single-cell multi-omics and spatial transcriptomics data. ShinyCell2 retains the simplicity and lightweight deployment of its predecessor while introducing advanced visualisations, cross-modality comparisons, and statistical tools tailored to spatial and multi-omic data. It enables intuitive, rapid exploration of high-dimensional data without requiring extensive computational expertise
- …
