Modeling and Predicting RNA Three-Dimensional Structures.
Sign Up to like & getrecommendations! Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-1307-8_2
Abstract: Modeling the three-dimensional structure of RNAs is a milestone toward better understanding and prediction of nucleic acids molecular functions. Physics-based approaches and molecular dynamics simulations are not tractable on large molecules with all-atom models. To… read more here.
Keywords: three dimensional; modeling predicting; rna three; structure ... See more keywords
Modeling and predicting the user next input by Bayesian reasoning
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-1870-7
Abstract: We focus on enhancing the user experience by predicting entries when a form is filled, according to past interactions. The purpose of having a predictive model of form filling is to reduce the amount of… read more here.
Keywords: user next; modeling predicting; predicting user; next input ... See more keywords
Mesoscale Numerical Modeling for Predicting Wear Debris Generation
Sign Up to like & getrecommendations! Published in 2019 at "Tribology Letters"
DOI: 10.1007/s11249-019-1150-2
Abstract: With the development of debris detection techniques, wear debris has become a powerful indicator for wear conditions monitoring of engineering machines. However, there is still a lack of effective method for predicting the generation of… read more here.
Keywords: modeling predicting; wear debris; generation; numerical modeling ... See more keywords
Modeling and Predicting the Activities of Trans-Acting Splicing Factors with Machine Learning.
Sign Up to like & getrecommendations! Published in 2018 at "Cell systems"
DOI: 10.1016/j.cels.2018.09.002
Abstract: Alternative splicing (AS) is generally regulated by trans-splicing factors that specifically bind to cis-elements in pre-mRNAs. The human genome encodes ∼1,500 RNA binding proteins (RBPs) that potentially regulate AS, yet their functions remain largely unknown.… read more here.
Keywords: machine learning; modeling predicting; activities trans; splicing factors ... See more keywords
Machine learning modeling for predicting adherence to physical activity guideline
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-025-90077-1
Abstract: This study aims to create predictive models for PA guidelines by using ML and examine the critical determinants influencing adherence to the PA guidelines. 11,638 entries from the National Health and Nutrition Examination Survey were… read more here.
Keywords: predicting adherence; machine learning; physical activity; learning modeling ... See more keywords
The application of artificial neural networks in modeling and predicting the effects of melatonin on morphological responses of citrus to drought stress
Sign Up to like & getrecommendations! Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0240427
Abstract: Drought stress as one of the most devastating abiotic stresses affects agricultural and horticultural productivity in many parts of the world. The application of melatonin can be considered as a promising approach for alleviating the… read more here.
Keywords: modeling predicting; morphological responses; citrus drought; stress ... See more keywords
Reservoir computing for modeling and predicting stream chemistry
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2025.213
Abstract: This paper explores the use of Echo State Networks (ESNs), a subset of reservoir computing, in modeling and predicting streamflow variability with a focus on biogeochemical patterns. Multiple ESNs were tested alongside a comparable long… read more here.
Keywords: chemistry; predicting stream; reservoir computing; stream chemistry ... See more keywords
Modeling for Predicting the Potential Geographical Distribution of Three Ephedra Herbs in China
Sign Up to like & getrecommendations! Published in 2023 at "Plants"
DOI: 10.3390/plants12040787
Abstract: Ephedra species are beneficial for environmental protection in desert and grassland ecosystems. They have high ecological, medicinal, and economic value. To strengthen the protection of the sustainable development of Ephedra, we used occurrence records of… read more here.
Keywords: modeling predicting; distribution; intermedia equisetina; ephedra ... See more keywords