Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Anastasia K, Paschalidou"'
Autor:
Stavros Sakellariou, Palaiologos Palaiologou, Anastasia K. Paschalidou, Michael Vrahnakis, Olga Christopoulou
Publikováno v:
Frontiers in Forests and Global Change, Vol 7 (2024)
Externí odkaz:
https://doaj.org/article/dc30daf101c9470fb0aff217213fcd82
Publikováno v:
Environmental Sciences Proceedings, Vol 26, Iss 1, p 148 (2023)
This work explores the impact of thermal stress on natural-cause mortality in the nine Office of National Statistics regions of England using the thermal index Apparent Temperature as the exposure indicator. A standard time-series Poisson regression
Externí odkaz:
https://doaj.org/article/2cbd4cca754b40c39969fe3f56799586
Publikováno v:
Environmental Sciences Proceedings, Vol 26, Iss 1, p 14 (2023)
Based on the value of statistical life and the willingness to pay methods, we estimated the economic cost resulting from premature mortality associated with fine particulate matter and ground-level ozone exposure across Greece during 2004–2019 unde
Externí odkaz:
https://doaj.org/article/312279dc5e224a359e5dd247d716673f
Publikováno v:
International Journal of Biometeorology. 67:355-366
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b77b8fd03bb93ec2cfd481f2117f3f6c
https://doi.org/10.1007/s00484-022-02414-y
https://doi.org/10.1007/s00484-022-02414-y
Publikováno v:
Environmental Science and Pollution Research International
Emissions of atmospheric pollutants are well-known for their adverse effects on air quality and public health. Additionally, GHG emissions are responsible for the so called “Radiating Forcing” leading to climate change and degradation of ecosyste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::671c713c261fa85a3d6f98b35e790bd7
https://doi.org/10.1007/s11356-021-18062-5
https://doi.org/10.1007/s11356-021-18062-5
Autor:
Ioannis M. Dokas, Anastasia K. Paschalidou, Konstantinos Chouvardas, Ilias Petrou, Kyriaki Psistaki, Sofia Christoforou, Valkaniotis Sotiris, Panagiotis Argyrakis, Apostolos Zeleskidis, Stavroula Charalabidou, Apostolos Vasileiou
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783031342066
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::708d1711913ead82fa18205f896e33c2
https://doi.org/10.1007/978-3-031-34207-3_12
https://doi.org/10.1007/978-3-031-34207-3_12
Autor:
Seyed Reza Asvad, Abbas Esmaili-Sari, Nader Bahramifar, Reza Dahmardeh Behrooz, Anastasia K. Paschalidou, Dimitris G. Kaskaoutis
Publikováno v:
Atmospheric Pollution Research. 14:101727
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::238e2700437d7126fdbd206af675e258
https://doi.org/10.1016/j.apr.2023.101727
https://doi.org/10.1016/j.apr.2023.101727
Publikováno v:
International journal of biometeorology.
Extreme ambient temperatures are well-known for their adverse impact on public health, in the form of increased mortality and morbidity due to respiratory and cardio-vascular diseases. However, to capture the total impact of weather on cause-specific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::8b4d25c9338550202af874c7d90b1570
https://pubmed.ncbi.nlm.nih.gov/36592210
https://pubmed.ncbi.nlm.nih.gov/36592210
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 20; Issue 1; Pages: 555
It is well-established that exposure to non-optimum temperatures adversely affects public health, with the negative impact varying with latitude, as well as various climatic and population characteristics. This work aims to assess the relationship be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aef1fb603794482d9f6e71c2f100144
https://doi.org/10.3390/ijerph20010555
https://doi.org/10.3390/ijerph20010555
Publikováno v:
Environmental science and pollution research international. 18(2)
In the present work, two types of artificial neural network (NN) models using the multilayer perceptron (MLP) and the radial basis function (RBF) techniques, as well as a model based on principal component regression analysis (PCRA), are employed to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89fa656bdd7d5cee853c7f553990eb96
https://pubmed.ncbi.nlm.nih.gov/20652425
https://pubmed.ncbi.nlm.nih.gov/20652425