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completely ruled out, especially since the factors affecting cognition and dementia are not yet fully understood. The available evidence meets many of the Bradford Hill guidelines for causality. The reported associations between a range of air pollutants and effects on cognitive function in older people, including the acceleration of cognitive decline and the induction of dementia, are likely to be causal in nature. However, the diversity of study designs, air pollutants and endpoints examined precludes the attribution of these adverse effects to a single class of pollutant and makes meta-analysis inappropriate.Water management is a crucial tool for addressing the increasing uncertainties caused by climate change, biodiversity loss and the conditions of socioeconomic limits. The multiple factors affecting water resources need to be successfully managed to achieve optimal governance and thus move towards water security. This study seeks to obtain a holistic vision of the various threats that affect the ecological integrity of the basins that form the hydrological district of Galicia-Costa, through the method of partial least squares path modelling (PLS-PM). The data is analysed overall for the hydrological years from 2009 to 2015. The independent latent variables are "Anthropogenic" (comprising the percentage of water bodies with edges alongside artificial surfaces, the percentage connected to artificial land use patches, the edge density of artificial surfaces and population density) and "Nature" (edge density of forestry land uses, edge length of land water bodies alongside forested areas and the percentage of land that facilitates protection and correction measures to guarantee water safety.Human mortality data are often modeled using a demographic approach as a function of time. This approach does not present an adequate fit model for the number of deaths with great variability. For this reason, additional information (social, economic and environmental) is required for complementing and improving demographic modelling. This article evaluated the association between human mortality data (segregated by age and sex) with meteorological and air pollutant covariates at three geographical levels country, macro-climate regions and county. The modelling was based on a generalized linear modelling framework and takes into account the common characteristic of overdispersion in human mortality data through the application of negative binomial distribution. The proposed approach improved the dynamic behavior of the Farrington-like model (basic demographic model) and took into account the extreme meteorological and natural air pollution events. Notably, the proposed modelling worked well in cases where the amount of data was scarce.Feed consumption is responsible for the largest shares of resource use required for producing pork. this website In the European Union (EU), a meat consumption decrease is expected in combination with a growth of meat production driven by foreign demand. This paper presents a multiple environmental assessment of the resource use linked to EU pig feed by performing a material flow analysis of each single feed item constituting the EU pig diet. The global relevance and the trade-driven interlinkages are disclosed by considering the country-specific resource efficiencies of 254 territories. Our analysis reveals that in 2017 a total resource use of 14.5 Mha of land, 51.9 Gm3 of green water, 3.9 Gm3 of blue water, 1.23 Mtonnes of nitrogen, 0.35 Mtonnes of phosphorous, and 0.34 Mtonnes of potassium was required to satisfy the EU demand of pig feed. Wheat-based products accounted for the largest share of land use (32%), green water (35%), nitrogen and phosphorous from fertilizer use (44% and 28%, respectively). Also soybean accounted for a significant share of land use (15%), green water (20%) and phosphorous from fertilizer use (25%). Moreover, soybean-related feed items contributed the most to the potassium use (24%). While the domestic production of cereals satisfied the demand, protein-based ingredients such as soybean were largely imported, mainly from South America, outsourcing the related environmental burden. Moreover, most of the feed from extra-EU countries resulted with higher resource use intensities than EU implying a potential resource saving if feed was domestically produced. Results obtained are discussed in relation to the many constraints that limit the possibility of increasing the EU feed production and promising alternative solutions. In particular, while some solutions seem promising in terms of savings, the current EU regulation needs to be redesigned to allow their implementation and the achievement of ambitious EU targets.The competition over water use in shared water resources systems may lead to conflict. Conflict can lead to strategic behaviors with the consequence of "Tragedy of Common" in water resources. In this paper, a novel approach is proposed for the quantity and quality management of shared water resources using the Correlated Equilibrium (CE) concept. For the first time in water resources management studies, a Reinforcement Learning (RL)-based method, namely Regret Matching (RM), is proposed to simulate agents' behaviors. In the proposed methodology, an agent, which is responsible for water allocations, tries to reduce illegal water withdrawal from resources, using some non-mandatory and mandatory suggestions. This agent's objectives are leading the system towards social optimality (SO) and reaching the environmental sustainability goal. A modified RM algorithm is also developed for behavioral simulation in urban areas. The proposed methodology's applicability and efficiency are evaluated considering some criteria such as the concentration of the nitrate pollutant in groundwater, the groundwater table fluctuations, the rate of illegal water extraction from the groundwater, and the stakeholders' general satisfaction. The results of applying the methodology to the western part of the Tehran metropolitan area show its ability to deal with the water and treated wastewater allocation problems in urban areas and increase in the learning and cooperation among agents. According to the results, a meaningful decrease in nitrate concentration in the aquifer and an increase in groundwater table levels are observed. The results also indicate that the model could teach the stakeholders to act more responsibly towards protecting the environment and conserving shared water resources.