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1.
Machine-Learning-Based Prediction of Plant Cuticle-Air Partition Coefficients for Organic Pollutants: Revealing Mechanisms from a Molecular Structure Perspective.
Molecules
; 29(6)2024 Mar 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-38543017
2.
Effect of sewage sludge amendment on heavy metal uptake and yield of ryegrass seedling in a mudflat soil.
J Environ Qual
; 42(2): 421-8, 2013.
Artículo
en Inglés
| MEDLINE | ID: mdl-23673834
3.
A comprehensive evaluation of liposome/water partition coefficient prediction models based on the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method: Challenges from different descriptor dimension reduction methods and machine learning algorithms.
J Hazard Mater
; 443(Pt A): 130181, 2023 Feb 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-36257111
4.
Contribution of molecular structures and quantum chemistry technique to root concentration factor: An innovative application of interpretable machine learning.
J Hazard Mater
; 459: 132320, 2023 Oct 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-37604035
5.
A de novo evolved gene contributes to rice grain shape difference between indica and japonica.
Nat Commun
; 14(1): 5906, 2023 09 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-37737275
6.
Versatile in silico modeling of XAD-air partition coefficients for POPs based on abraham descriptor and temperature.
Environ Pollut
; 311: 119857, 2022 Oct 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-35944777
7.
Genetic and molecular factors in determining grain number per panicle of rice.
Front Plant Sci
; 13: 964246, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35991390
8.
Nucleotide polymorphisms of the maize ZmFWL7 gene and their association with ear-related traits.
Front Genet
; 13: 960529, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-36035151
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