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Giovanna Tranfo

affiliation not provided to SSRN

SCHOLARLY PAPERS

2

DOWNLOADS

211

TOTAL CITATIONS

0

Scholarly Papers (2)

1.

Guidance on Minimum Information Requirements (Mir) for Designing and Reporting Human Biomonitoring (Hbm) Studies

Number of pages: 54 Posted: 14 Mar 2025
affiliation not provided to SSRN, Institute of Occupational Medicine, Government of Canada - Health Canada, affiliation not provided to SSRN, Government of Canada - Health Canada, Government of Canada - Health Canada, Benaki Phytopathological Institute, Benaki Phytopathological Institute, Ruhr-University Bochum, Carlos III Health Institute, The Chinese University of Hong Kong (CUHK), affiliation not provided to SSRN, affiliation not provided to SSRN, University of Antwerp, Hokkaido University, University of Granada, Government of the Swiss Confederation - Swiss Federal Office of Public Health, Universidade Nova de Lisboa, Universidade Nova de Lisboa, Finnish Institute of Occupational Health, affiliation not provided to SSRN, Carlos III Health Institute, Johns Hopkins University, Yale University, Department of Chemical & Environmental Engineering, Yale University, University of Lisbon, Radboud University Nijmegen - Radboud University Medical Center, University of Granada, Carlos III Health Institute, affiliation not provided to SSRN, affiliation not provided to SSRN, UK Health Security Agency, UK Health Security Agency, Friedrich-Alexander-Universität Erlangen-Nürnberg, KU Leuven, University of Milan - Department of Clinical Sciences and Community Health, Norwegian Institute of Public Health, Korea University, Michigan State University, University of Tokyo, Nagoya City University, Nanjing Medical University - School of Public Health, National Institute for Environmental Studies - Center for Health and Environmental Risk Research, Cyprus University of Technology - Cyprus International Institute for Environmental and Public Health, New York State Department of Health, affiliation not provided to SSRN, affiliation not provided to SSRN, Norwegian Institute for Air Research, affiliation not provided to SSRN, China Medical University - National Health Laboratory, Moulay Ismail University, affiliation not provided to SSRN, KU Leuven, China Medical University - National Health Laboratory, IIT Hyderabad, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, NILU, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Wageningen University and Research (WUR) - Wageningen Food Safety Research, affiliation not provided to SSRN, affiliation not provided to SSRN, Universiti Sains Malaysia (USM), University College Dublin (UCD), Massachusetts College of Pharmacy and Health Sciences, affiliation not provided to SSRN, National Health Research Institutes, National Institute of Environmental Research,, affiliation not provided to SSRN, affiliation not provided to SSRN, Tehran University of Medical Sciences, Örebro University - MTM Research Centre, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Kentucky - School of Public Health and affiliation not provided to SSRN
Downloads 176 (433,279)

Abstract:

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Harmonization, FAIR, Metadata requirements, Contextual information, Chemical monitoring, exposome

Ultrahigh-Sensitive and Real-Time Detection of Btxs for Occupational Safety Via Infrared Spectroscopy Coupled with Machine Learning Technique

Number of pages: 17 Posted: 12 Nov 2024
Sapienza University of Rome, affiliation not provided to SSRN, Sapienza University of Rome, Sapienza University of Rome, Sapienza University of Rome, Beijing Science Star Technology Co. Ltd, affiliation not provided to SSRN, affiliation not provided to SSRN, Roma Tre University, Sapienza University of Rome and Sapienza University of Rome
Downloads 18 (1,537,408)

Abstract:

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volatile organic compounds, gas sensing, IR spectroscopy, multipass gas cell, styrene, BTXs, machine learning.

Ultrahigh-Sensitive and Real-Time Detection of Btxs for Occupational Safety Via Infrared Spectroscopy Coupled with Machine Learning Technique

Number of pages: 17 Posted: 16 Dec 2024
Sapienza University of Rome, affiliation not provided to SSRN, Sapienza University of Rome, Sapienza University of Rome, Sapienza University of Rome, Beijing Science Star Technology Co. Ltd, affiliation not provided to SSRN, affiliation not provided to SSRN, Roma Tre University, Sapienza University of Rome and Sapienza University of Rome
Downloads 17 (1,548,841)

Abstract:

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Volatile organic compounds, gas sensing, IR spectroscopy, multipass gas cell, styrene, BTXs, machine learning.