Zobrazeno 1 - 10
of 1 037
pro vyhledávání: '"G, Loyola"'
Autor:
C. Santoyo-Medina, I. Elorriaga Mínguez, I. Galán Cartañá, G. Loyola Sanmillán, I. Yéregui Prieto, R. Berriozabalgoitia Etxaniz, G. Yaya-Tur, N. Martínez-Lerín, E. Lacasa Andrade, M. Lordán Pujol, M. Janer i Cabo, S. Sánchez Pous, E.R. Meza-Murillo
Publikováno v:
Neurology Perspectives, Vol 4, Iss 2, Pp 100154- (2024)
Background: According to the literature, patients with multiple sclerosis (MS) are less active and show higher levels of sedentary behaviour than the general population of the same age range. This study aims to explore the impact of the COVID-19 pand
Externí odkaz:
https://doaj.org/article/011ca2b200b547648aaa033096161cb8
Autor:
P. F. Levelt, D. C. Stein Zweers, I. Aben, M. Bauwens, T. Borsdorff, I. De Smedt, H. J. Eskes, C. Lerot, D. G. Loyola, F. Romahn, T. Stavrakou, N. Theys, M. Van Roozendael, J. P. Veefkind, T. Verhoelst
Publikováno v:
Atmospheric Chemistry and Physics, Vol 22, Pp 10319-10351 (2022)
The aim of this paper is to highlight how TROPOspheric Monitoring Instrument (TROPOMI) trace gas data can best be used and interpreted to understand event-based impacts on air quality from regional to city scales around the globe. For this study, we
Externí odkaz:
https://doaj.org/article/333b8d03fbe6489485491cc6b7a0ecb9
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Human microbiome engineering is increasingly proposed as a way to modulate health outcomes. However, one of the current limitations to engineering microbial communities in situ is delivery of a genetic payload for introducing or modifying genes. Inde
Externí odkaz:
https://doaj.org/article/1262d3b7c18f49b0b032a66bb69d4a91
Publikováno v:
Atmospheric Chemistry and Physics, Vol 22, Pp 6861-6878 (2022)
We present an updated perspective on near-global total ozone trends for the period 1995–2020. We use the GOME-type (Global Ozone Monitoring Experiment) Total Ozone Essential Climate Variable (GTO-ECV) satellite data record which has been extended a
Externí odkaz:
https://doaj.org/article/e8dea3a56fed4ee393670a20bae4bc80
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6473-6484 (2022)
In this article, we present three algorithms for aerosol parameters retrieval from TROPOspheric Monitoring Instrument measurements in the $\text {O}_{2}$ A-band. These algorithms use neural networks 1) to emulate the radiative transfer model and a Ba
Externí odkaz:
https://doaj.org/article/d8fc6147e68541f3be53e4ba8c399396
Autor:
S. Liu, P. Valks, G. Pinardi, J. Xu, K. L. Chan, A. Argyrouli, R. Lutz, S. Beirle, E. Khorsandi, F. Baier, V. Huijnen, A. Bais, S. Donner, S. Dörner, M. Gratsea, F. Hendrick, D. Karagkiozidis, K. Lange, A. J. M. Piters, J. Remmers, A. Richter, M. Van Roozendael, T. Wagner, M. Wenig, D. G. Loyola
Publikováno v:
Atmospheric Measurement Techniques, Vol 14, Pp 7297-7327 (2021)
Launched in October 2017, the TROPOspheric Monitoring Instrument (TROPOMI) aboard Sentinel-5 Precursor provides the potential to monitor air quality over point sources across the globe with a spatial resolution as high as 5.5 km × 3.5 km (7 km × 3.
Externí odkaz:
https://doaj.org/article/25c54614be3d4a66bf7603d6aac8a46e
Autor:
Yeyetsy G. Ordóñez Azuara, Raúl F. Gutiérrez Herrera, Rogelio J. Correa Chapa, Luis G. Loyola Rosales, Maricruz J. Montelongo Rodríguez, José M. Ramírez Aranda
Publikováno v:
Atención Primaria, Vol 54, Iss 9, Pp 102426- (2022)
Externí odkaz:
https://doaj.org/article/13489d5dccc54606949bd4d611d7e538
Publikováno v:
Atmospheric Measurement Techniques, Vol 14, Pp 3673-3691 (2021)
Information about the height and loading of sulfur dioxide (SO2) plumes from volcanic eruptions is crucial for aviation safety and for assessing the effect of sulfate aerosols on climate. While SO2 layer height has been successfully retrieved from ba
Externí odkaz:
https://doaj.org/article/3450889af7db4b9fba2b6b83bac55679
Publikováno v:
Atmospheric Measurement Techniques, Vol 14, Pp 2993-3002 (2021)
In this paper, we discuss the method for validation of random uncertainties in the remote sensing measurements based on evaluation of the structure function, i.e., root-mean-square differences as a function of increasing spatiotemporal separation of
Externí odkaz:
https://doaj.org/article/3cf37f0974e7461b8240b6820853a314