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Using atmospheric observations to quantify annual biogenic carbon dioxide fluxes on the Alaska North Slope
Using atmospheric observations to quantify annual biogenic carbon dioxide fluxes on the Alaska North Slope
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Using atmospheric observations to quantify annual biogenic carbon dioxide fluxes on the Alaska North Slope

Schiferl, Luke D ; Watts, Jennifer D ; Larson, Erik J. L ; Arndt, Kyle A ; Biraud, Sébastien C ; Euskirchen, Eugénie S ; Goodrich, Jordan P ; Henderson, John M ; Kalhori, Aram ; McKain, Kathryn ; Mountain, Marikate E ; Munger, J. William ; Oechel, Walter C ; Sweeney, Colm ; Yi, Yonghong ; Zona, Donatella ; Commane, Róisín

Biogeosciences, 2022-12, Vol.19 (24), p.5953-5972 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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2
Potential and limitations of inferring ecosystem photosynthetic capacity from leaf functional traits
Potential and limitations of inferring ecosystem photosynthetic capacity from leaf functional traits
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Potential and limitations of inferring ecosystem photosynthetic capacity from leaf functional traits

Musavi, Talie ; Migliavacca, Mirco ; Weg, Martine Janet ; Kattge, Jens ; Wohlfahrt, Georg ; Bodegom, Peter M. ; Reichstein, Markus ; Bahn, Michael ; Carrara, Arnaud ; Domingues, Tomas F. ; Gavazzi, Michael ; Gianelle, Damiano ; Gimeno, Cristina ; Granier, André ; Gruening, Carsten ; Havránková, Kateřina ; Herbst, Mathias ; Hrynkiw, Charmaine ; Kalhori, Aram ; Kaminski, Thomas ; Klumpp, Katja ; Kolari, Pasi ; Longdoz, Bernard ; Minerbi, Stefano ; Montagnani, Leonardo ; Moors, Eddy ; Oechel, Walter C. ; Reich, Peter B. ; Rohatyn, Shani ; Rossi, Alessandra ; Rotenberg, Eyal ; Varlagin, Andrej ; Wilkinson, Matthew ; Wirth, Christian ; Mahecha, Miguel D.

Ecology and evolution, 2016-10, Vol.6 (20), p.7352-7366 [Periódico revisado por pares]

England: John Wiley & Sons, Inc

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3
Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study
Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study
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Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study

Ayyoubzadeh, Seyed Mohammad ; Ayyoubzadeh, Seyed Mehdi ; Zahedi, Hoda ; Ahmadi, Mahnaz ; R Niakan Kalhori, Sharareh

JMIR public health and surveillance, 2020-04, Vol.6 (2), p.e18828-e18828 [Periódico revisado por pares]

Canada: JMIR Publications

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4
Effectiveness of Artificial Intelligence for Personalized Medicine in Neoplasms: A Systematic Review
Effectiveness of Artificial Intelligence for Personalized Medicine in Neoplasms: A Systematic Review
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Effectiveness of Artificial Intelligence for Personalized Medicine in Neoplasms: A Systematic Review

Rezayi, Sorayya ; R Niakan Kalhori, Sharareh ; Saeedi, Soheila McClellan, David A. ; David A McClellan

BioMed research international, 2022-04, Vol.2022, p.7842566-34 [Periódico revisado por pares]

United States: Hindawi

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5
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques
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MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques

Saeedi, Soheila ; Rezayi, Sorayya ; Keshavarz, Hamidreza ; R Niakan Kalhori, Sharareh

BMC medical informatics and decision making, 2023-01, Vol.23 (1), p.16-16, Article 16 [Periódico revisado por pares]

England: BioMed Central Ltd

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6
Mobile-Based and Cloud-Based System for Self-management of People With Type 2 Diabetes: Development and Usability Evaluation
Mobile-Based and Cloud-Based System for Self-management of People With Type 2 Diabetes: Development and Usability Evaluation
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Mobile-Based and Cloud-Based System for Self-management of People With Type 2 Diabetes: Development and Usability Evaluation

Salari, Raheleh ; R Niakan Kalhori, Sharareh ; GhaziSaeedi, Marjan ; Jeddi, Marjan ; Nazari, Mahin ; Fatehi, Farhad

Journal of medical Internet research, 2021-06, Vol.23 (6), p.e18167-e18167 [Periódico revisado por pares]

Toronto: Gunther Eysenbach MD MPH, Associate Professor

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7
Digital Health Solutions to Control the COVID-19 Pandemic in Countries With High Disease Prevalence: Literature Review
Digital Health Solutions to Control the COVID-19 Pandemic in Countries With High Disease Prevalence: Literature Review
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Digital Health Solutions to Control the COVID-19 Pandemic in Countries With High Disease Prevalence: Literature Review

R Niakan Kalhori, Sharareh ; Bahaadinbeigy, Kambiz ; Deldar, Kolsoum ; Gholamzadeh, Marsa ; Hajesmaeel-Gohari, Sadrieh ; Ayyoubzadeh, Seyed Mohammad

Journal of medical Internet research, 2021-03, Vol.23 (3), p.e19473-e19473 [Periódico revisado por pares]

Canada: JMIR Publications

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8
Personalized Mobile Health for Elderly Home Care: A Systematic Review of Benefits and Challenges
Personalized Mobile Health for Elderly Home Care: A Systematic Review of Benefits and Challenges
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Personalized Mobile Health for Elderly Home Care: A Systematic Review of Benefits and Challenges

Pahlevanynejad, Shahrbanoo ; Niakan Kalhori, Sharareh R. ; Katigari, Meysam Rahmani ; Eshpala, Rahil Hosseini Tsiknakis, Manolis ; Manolis Tsiknakis

International journal of telemedicine and applications, 2023-01, Vol.2023, p.5390712-10 [Periódico revisado por pares]

Egypt: Hindawi

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9
Determination of trace amount of iron cations using electrochemical methods at N, S doped GQD modified electrode
Determination of trace amount of iron cations using electrochemical methods at N, S doped GQD modified electrode
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Determination of trace amount of iron cations using electrochemical methods at N, S doped GQD modified electrode

Kalhori, S ; Ahour, F ; Aurang, P

Scientific reports, 2023-01, Vol.13 (1), p.1557-1557, Article 1557 [Periódico revisado por pares]

England: Nature Publishing Group

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10
A protocol for a systematic review of electronic early warning/track-and-trigger systems (EW/TTS) to predict clinical deterioration: Focus on automated features, technologies, and algorithms
A protocol for a systematic review of electronic early warning/track-and-trigger systems (EW/TTS) to predict clinical deterioration: Focus on automated features, technologies, and algorithms
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A protocol for a systematic review of electronic early warning/track-and-trigger systems (EW/TTS) to predict clinical deterioration: Focus on automated features, technologies, and algorithms

Rostam Niakan Kalhori, Sharareh ; Deserno, Thomas M ; Haghi, Mostafa ; Ganapathy, Nagarajan Sikkandar, Mohamed Yacin

PloS one, 2023-03, Vol.18 (3), p.e0283010-e0283010 [Periódico revisado por pares]

United States: Public Library of Science

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