Unlabelled: To date, despite the existence of the sustainability goals of the 2030 Agenda and the need for an energy transition, the results set is still quite far away from being achieved. The awareness of this situation moves many European countries to promote policies based on the use of renewable sources. This paper is aimed at illustrating the Italian legislative context, evaluating the effectiveness of the introduced incentives, according to parameters that affect the productivity of a photovoltaic system. It is also aimed at helping to bridge the gap linked to the relationship between incentives and energy transition, also with regard to renewables. The research focuses on an evaluation methodology, based on technical and economic standards and it is accompanied by a case-study. In order to analyze the productivity of the photovoltaic system, all the main input factors that could affect the technical and economic performance of the system were investigated. In particular, solar potential analysis, shading elements, installation place, azimuth, tilt of modules and technology. For the economic valuations, the discounted cash flow method was used. The results obtained show that some Italian regions, particularly those in the north, should prefer other forms of renewables, such as hydroelectric and geothermal, and that the FER1 decree is not suitable for the promotion of solar photovoltaics in some areas. The research shows also that policies on renewables should be calibrated according to the intrinsic features of the place where they are located and have to be related to the built heritage they will interface, in the light of technological and plant system aspects.
Supplementary Information: The online version contains supplementary material available at 10.1007/s10098-023-02497-0.
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http://dx.doi.org/10.1007/s10098-023-02497-0 | DOI Listing |
J Glob Health
December 2024
Amsterdam UMC, location University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, the Netherlands.
Background: Risk prediction tools for acutely ill children have been developed in high- and low-income settings, but few are validated or incorporated into clinical guidelines. We aimed to assess the performance of existing paediatric early warning scores for use in low- and middle-income countries using clinical data from a recent large multi-country study in Africa and South-Asia.
Methods: We used data (children across three nutritional strata) from the Childhood Acute Illness and Nutrition (CHAIN) Network cohort study (n = 3101).
Cureus
December 2024
Department of Epidemiology, Clinical Research and Community Health, Faculty of Medicine, Pharmacy and Dentistry of Fez, Sidi Mohamed Ben Abdellah University, Fez, MAR.
Background Urinary incontinence is a significant health problem with physical, social, economic, and psychological consequences for patients and their quality of life. The aim of our study is to determine the impact of urinary incontinence on the quality of life and to identify its determinants in patients with this condition. Materials and methods A cross-sectional study was carried out in the diagnostic center of Centre Hospitalier Universitaire (CHU) Hassan II in Fez, Morocco, between June and September 2019.
View Article and Find Full Text PDFOpen J Neurosci
January 2025
Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Background: Extreme heat exposure is an increasing public health concern, particularly in the context of climate change. Limited research has explored its impact on children's cognitive outcomes. This study investigates the association between extreme heat exposure and cognitive function in 9-10-year-old children, using data from the Adolescent Brain Cognitive Development (ABCD) study.
View Article and Find Full Text PDFFront Plant Sci
January 2025
School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China.
Hyperspectral images are rich in spectral and spatial information, providing a detailed and comprehensive description of objects, which makes hyperspectral image analysis technology essential in intelligent agriculture. With various corn seed varieties exhibiting significant internal structural differences, accurate classification is crucial for planting, monitoring, and consumption. However, due to the large volume and complex features of hyperspectral corn image data, existing methods often fall short in feature extraction and utilization, leading to low classification accuracy.
View Article and Find Full Text PDFFront Nutr
January 2025
School of Physical Education and Health, Nanchang Institute of Science & Technology, Nanchang, China.
Background: The increasing prevalence of psychological symptoms in adolescents has become an important problem faced by all countries in the world. The increased sugar-sweetened beverages (SSB) consumption and the decreased muscle strength had a serious negative impact on adolescent health. However, previous studies have mainly focused on adolescents in developed countries and fewer studies have been conducted in developing countries, especially in rural areas of western China.
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