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Machine-Learning-Based Prediction of Plant Cuticle-Air Partition Coefficients for Organic Pollutants: Revealing Mechanisms from a Molecular Structure Perspective

Molecules (Basel, Switzerland), 2024-03, Vol.29 (6), p.1381

2024

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Prediction models with multiple machine learning algorithms for POPs: The calculation of PDMS-air partition coefficient from molecular descriptor

Journal of hazardous materials, 2022-02, Vol.423 (Pt B), p.127037-127037, Article 127037

2022

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Transgenic Ectopic Overexpression of Broad Complex (BrC-Z2) in the Silk Gland Inhibits the Expression of Silk Fibroin Genes of Bombyx mori

Insects (Basel, Switzerland), 2020-06, Vol.11 (6), p.374

2020

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Prediction of organic contaminant rejection by nanofiltration and reverse osmosis membranes using interpretable machine learning models

The Science of the total environment, 2023-01, Vol.857, p.159348-159348, Article 159348

2023

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Multiple machine learning algorithms assisted QSPR models for aqueous solubility: Comprehensive assessment with CRITIC-TOPSIS

The Science of the total environment, 2023-01, Vol.857, p.159448-159448, Article 159448

2023

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Versatile in silico modelling of microplastics adsorption capacity in aqueous environment based on molecular descriptor and machine learning

The Science of the total environment, 2022-11, Vol.846, p.157455-157455, Article 157455

2022

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Contribution of molecular structures and quantum chemistry technique to root concentration factor: An innovative application of interpretable machine learning

Journal of hazardous materials, 2023-10, Vol.459, p.132320-132320, Article 132320

2023

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A new perspective on predicting the reaction rate constants of hydrated electrons for organic contaminants: Exploring molecular structure characterization methods and ambient conditions

The Science of the total environment, 2023-12, Vol.904, p.166316-166316, Article 166316

2023

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Toward better atmospheric polycyclic aromatic hydrocarbons pollution control in the Northern Hemisphere: Process analysis based on interpretable deep learning models

Journal of cleaner production, 2024-06, Vol.457, p.142442, Article 142442

2024

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Sage controls silk gland development by regulating Dfd in Bombyx mori

Insect biochemistry and molecular biology, 2021-05, Vol.132, p.103568-103568, Article 103568

2021

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Integrating molecular descriptors for enhanced prediction: Shedding light on the potential of pH to model hydrated electron reaction rates for organic compounds

Chemosphere (Oxford), 2024-02, Vol.349, p.140984-140984, Article 140984

2024

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Versatile in silico modeling of XAD-air partition coefficients for POPs based on abraham descriptor and temperature

Environmental pollution (1987), 2022-10, Vol.311, p.119857-119857, Article 119857

2022

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Understanding the mechanism of microplastic-associated antibiotic resistance genes in aquatic ecosystems: Insights from metagenomic analyses and machine learning

Water research (Oxford), 2025-01, Vol.268 (Pt A), p.122570, Article 122570

2025

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An innovative method for predicting oxidation reaction rate constants by extracting vital information of organic contaminants (OCs) based on diverse molecular representations

Journal of environmental chemical engineering, 2024-04, Vol.12 (2), p.112473, Article 112473

2024

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PI3K-Akt-SGF1-Dimm pathway mediates the nutritional regulation of silk protein synthesis in Bombyx mori

International journal of biological macromolecules, 2024-10, Vol.278 (Pt 2), p.134650, Article 134650

2024

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Broad Complex-Z2 directly activates BmMBF2 to inhibit the silk protein synthesis in the silkworm, Bombyx mori

International journal of biological macromolecules, 2024-10, Vol.277 (Pt 3), p.134211, Article 134211

2024

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Assessment of organic micropollutants rejection by forward osmosis system using interpretable machine learning-assisted approach: A new perspective on optimization of multifactorial forward osmosis process

Journal of environmental chemical engineering, 2023-10, Vol.11 (5), p.110847, Article 110847

2023

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Influencing Factors Research of Phenol Wastewater Treatment by Cathode Electro-Fenton Method

