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Predicting Falls Among Older Persons Using Machine Learning

Canadian geriatrics journal CGJ, 2024-09, Vol.27 (3), p.386-386

2024

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Indirect Voltammetry Detection of Non-Electroactive Neurotransmitters Using Glassy Carbon Microelectrodes: The Case of Glutamate

C (Basel), 2024-09, Vol.10 (3), p.68

2024

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Rapid spectral parameter prediction for black hole X-ray binaries using physicalized autoencoders

Monthly notices of the Royal Astronomical Society, 2024-03, Vol.529 (2), p.1654-1666

2024

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High-spectral-resolution Observations of the Optical Filamentary Nebula Surrounding NGC 1275

The Astrophysical journal, 2024-02, Vol.962 (1), p.96

2024

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Reconstructing robust background integral field unit spectra using machine learning

RAS techniques and instruments, 2024-01, Vol.3 (1), p.234-246

2024

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Constraining the LyC escape fraction from LEGUS star clusters with SIGNALS H ii region observations: a pilot study of NGC 628

Monthly notices of the Royal Astronomical Society, 2023-07, Vol.524 (1), p.1191-1210

2023

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Extended line emission in the BCG of Abell 2390

Monthly notices of the Royal Astronomical Society, 2023-04, Vol.522 (1), p.1521-1534

2023

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Predicting the issuance of COVID-19 stay-at-home orders in Africa: Using machine learning to develop insight for health policy research

International journal of disaster risk reduction, 2023-04, Vol.88, p.103598-103598, Article 103598

2023

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Direct assessment of individual connotation and experience An introduction to cognitive-affective mapping

Politics and the life sciences, 2023-03, Vol.41 (1), p.131-139

2023

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Variability and drivers of CO2, CH4, and N2O concentrations in streams across the United States

Limnology and oceanography, 2023-02, Vol.68 (2), p.394-408

2023

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Variability and drivers of CO 2 , CH 4 , and N 2 O concentrations in streams across the United States

Limnology and oceanography, 2023-02, Vol.68 (2), p.394-408

2023

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A machine learning approach to galactic emission-line region classification

RAS techniques and instruments, 2023-01, Vol.2 (1), p.345-359

2023

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Direct assessment of individual connotation and experience

Politics and the life sciences, 2022-11, Vol.41 (1), p.131-139

2022

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Nanoengineered Granular Hydrogel Bioinks with Preserved Interconnected Microporosity for Extrusion Bioprinting (Small 37/2022)

Small (Weinheim an der Bergstrasse, Germany), 2022-09, Vol.18 (37), p.n/a

2022

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Nanoengineered Granular Hydrogel Bioinks with Preserved Interconnected Microporosity for Extrusion Bioprinting

Small (Weinheim an der Bergstrasse, Germany), 2022-09, Vol.18 (37), p.e2202390-n/a

2022

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An Assessment of the In Situ Growth of the Intracluster Light in the High-redshift Galaxy Cluster SpARCS1049+56

The Astrophysical journal, 2022-05, Vol.930 (1), p.25

2022

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Incorporation of near-real-time hospital occupancy data to improve hospitalization forecast accuracy during the COVID-19 pandemic

Infectious disease modelling, 2022-03, Vol.7 (1), p.277-285

2022

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Qualification of ELISA and neutralization methodologies to measure SARS-CoV-2 humoral immunity using human clinical samples

Journal of immunological methods, 2021-12, Vol.499, p.113160-113160, Article 113160

2021

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Updates to LUCI: A New Fitting Paradigm Using Mixture Density Networks

Research notes of the AAS, 2021-12, Vol.5 (12), p.276

2021

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A Machine-learning Approach to Integral Field Unit Spectroscopy Observations. III. Disentangling Multiple Components in H ii Regions

The Astrophysical journal, 2021-12, Vol.923 (2), p.169

2021

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Measuring attitudes as a complex systemStructured thinking and support for the Canadian carbon tax

Politics and the life sciences, 2021-11, Vol.40 (2), p.179-201

2021

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Measuring attitudes as a complex system: Structured thinking and support for the Canadian carbon tax

Politics and the life sciences, 2021-11, Vol.40 (2), p.179-201

2021

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LUCI: A Python Package for SITELLE Spectral Analysis

Research notes of the AAS, 2021-09, Vol.5 (9), p.208

2021

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A Data-driven Approach to X-Ray Spectral Fitting: Quasi-deconvolution

Research notes of the AAS, 2021-05, Vol.5 (5), p.113

2021

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A Machine-learning Approach to Integral Field Unit Spectroscopy Observations. II. H ii Region Line Ratios

The Astrophysical journal, 2021-04, Vol.910 (2), p.129

2021

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Predicting Falls Among Older Persons Using Machine Learning

Indirect Voltammetry Detection of Non-Electroactive Neurotransmitters Using Glassy Carbon Microelectrodes: The Case of Glutamate

Rapid spectral parameter prediction for black hole X-ray binaries using physicalized autoencoders

High-spectral-resolution Observations of the Optical Filamentary Nebula Surrounding NGC 1275

Reconstructing robust background integral field unit spectra using machine learning

Constraining the LyC escape fraction from LEGUS star clusters with SIGNALS H ii region observations: a pilot study of NGC 628

Extended line emission in the BCG of Abell 2390

Predicting the issuance of COVID-19 stay-at-home orders in Africa: Using machine learning to develop insight for health policy research

Direct assessment of individual connotation and experience An introduction to cognitive-affective mapping

Variability and drivers of CO2, CH4, and N2O concentrations in streams across the United States

Variability and drivers of CO 2 , CH 4 , and N 2 O concentrations in streams across the United States

A machine learning approach to galactic emission-line region classification

Direct assessment of individual connotation and experience

Nanoengineered Granular Hydrogel Bioinks with Preserved Interconnected Microporosity for Extrusion Bioprinting (Small 37/2022)

Nanoengineered Granular Hydrogel Bioinks with Preserved Interconnected Microporosity for Extrusion Bioprinting

An Assessment of the In Situ Growth of the Intracluster Light in the High-redshift Galaxy Cluster SpARCS1049+56

Incorporation of near-real-time hospital occupancy data to improve hospitalization forecast accuracy during the COVID-19 pandemic

Qualification of ELISA and neutralization methodologies to measure SARS-CoV-2 humoral immunity using human clinical samples

Updates to LUCI: A New Fitting Paradigm Using Mixture Density Networks

A Machine-learning Approach to Integral Field Unit Spectroscopy Observations. III. Disentangling Multiple Components in H ii Regions

Measuring attitudes as a complex systemStructured thinking and support for the Canadian carbon tax

Measuring attitudes as a complex system: Structured thinking and support for the Canadian carbon tax

LUCI: A Python Package for SITELLE Spectral Analysis

A Data-driven Approach to X-Ray Spectral Fitting: Quasi-deconvolution

A Machine-learning Approach to Integral Field Unit Spectroscopy Observations. II. H ii Region Line Ratios

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