Genetic Bases of Complex Traits: From Quantitative Trait Loci to Prediction.
Sign Up to like & getrecommendations! Published in 2022 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-2205-6_1
Abstract: Conceived as a general introduction to the book, this chapter is a reminder of the core concepts of genetic mapping and molecular marker-based prediction. It provides an overview of the principles and the evolution of… read more here.
Keywords: bases complex; genetic bases; marker; prediction ... See more keywords
A Dynamo-Based Prediction of Solar Cycle 25
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DOI: 10.1007/s11207-021-01878-2
Abstract: Solar activity cycle varies in amplitude. The last Cycle 24 is the weakest in the past century. Sun’s activity dominates Earth’s space environment. The frequency and intensity of the Sun’s activity are accordant with the… read more here.
Keywords: cycle; based prediction; solar cycle; dynamo based ... See more keywords
AI-based prediction of independent construction safety outcomes from universal attributes
Sign Up to like & getrecommendations! Published in 2020 at "Automation in Construction"
DOI: 10.1016/j.autcon.2020.103146
Abstract: This paper significantly improves on, and finishes to validate, an approach proposed in previous research in which safety outcomes were predicted from attributes with machine learning. Like in the original study, we use Natural Language… read more here.
Keywords: safety; safety outcomes; construction; based prediction ... See more keywords
Machine learning-based prediction of phases in high-entropy alloys
Sign Up to like & getrecommendations! Published in 2021 at "Computational Materials Science"
DOI: 10.1016/j.commatsci.2020.110244
Abstract: Abstract “The answer to the question “why HEAs exhibit such exceptional properties” lies in their phases” [1]. The implementation of machine learning (ML) approaches for the classification of solid solution high-entropy alloy (HEA) phases is,… read more here.
Keywords: learning based; machine learning; high entropy; based prediction ... See more keywords
Normal graph: Spatial temporal graph convolutional networks based prediction network for skeleton based video anomaly detection
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.148
Abstract: Abstract This paper focus on analyzing graph connection of human joints for skeleton based video anomaly detection, which is more effective and efficient than those image-level reconstruction based or prediction based methods that may be… read more here.
Keywords: skeleton based; video anomaly; anomaly detection; based video ... See more keywords
Sequence-based Prediction of the Cellular Toxicity Associated with Amyloid Aggregation within Protein Condensates
Sign Up to like & getrecommendations! Published in 2022 at "Biochemistry"
DOI: 10.1021/acs.biochem.2c00499
Abstract: Various neurological dysfunctions are associated with cytotoxic amyloid-containing aggregates formed through the irreversible maturation of protein condensates generated by phase separation. Here, we investigate the amino acid code for this cytotoxicity using TDP-43 deep-sequencing data.… read more here.
Keywords: based prediction; aggregation; sequence based; cytotoxicity ... See more keywords
Evidence-Based Prediction of Cellular Toxicity for Amorphous Silica Nanoparticles.
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DOI: 10.1021/acsnano.2c11968
Abstract: Developing a generalized model for a robust prediction of nanotoxicity is critical for designing safe nanoparticles. However, complex toxicity mechanisms of nanoparticles in biological environments, such as biomolecular corona formation, prevent a reliable nanotoxicity prediction.… read more here.
Keywords: based prediction; silica nanoparticles; toxicity; prediction ... See more keywords
Damage Detection of Seismically Excited Buildings Based on Prediction Errors
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Aerospace Engineering"
DOI: 10.1061/(asce)as.1943-5525.0000835
Abstract: AbstractBuildings may suffer serious damage when subjected to extreme loadings such as strong winds and earthquakes. In seismic events, the error time histories between measured and estimated respo... read more here.
Keywords: damage detection; excited buildings; buildings based; based prediction ... See more keywords
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
Sign Up to like & getrecommendations! Published in 2022 at "European Heart Journal"
DOI: 10.1093/eurheartj/ehac238
Abstract: Abstract The medical field has seen a rapid increase in the development of artificial intelligence (AI)-based prediction models. With the introduction of such AI-based prediction model tools and software in cardiovascular patient care, the cardiovascular… read more here.
Keywords: based prediction; intelligence based; artificial intelligence; prediction models ... See more keywords
Motion-Based Prediction of Hands and Feet Contact Efforts During Asymmetric Handling Tasks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2019.2913308
Abstract: This paper proposes a method to predict the external efforts exerted on a subject during handling tasks, only with a measure of his motion. These efforts are the contacts forces and moments on the ground… read more here.
Keywords: prediction hands; motion based; asymmetric handling; based prediction ... See more keywords
Letter to the editor in reference to: “A web‐based prediction score for head and neck cancer referrals”
Sign Up to like & getrecommendations! Published in 2019 at "Clinical Otolaryngology"
DOI: 10.1111/coa.13461
Abstract: We read with interest the article by Lau et al. (2018) on the design of a web-based prediction score for head and neck cancer (HNC) referrals. The authors state that there are no similar scoring… read more here.
Keywords: web based; score head; prediction score; head neck ... See more keywords