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INFLUÊNCIA DO BCG (BACILLUS CALMETTE-GUÉRIN) NA MATURAÇÃO DE CÉLULAS DENDRÍTICAS HUMANAS DIFERENCIADAS A PARTIR DE MONÓCITOS

Hematology, Transfusion and Cell Therapy, 2021-10, Vol.43, p.S427-S427

2021

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INFLUÊNCIA DO BCG (BACILLUS CALMETTE-GUÉRIN) NA MATURAÇÃO DE CÉLULAS DENDRÍTICAS HUMANAS DIFERENCIADAS A PARTIR DE MONÓCITOS

Hematology, Transfusion and Cell Therapy, 2021-10, Vol.43, p.S427

2021

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Bacillus thuringiensis isolates entomopathogenic for Culex quinquefasciatus (Diptera: Culicidae) and Anticarsia gemmatalis (Lepidoptera: Noctuidae)

Brazilian journal of biology, 2010-11, Vol.70 (4), p.1039-1046

2010

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Potential of Metarhizium anisopliae (Metsch.) Sorokin (Ascomycetes, hypocreales) in the control of Bonagota salubricola (Meyrick) (Lepidoptera, Tortricidae) and its compatibility with chemical insecticides

Brazilian journal of biology, 2010-11, Vol.70 (4), p.931-936

2010

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Aucula magnifica (Schaus, 1904) (Lepidoptera: Noctuidae: Agaristinae): morphology of egg and last instar larvae

Brazilian journal of biology, 2010-05, Vol.70 (2), p.373-380

2010

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Biotic potential and reproductive parameters of Spodoptera eridania (Stoll) (Lepidoptera, Noctuidae) in the laboratory

Revista Brasileira de Entomologia, 2013-09, Vol.57 (3), p.340-345

2013

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Pathogenicity of four strains of entomopathogenic fungi against the bovine tick Boophilus microplus

American journal of veterinary research, 2001-09, Vol.62 (9), p.1478-1480

2001

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Characterization of Nomuraea rileyi strains using polymorphic DNA, virulence and enzyme activity

Brazilian Archives of Biology and Technology, 2003-01, Vol.46 (1), p.13-19

2003

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LC50 of the Peptide Produced by the Entomopathogenic Fungus Nomuraea rileyi (Farlow) Samson Active Against Third Instar Larvae of Anticarsia gemmatalis (Lep.: Noctuidae)

Brazilian Archives of Biology and Technology, 2002-09, Vol.45 (3), p.269-275

2002

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Aucula magnifica (Schaus, 1904) (Lepidoptera: Noctuidae: Agaristinae): morphology of egg and last instar larvae Aucula magnifica (Schaus, 1904) (Lepidoptera: Noctuidae: Agaristinae): morfologia do ovo e da larva de último ínstar

Brazilian journal of biology, 2010-05, Vol.70 (2), p.373-380

2010

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Agglutination of Enzyme Treated Erythrocytes by Brazilian Marine Algal Extracts

Botanica marina, 1992, Vol.35 (6)

1992

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Hierarchical modeling of molecular energies using a deep neural network

The Journal of chemical physics, 2018-06, Vol.148 (24), p.241715-241715

2018

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Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning

Nature communications, 2019-07, Vol.10 (1), p.2903-8, Article 2903

2019

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Learning molecular energies using localized graph kernels

The Journal of chemical physics, 2017-03, Vol.146 (11), p.114107-114107

2017

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Automated discovery of a robust interatomic potential for aluminum

Nature communications, 2021-02, Vol.12 (1), p.1257-1257, Article 1257

2021

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Machine Learning Predicts Laboratory Earthquakes

Geophysical research letters, 2017-09, Vol.44 (18), p.9276-9282

2017

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Gradient-based stochastic estimation of the density matrix

The Journal of chemical physics, 2018-03, Vol.148 (9)

2018

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Vortex Crystals with Chiral Stripes in Itinerant Magnets

Journal of the Physical Society of Japan, 2016-10, Vol.85 (10), p.103703

2016

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Fast and scalable quantum Monte Carlo simulations of electron-phonon models