Applied Informatics and Communication, 2011, p.726-733

2011

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Bmgsb is involved in the determination of cell fate by affecting the cell cycle genes in the silk gland of Bombyx mori

International journal of biological macromolecules, Article 136914

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Unsuccessful letter-sound integration in English reading by native Chinese speakers： evidence from an event related potentials study

Science bulletin (Beijing), 2016-12, Vol.61 (24), p.1855-1864

2016

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N-doped porous graphene for carbon dioxide separation： a molecular dynamics study

Chinese science bulletin, 2014-10, Vol.59 (29), p.3919-3925

2014

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Loss-induced nonreciprocity

Light, science & applications, 2021-02, Vol.10 (1), p.30-30, Article 30

2021

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A Meta-Analysis on the Relation Between Reading and Working Memory

Psychological bulletin, 2018-01, Vol.144 (1), p.48-76

2018

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Remimazolam inhibits postoperative cognitive impairment after cardiopulmonary bypass by alleviating neuroinflammation and promoting microglia M2 polarization

Brain research, 2024-09, Vol.1838, p.148975, Article 148975

2024

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Crossover between Anti- and Pro-oxidant Activities of Graphene Quantum Dots in the Absence or Presence of Light

ACS nano, 2016-09, Vol.10 (9), p.8690-8699

2016

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Machine-Learning-Based Prediction of Plant Cuticle-Air Partition Coefficients for Organic Pollutants: Revealing Mechanisms from a Molecular Structure Perspective

Prediction models with multiple machine learning algorithms for POPs: The calculation of PDMS-air partition coefficient from molecular descriptor

Transgenic Ectopic Overexpression of Broad Complex (BrC-Z2) in the Silk Gland Inhibits the Expression of Silk Fibroin Genes of Bombyx mori

Prediction of organic contaminant rejection by nanofiltration and reverse osmosis membranes using interpretable machine learning models

Multiple machine learning algorithms assisted QSPR models for aqueous solubility: Comprehensive assessment with CRITIC-TOPSIS

Versatile in silico modelling of microplastics adsorption capacity in aqueous environment based on molecular descriptor and machine learning

Contribution of molecular structures and quantum chemistry technique to root concentration factor: An innovative application of interpretable machine learning

A new perspective on predicting the reaction rate constants of hydrated electrons for organic contaminants: Exploring molecular structure characterization methods and ambient conditions

Toward better atmospheric polycyclic aromatic hydrocarbons pollution control in the Northern Hemisphere: Process analysis based on interpretable deep learning models

Sage controls silk gland development by regulating Dfd in Bombyx mori

Integrating molecular descriptors for enhanced prediction: Shedding light on the potential of pH to model hydrated electron reaction rates for organic compounds

Versatile in silico modeling of XAD-air partition coefficients for POPs based on abraham descriptor and temperature

Understanding the mechanism of microplastic-associated antibiotic resistance genes in aquatic ecosystems: Insights from metagenomic analyses and machine learning

An innovative method for predicting oxidation reaction rate constants by extracting vital information of organic contaminants (OCs) based on diverse molecular representations

PI3K-Akt-SGF1-Dimm pathway mediates the nutritional regulation of silk protein synthesis in Bombyx mori

Broad Complex-Z2 directly activates BmMBF2 to inhibit the silk protein synthesis in the silkworm, Bombyx mori

Assessment of organic micropollutants rejection by forward osmosis system using interpretable machine learning-assisted approach: A new perspective on optimization of multifactorial forward osmosis process

Influencing Factors Research of Phenol Wastewater Treatment by Cathode Electro-Fenton Method

Bmgsb is involved in the determination of cell fate by affecting the cell cycle genes in the silk gland of Bombyx mori

Unsuccessful letter-sound integration in English reading by native Chinese speakers： evidence from an event related potentials study

N-doped porous graphene for carbon dioxide separation： a molecular dynamics study

Loss-induced nonreciprocity

A Meta-Analysis on the Relation Between Reading and Working Memory

Remimazolam inhibits postoperative cognitive impairment after cardiopulmonary bypass by alleviating neuroinflammation and promoting microglia M2 polarization

Crossover between Anti- and Pro-oxidant Activities of Graphene Quantum Dots in the Absence or Presence of Light

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