Zobrazeno 1 - 10
of 861
pro vyhledávání: '"J. Ballester"'
Autor:
A. Lacima, H. Petetin, A. Soret, D. Bowdalo, O. Jorba, Z. Chen, R. F. Méndez Turrubiates, H. Achebak, J. Ballester, C. Pérez García-Pando
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 2689-2718 (2023)
Over the last century, our societies have experienced a sharp increase in urban population and fossil-fuelled transportation, turning air pollution into a critical issue. It is therefore key to accurately characterize the spatiotemporal variability o
Externí odkaz:
https://doaj.org/article/057318958874452cb2fed27f382b86b1
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 21, Pp 375-391 (2021)
Trends of extreme-temperature episodes in cities are increasing (in frequency, magnitude and duration) due to regional climate change in interaction with urban effects. Urban morphologies and thermal properties of the materials used to build them are
Externí odkaz:
https://doaj.org/article/39197fb3130c4dabb5dc5cc7519ee3a1
Autor:
A. Bataller Català, J. Ballester Roca
Publikováno v:
Red U, Vol 17, Iss 1, Pp 153-165 (2019)
We address the challenges of adult literacy in an American context from a European perspective. We focus on the context of adult education in Peru, a country with a great cultural and linguistic diversity, based on the interaction produced with a hun
Externí odkaz:
https://doaj.org/article/0070c1f585dd446ba97b43b3b6e67b02
Publikováno v:
Geoscientific Model Development, Vol 9, Iss 12, Pp 4439-4450 (2016)
As most of the population lives in urban environments, the simulation of the urban climate has become a key problem in the framework of the climate change impact assessment. However, the high computational power required by high-resolution (sub-kilom
Externí odkaz:
https://doaj.org/article/dd5dd10374a24ac8a3f3afbb354720f8
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-17 (2024)
Abstract Poly ADP-ribose polymerase 1 (PARP1) is an attractive therapeutic target for cancer treatment. Machine-learning scoring functions constitute a promising approach to discovering novel PARP1 inhibitors. Cutting-edge PARP1-specific machine-lear
Externí odkaz:
https://doaj.org/article/a02fc69f5f844477a791bb844350e043
Publikováno v:
Health Data Science, Vol 4 (2024)
Background: Gemcitabine is a first-line chemotherapy for pancreatic adenocarcinoma (PAAD), but many PAAD patients do not respond to gemcitabine-containing treatments. Being able to predict such nonresponders would hence permit the undelayed administr
Externí odkaz:
https://doaj.org/article/d41587731ca34dd6b72ce2100512e5f5
Publikováno v:
Journal of Chemical Information and Modeling. 63:1401-1405
We discuss how data unbiasing and simple methods such as protein-ligand Interaction FingerPrint (IFP) can overestimate virtual screening performance. We also show that IFP is strongly outperformed by target-specific machine-learning scoring functions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::383cda50c410a76e234a368e6c857315
https://doi.org/10.1021/acs.jcim.3c00218
https://doi.org/10.1021/acs.jcim.3c00218
Neurobehavioral deficits and a progressive ictogenesis in the tetrodotoxin model of epileptic spasms
Publikováno v:
Epilepsia. 63:3078-3089
Our goal was to determine whether animals with a history of epileptic spasms have learning and memory deficits. We also used continuous (24/7) long-term electroencephalographic (EEG) recordings to evaluate the evolution of epileptiform activity in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b97874661d7f60beb6dc70fc3af44375
https://doi.org/10.1111/epi.17428
https://doi.org/10.1111/epi.17428
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Akademický článek
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