Results 81 to 90 of about 9,108,194 (280)

Network Structure, Metadata, and the Prediction of Missing Nodes and Annotations

Physical Review X, 2016
The empirical validation of community detection methods is often based on available annotations on the nodes that serve as putative indicators of the large-scale network structure. Most often, the suitability of the annotations as topological descriptors
Darko Hric, Tiago P. Peixoto, Santo Fortunato   +2 more
doaj   +1 more source

Iterative Selection of DNA Nanostructures for Cellular Uptake

Advanced Materials, EarlyView.
DNA nanostructures are promising cell targeting delivery vehicles for therapeutics, but the targeting behavior is not fully understood. In this study, libraries of DNA nanostructures that can be amplified and sequenced are combined with cellular uptake as a selection pressure to iteratively refine DNA structures taken up in cells to better understand ...
Anjali Rajwar, Lisa Eichhorn, Jakub Palacka, Sandra Ly, Erik Benson   +4 more
wiley   +1 more source

Spin, Orbital, Weyl and Other Glasses in Topological Superfluids [PDF]

, 2018
| openaire: EC/H2020/694248/EU//TOPVACOne of the most spectacular discoveries made in superfluid 3He confined in a nanostructured material like aerogel or nafen was the observation of the destruction of the long-range orientational order by a weak random
Volovik, G. E., Eltsov, V. B., Mäkinen, J. T., Rysti, J.   +3 more
core   +1 more source

Integration of gene expression data with prior knowledge for network analysis and validation

BMC Research Notes, 2011
Background Reconstruction of protein-protein interaction or metabolic networks based on expression data often involves in silico predictions, while on the other hand, there are unspecific networks of in vivo interactions derived from knowledge bases.
Ante Michael, Wingender Edgar, Fuchs Mathias   +2 more
doaj   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

A collective perception model for neighbor selection in groups based on visual attention mechanisms

New Journal of Physics
The mechanisms by which individuals visually perceive and select others within a group to interact with are of fundamental importance to various collective motion behaviors.
Kang Li, Liang Li, Roderich Groß, Shiyu Zhao   +3 more
doaj   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Correlations and screening of topological charges in Gaussian random fields [PDF]

, 2003
Two-point topological charge correlation functions of several types of geometric singularity in Gaussian random fields are calculated explicitly, using a general scheme: zeros of n-dimensional random vectors, signed by the sign of their Jacobian ...
Dennis, MR, Dennis, M.R., Dennis, M R; id_orcid   +2 more
core   +1 more source

ESTimating plant phylogeny: lessons from partitioning

BMC Evolutionary Biology, 2006
Background While Expressed Sequence Tags (ESTs) have proven a viable and efficient way to sample genomes, particularly those for which whole-genome sequencing is impractical, phylogenetic analysis using ESTs remains difficult.
Stevenson Dennis W, Brenner Eric D, Katari Manpreet S, Egan Mary G, de la Torre Jose EB, Coruzzi Gloria M, DeSalle Rob   +6 more
doaj   +1 more source