European Union (EU) has set ambitious energy and climate targets for the EU Member States. Some EU Member States (MS) confirmed to attain 100% of renewables in power generation by 2050 and implement carbon-free economy target. The purpose of this study is to assess and compare the avoided external costs of electricity generation due to the penetration of renewables in the Baltic States by implementing EU energy and climate targets for 2020, 2030 and 2050. The switching to renewables has significant social benefits for the EU member states, as fossil fuel burning is linked with the climate change and emission of classical air pollutants (SO, NOx, particulate matter, NH, NMVOC), which can have various negative impacts on the human health. The analysis and forecasts of external costs of power generation by 2050 in the selected countries, i.e., the Baltic States, has shown that Estonia is able to achieve the highest avoided external costs and highest health benefits from renewable promotion due to the oil shale that is dominating in the power generation structure. The main input of this study performed in the Baltic States is to show how subsidies for renewables correspond to the reduction of external costs of power generation and to provide important policy implications for these countries. Moreover, this can be an example for other countries how to assess the benefits of renewables support.
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http://dx.doi.org/10.1016/j.jenvman.2021.113247 | DOI Listing |
BMC Pregnancy Childbirth
December 2024
Clinic of Obstetrics and Gynaecology, Faculty of Medicine, Institute of Clinical Medicine, Vilnius University, 03101 Santariskiu Str. 2, LT-08661, Vilnius, Lithuania.
Background: Constipation is frequently encountered in the population of pregnant women. Physical activity and nutritional factors are considered common causes of constipation; however, their impact on this population has not yet been evaluated precisely. This study aimed to assess the prevalence of constipation and its risk factors during pregnancy and postpartum.
View Article and Find Full Text PDFPNAS Nexus
January 2025
Department of Sociology, University of Oxford, Oxford OX1 1JD, United Kingdom.
Worldwide, mortality was strongly affected by the COVID-19 pandemic, both directly through COVID-19 deaths and indirectly through changes in other causes of death. Here, we examine the impact of the pandemic on COVID-19 and non-COVID-19 mortality in 24 countries: Australia, Austria, Brazil, Bulgaria, Canada, Chile, Croatia, Czechia, Denmark, England and Wales, Hungary, Japan, Latvia, Lithuania, The Netherlands, Northern Ireland, Poland, Russia, Scotland, South Korea, Spain, Sweden, Switzerland, and the United States. Using demographic decomposition methods, we compare age- and cause-specific contributions to changes in female and male life expectancy at birth in 2019-2020, 2020-2021, and 2021-2022 with those before the COVID-19 pandemic (2015-2019).
View Article and Find Full Text PDFPLoS One
December 2024
Department of Microbiology, Faculty of Medicine, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.
Purpose: We aimed to describe SARS-CoV-2 lineages and diversity in children and adults in Estonia and similarity to travel-related cases and neighbouring countries.
Methods: SARS-CoV-2 sequences in 2021-2022 from a nationwide study were included. The proportion of predominant lineages in Estonian regions and among travel-related cases was described by multinomial logistic regression.
Exp Oncol
December 2024
Riga Stradins University, Riga, Latvia.
Background: Patients with hematological malignancies (HM) are considered to have a high risk of developing severe and life-threatening infections including COVID-19 because of immune deficiency and immunosuppressive treatments. Although the COVID pandemic spread worldwide, morbidity and mortality data varied from country to country. A more accurate identification of risk factors would allow the improvement of the clinical management of HM patients.
View Article and Find Full Text PDFDentomaxillofac Radiol
December 2024
Diplomate ABOMR, Professor, Division of Diagnostic Sciences, Director, Oral & Maxillofacial Radiology Predoctoral Program, Section of Oral and Maxillofacial Radiology, Address: 5405 Koury Oral Health Sciences Building, UNC Adams School of Dentistry, Chapel Hill, North Carolina, 27599-7450.
Title: The Influence of a Deep Learning Tool on the Performance of Oral and Maxillofacial Radiologists in the Detection of Apical Radiolucencies.
Objectives: This study aimed to assess the impact of a deep learning model on oral radiologists' ability to detect periapical radiolucencies on periapical radiographs. The secondary objective was to conduct a regression analysis to evaluate the effects of years of experience, time to diagnose, and specialty.
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