Physical review. E, 2022-06, Vol.105 (6), Article 065302

2022

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Deep learning of dynamically responsive chemical Hamiltonians with semiempirical quantum mechanics

Proceedings of the National Academy of Sciences - PNAS, 2022-07, Vol.119 (27), p.1-e2120333119

2022

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Machine Learning Framework for Modeling Exciton Polaritons in Molecular Materials

Journal of chemical theory and computation, 2024-01, Vol.20 (2), p.891-901

2024

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The Rise of Neural Networks for Materials and Chemical Dynamics

The journal of physical chemistry letters, 2021-07, Vol.12 (26), p.6227-6243

2021

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Transferable Dynamic Molecular Charge Assignment Using Deep Neural Networks

Journal of chemical theory and computation, 2018-09, Vol.14 (9), p.4687-4698

2018

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The ANI-1ccx and ANI-1x data sets, coupled-cluster and density functional theory properties for molecules

Scientific data, 2020-05, Vol.7 (1), p.134, Article 134

2020

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Discovering a Transferable Charge Assignment Model Using Machine Learning

The journal of physical chemistry letters, 2018-08, Vol.9 (16), p.4495-4501

2018

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INFLUÊNCIA DO BCG (BACILLUS CALMETTE-GUÉRIN) NA MATURAÇÃO DE CÉLULAS DENDRÍTICAS HUMANAS DIFERENCIADAS A PARTIR DE MONÓCITOS

INFLUÊNCIA DO BCG (BACILLUS CALMETTE-GUÉRIN) NA MATURAÇÃO DE CÉLULAS DENDRÍTICAS HUMANAS DIFERENCIADAS A PARTIR DE MONÓCITOS

Bacillus thuringiensis isolates entomopathogenic for Culex quinquefasciatus (Diptera: Culicidae) and Anticarsia gemmatalis (Lepidoptera: Noctuidae)

Potential of Metarhizium anisopliae (Metsch.) Sorokin (Ascomycetes, hypocreales) in the control of Bonagota salubricola (Meyrick) (Lepidoptera, Tortricidae) and its compatibility with chemical insecticides

Aucula magnifica (Schaus, 1904) (Lepidoptera: Noctuidae: Agaristinae): morphology of egg and last instar larvae

Biotic potential and reproductive parameters of Spodoptera eridania (Stoll) (Lepidoptera, Noctuidae) in the laboratory

Pathogenicity of four strains of entomopathogenic fungi against the bovine tick Boophilus microplus

Characterization of Nomuraea rileyi strains using polymorphic DNA, virulence and enzyme activity

LC50 of the Peptide Produced by the Entomopathogenic Fungus Nomuraea rileyi (Farlow) Samson Active Against Third Instar Larvae of Anticarsia gemmatalis (Lep.: Noctuidae)

Aucula magnifica (Schaus, 1904) (Lepidoptera: Noctuidae: Agaristinae): morphology of egg and last instar larvae Aucula magnifica (Schaus, 1904) (Lepidoptera: Noctuidae: Agaristinae): morfologia do ovo e da larva de último ínstar

Agglutination of Enzyme Treated Erythrocytes by Brazilian Marine Algal Extracts

Hierarchical modeling of molecular energies using a deep neural network

Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning

Learning molecular energies using localized graph kernels

Automated discovery of a robust interatomic potential for aluminum

Machine Learning Predicts Laboratory Earthquakes

Gradient-based stochastic estimation of the density matrix

Vortex Crystals with Chiral Stripes in Itinerant Magnets

Fast and scalable quantum Monte Carlo simulations of electron-phonon models

Deep learning of dynamically responsive chemical Hamiltonians with semiempirical quantum mechanics

Machine Learning Framework for Modeling Exciton Polaritons in Molecular Materials

The Rise of Neural Networks for Materials and Chemical Dynamics

Transferable Dynamic Molecular Charge Assignment Using Deep Neural Networks

The ANI-1ccx and ANI-1x data sets, coupled-cluster and density functional theory properties for molecules

Discovering a Transferable Charge Assignment Model Using Machine Learning

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