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Climate change threatens to undermine the past 50 years of gains in public health. In response, the National Health Service (NHS) in England has been working since 2008 to quantify and reduce its carbon footprint. This Article presents the latest update to its greenhouse gas accounting, identifying interventions for mitigation efforts and describing an approach applicable to other health systems across the world.A hybrid model was used to quantify emissions within Scopes 1, 2, and 3 of the Greenhouse Gas Protocol, as well as patient and visitor travel emissions, from 1990 to 2019. This approach complements the broad coverage of top-down economic modelling with the high accuracy of bottom-up data wherever available. Available data were backcasted or forecasted to cover all years. To enable the identification of measures to reduce carbon emissions, results were disaggregated by organisation type.In 2019, the health service's emissions totalled 25 megatonnes of carbon dioxide equivalent, a reduction of 26% since 1990, and a decrease of 64% in the emissions per inpatient finished admission episode. Of the 2019 footprint, 62% came from the supply chain, 24% from the direct delivery of care, 10% from staff commute and patient and visitor travel, and 4% from private health and care services commissioned by the NHS.This work represents the longest and most comprehensive accounting of national health-care emissions globally, and underscores the importance of incorporating bottom-up data to improve the accuracy of top-down modelling and enabling detailed monitoring of progress as health systems act to reduce emissions.Wellcome Trust.

A focus on land-use and forests as a means to reduce carbon dioxide levels in the global atmosphere has been at the heart of the international climate change debate since the United Nations Kyoto Protocol was agreed in 1997. This environmental management practice is a process technically referred to as mitigation. These largely technical projects have aimed to provide sustainable development benefits to forest-dependent people, as well as to reduce greenhouse gas emissions. However, these projects have had limited success in achieving these local development objectives. This article argues that this is due in part to the patriarchal underpinnings of the sustainable development and climate-change policy agendas. The author explores this theory by considering how a climate mitigation project in Bolivia has resulted in different outcomes for women and men, and makes links between the global decision-making process and local effects.

Abstract: Five groups of NMRI mice were fed ethanol or sucrose in a nutritionally adequate liquid diet for 9 days. The dietary fat consisted of olive oil with the fatty acid composition 18:1 77%, 18:2 10%, 18:0 and 16:0 12%. The ethanol treated groups received 5% w/v ethanol (E) or isocaloric sucrose (S). Two groups (S‐ and E‐) received the diet without supplement. In two groups (S+ and E +) 7% of the fat was exchanged for arachidonic acid (20:4). In a fifth group (IE +) treated with ethanol and arachidonic acid the diet also contained indomethacin (10 mg/1). The mean intake of ethanol was about 20 g/kg/day. After 9 days animals were killed and liver lipids analyzed after Folch extraction. The post mortem accumulation of prostaglandin E2 in the kidney was measured by GC‐MS. Dietary 20:4 was found to protect mice against fatty liver caused both by a high fat diet alone and in combination with ethanol. The liver triglycerides were 30.7 + 4.3 (S ‐), 46.1+6.9 (E ‐), 6.8 + 0.4 (S +) and 19.4 ±1.8 (E +). Prostaglandin levels in the kidney were depressed by ethanol treatment. Indomethacin gave variable degrees of PG synthesis inhibition. The degree of liver triglyceride accumulation in the IE+ group was inversely propotional to the degree of PG synthesis. The data suggest a role for liver 20:4 cyclooxyganase metabolites in fatty liver caused by high fat diets and ethanol.

EU has set ambitious commitment to achieve low carbon energy and economy transition up to 2050. This low carbon transition means sustainable energy development path based on renewable energy sources and first of all should address the energy poverty vulnerability and justice issues. The main goal of the paper is to develop indicators framework for assessing low carbon just energy transition and to apply this framework for analysis how climate change mitigation policies in households targeting enhancement of energy renovation of residential buildings and promotion of the use of micro-generation technologies and other policies are affecting household's energy poverty and vulnerability in selected countries: Lithuania and Greece. This framework allows to assess three main dimensions of sustainable energy development: environmental, social and economic. The paper provides policy recommendations how to deal with just low carbon energy transition which means addressing energy poverty issues during moving to 100% renewables in power generation based on performed case studies.

