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Morphology and muscle gene expression in GIFT and Supreme Nile tilapia varieties reared in two cultivation systems

Genetics and molecular research, 2017-03, Vol.16 (1)

2017

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Detection of Epstein-Barr virus sequences in Hodgkin's disease by the polymerase chain reaction

The American journal of pathology, 1991-08, Vol.139 (2), p.393-398

1991

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Nonparasitic splenic cysts: a report of 52 cases with radiologic-pathologic correlation

American journal of roentgenology (1976), 1986-09, Vol.147 (3), p.537-542

1986

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Hepatocellular carcinoma in young people

Cancer, 1983-10, Vol.52 (8), p.1516-1525

1983

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Hemangioma of the spleen: radiologic-pathologic correlation in ten cases

Radiology, 1987-01, Vol.162 (1 Pt 1), p.73-77

1987

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Conservation in the Amazon rainforest and Google searches: A DCCA approach

PloS one, 2022-10, Vol.17 (10), p.e0276675

2022

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On the transfer of adaptive predictors between different devices for both mitigation and prevention of disruptions

Nuclear fusion, 2020-05, Vol.60 (5), p.56003

2020

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Summary report of the 4th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis (FDPVA)

Nuclear fusion, 2023-04, Vol.63 (4), p.47001

2023

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Spray pyrolysis-derived robust ferroelectric BiFeO3 thin films

Physical chemistry chemical physics : PCCP, 2023-08, Vol.25 (33), p.22286-22293

2023

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Spray pyrolysis-derived robust ferroelectric BiFeO 3 thin films

Physical chemistry chemical physics : PCCP, 2023-08, Vol.25 (33), p.22286-22293

2023

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A machine learning approach based on generative topographic mapping for disruption prevention and avoidance at JET

Nuclear fusion, 2019-10, Vol.59 (10), p.106017

2019

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Data driven theory for knowledge discovery in the exact sciences with applications to thermonuclear fusion

Scientific reports, 2020-11, Vol.10 (1), p.19858-19858, Article 19858

2020

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Compact x-ray source based on burst-mode inverse Compton scattering at 100 kHz

Physical review special topics. PRST-AB. Accelerators and beams, 2014-12, Vol.17 (12), p.120701, Article 120701

2014

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Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET

Nuclear fusion, 2018-03, Vol.58 (5), p.56002

2018

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Adaptive learning for disruption prediction in non-stationary conditions

Nuclear fusion, 2019-07, Vol.59 (8), p.86037

2019

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Further investigations towards luminescence dating of diatoms

Radiation measurements, 2022-08, Vol.156, p.106803, Article 106803

2022

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Performance analysis of the centroid method predictor implemented in the JET real time network

Plasma physics and controlled fusion, 2022-11, Vol.64 (11), p.114003

2022

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Spray pyrolysis-derived robust ferroelectric BiFeO thin films

Physical chemistry chemical physics : PCCP, 2023-08, Vol.25 (33), p.22286-22293

2023

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Economics of salt-induced land degradation and restoration

Natural resources forum, 2014-11, Vol.38 (4), p.282-295

2014

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An advanced disruption predictor for JET tested in a simulated real-time environment

Nuclear fusion, 2010-02, Vol.50 (2), p.25005

2010

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Upgrades to the XAFS2 beamline control system and to the endstation at the LNLS

Journal of physics. Conference series, 2016-05, Vol.712 (1), p.12022

2016

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Clustering based on the geodesic distance on Gaussian manifolds for the automatic classification of disruptions

Nuclear fusion, 2013-03, Vol.53 (3), p.33006

2013

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On the effects of missing chords and systematic errors on a new tomographic method for JET bolometry

Fusion engineering and design, 2019-09, Vol.146, p.2124-2129

2019

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UMEL: A new regression tool to identify measurement peaks in LIDAR/DIAL systems for environmental physics applications

Review of scientific instruments, 2014-06, Vol.85 (6)

2014

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An alternative approach to the determination of scaling law expressions for the L-H transition in Tokamaks utilizing classification tools instead of regression

Plasma physics and controlled fusion, 2014-11, Vol.56 (11), p.114002-12

2014

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Morphology and muscle gene expression in GIFT and Supreme Nile tilapia varieties reared in two cultivation systems

Detection of Epstein-Barr virus sequences in Hodgkin's disease by the polymerase chain reaction

Nonparasitic splenic cysts: a report of 52 cases with radiologic-pathologic correlation

Hepatocellular carcinoma in young people

Hemangioma of the spleen: radiologic-pathologic correlation in ten cases

Conservation in the Amazon rainforest and Google searches: A DCCA approach

On the transfer of adaptive predictors between different devices for both mitigation and prevention of disruptions

Summary report of the 4th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis (FDPVA)

Spray pyrolysis-derived robust ferroelectric BiFeO3 thin films

Spray pyrolysis-derived robust ferroelectric BiFeO 3 thin films

A machine learning approach based on generative topographic mapping for disruption prevention and avoidance at JET

Data driven theory for knowledge discovery in the exact sciences with applications to thermonuclear fusion

Compact x-ray source based on burst-mode inverse Compton scattering at 100 kHz

Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET

Adaptive learning for disruption prediction in non-stationary conditions

Further investigations towards luminescence dating of diatoms

Performance analysis of the centroid method predictor implemented in the JET real time network

Spray pyrolysis-derived robust ferroelectric BiFeO thin films

Economics of salt-induced land degradation and restoration

An advanced disruption predictor for JET tested in a simulated real-time environment

Upgrades to the XAFS2 beamline control system and to the endstation at the LNLS

Clustering based on the geodesic distance on Gaussian manifolds for the automatic classification of disruptions

On the effects of missing chords and systematic errors on a new tomographic method for JET bolometry

UMEL: A new regression tool to identify measurement peaks in LIDAR/DIAL systems for environmental physics applications

An alternative approach to the determination of scaling law expressions for the L-H transition in Tokamaks utilizing classification tools instead of regression

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