Over the past decade, there has been a constant spotlight on introducing sustainability in the supply chain (SC). The materialistic human greed for production and consumption has led to a radically increased level of greenhouse gases. SC has become its principal contributor. We are addressing this socio-economic environmental challenge by developing a multi-stakeholder framework and focusing on a knowledge-based net zero supply chain, as there are no concrete existing studies that have investigated current state-of-the-art operations in this relevant field. Therefore, this research has been conducted to investigate the drivers, barriers and practices through which net zero economy (NZE) can be attained in a knowledge-based SC. In this regard, the paper conducts an exploratory systematic review of selected articles from peer-reviewed journals. The findings indicate that primary stakeholders (i.e. organisations and suppliers) require to take an active role in bringing about sustainable changes in practice. However, external perspectives (i.e. government, society, consumers and community) have also been identified as sources that create challenges as well as have the potential to aid sustainable industrial practices. Additionally, progress can be enhanced through proper policies, regulations and a knowledge-based conceptual framework to pave the way for a sustainable environment. Proper practices for NZE also provide scope for economic growth through cost-effective production. This paper will be beneficial for practitioners as well as policy makers on a global scale who aim to attain NZE for sustainability.

Concurrent drinking and gambling is prevalent among young adults and may increase negative consequences associated with each behavior. The effects of alcohol, initial gambling outcomes, gambling-related cognitions, and impulsivity on gambling behavior were evaluated. Initial gambling outcomes, gambling-related cognitions, and impulsivity were also assessed as potential moderators of the relation between alcohol and gambling behavior. Participants (N = 130) were randomly assigned to receive active placebo or alcohol (0.84 g/kg and 0.76 g/kg for men and women, respectively) and were invited to wager on a simulated slot machine programmed to produce 1 of 3 initial outcomes (win, breakeven, or loss) before beginning a progressive loss schedule. Alcohol consumption was associated with larger average bets and more rapid loss of all available funds, though no evidence was found for predicted main effects and interactions for gambling persistence. The effect of impulsivity was moderated by beverage condition, such that higher levels of impulsivity were associated with larger average bets for participants in the placebo but not the alcohol group. Results have direct implications for individual-focused and public-health interventions.

Resilience is receiving increasing scientific attention, albeit its notion is still in progress and not univocal, especially when it comes to specific sectors such as energy. Energy and resilience policy is detected as a dominant strategy to achieve international development objectives throughout long-term sustainability and wellbeing goals. Energy resilience also crosses major energy policy issues – namely energy vulnerability, security, poverty, and justice. Making use of the Web Of Science 2018 release, this work aims at contributing to a clarification of the concept of energy resilience, proposing a taxonomy. The bibliometric outputs show a sharp increase in scientific publications on the issue. The bibliometric analysis suggests a taxonomy of energy resilience based on 7 approaches or strategies. The results suggest an evolution of the conceptual contributions, that enlarge resilience early use, merely applied to technical and hard sciences. Resilience is today used in different disciplines, including social sciences and sustainability studies, as part of a holistic approach centered on sustainable development.

Identifying the determinants of household electricity use is a key element in facilitating the efficient use of energy. Even more so, segmenting households into well-resolved and characterised groups makes it possible to explore electricity use trends at more disaggregated levels, revealing consumption patterns and reduction opportunities for different consumer groups. Considering such groups, the drivers and implications of consumption trends can be better understood, bringing new insights into electricity use and offering opportunities to target policies and interventions that represent the needs of population sub-groups. For this reason, the aim of this research is to develop distinct household typologies using a k-means cluster analysis method. This was developed using questionnaire data of 310 households collected in a locality in Botswana. A feature selection procedure that maximises the silhouette was also developed to select the variables with the most significant clustering tendency. The analysis resulted in four distinct groups that are distinguishable by dwelling type, tenure, the number of rooms, the number of bedrooms, annualised electricity consumption and the number of appliances. The clusters identification enhanced the understanding of the fundamental factors underlying electricity consumption characteristics of different household segments. With this known, it is possible to identify those groups that offer the greatest energy saving potentials, thus providing insights for targeted demand-side management (DSM) and other possible strategies aimed at efficient energy use by customers.