1,573 research outputs found
Apeced in Turkey: a case report and insights on genetic and phenotypic variability
APECED is a rare monogenic recessive disorder caused by mutations in the AIRE gene. In this manuscript, we
report a male Turkish patient with APECED syndrome who presented with chronic mucocutaneous candidiasis
associated with other autoimmune manifestations developed over the years. The presence of the homozygous
R257X mutation of the AIRE gene confirmed the diagnosis of APECED syndrome. We further performed literature
review in 23 published Turkish APECED patients and noted that Finnish major mutation R257X is
common in Turks. In particular, we assessed retrospectively how often the Ferre/Lionakis criteria would have
resulted in earlier diagnosis in Finns, Sardinians and Turks in respect to the classic criteria. Since an earlier
diagnosis could have been possible in 18.8% of Turkish, in 23.8% of Sardinian and 38.55% of Finnish patients
we reviewed from literature, Ferre/Lionakis criteria could indeed allow in future earlier initiation of immunomodulatory
treatments, if found effective in future studies
The chips are down: The influence of family on children's trust formation
Understanding the formation of trust at the individual level is a key issue given the impact that it has been recognized to have on economic development. Theoretical work highlights the role of the transmission of values such as trust from parents to their children. Attempts to empirically measure the strength of this transmission relied so far on the cross-sectional regression of the trust of children on the contemporaneous trust of their parents. We introduce a new identification strategy which hinges on a panel of parents and their children drawn from the German Socio-Economic Panel. Our results show that: 1) a half to two thirds of the observed variability of trust is pure noise irrelevant to the ransmission process; 2)this noise strongly biases the parameter estimates of the OLS regression of children's trust on parents' trust; however an instrumental variable procedure straightforwardly emerges from the analysis; 3) the dynamics of the component of trust relevant to the transmission process shed light on the structural interpretation of the parameters of this regression; 4) the strength of the flow of trust that parents pass to their children as well as of the sibling correlations due to other factors are easily summarized by the conventional R2 of a latent equation. In our sample, approximately one fourth of the variability of children's trust is inherited from their parents while two thirds are attributable to the residual sibling correlation
The Chips Are Down: The Influence of Family on Children's Trust Formation
Understanding the formation of trust at the individual level is a key issue given the impact that it has been recognized to have on economic development. Theoretical work highlights the role of the transmission of values such as trust from parents to their children. Attempts to empirically measure the strength of this transmission relied so far on the cross-sectional regression of the trust of children on the contemporaneous trust of their parents. We introduce a new identification strategy which hinges on a panel of parents and their children drawn from the German Socio-Economic Panel. Our results show that: 1) a half to two thirds of the observed variability of trust is pure noise irrelevant to the transmission process; 2) this noise strongly biases the parameter estimates of the OLS regression of children's trust on parents' trust; however an instrumental variable procedure straightforwardly emerges from the analysis; 3) the dynamics of the component of trust relevant to the transmission process shed light on the structural interpretation of the parameters of this regression; 4) the strength of the flow of trust that parents pass to their children as well as of the sibling correlations due to other factors are easily summarized by the conventional R2 of a latent equation. In our sample, approximately one fourth of the variability of children's trust is inherited from their parents while two thirds are attributable to the residual sibling correlation
The chips are down: The influence of family on children's trust formation
Understanding the formation of trust at the individual level is a key issue given the impact that it has been recognized to have on economic development. Theoretical work highlights the role of the transmission of values such as trust from parents to their children. Attempts to empirically measure the strength of this transmission relied so far on the cross-sectional regression of the trust of children on the contemporaneous trust of their parents. We introduce a new identification strategy which hinges on a panel of parents and their children drawn from the German Socio-Economic Panel. Our results show that: 1) a half to two thirds of the observed variability of trust is pure noise irrelevant to the transmission process; 2) this noise strongly biases the parameter estimates of the OLS regression of children's trust on parents' trust; however an instrumental variable procedure straightforwardly emerges from the analysis; 3) the dynamics of the component of trust relevant to the transmission process shed light on the structural interpretation of the parameters of this regression; 4) the strength of the flow of trust that parents pass to their children as well as of the sibling correlations due to other factors are easily summarized by the conventional R2 of a latent equation. In our sample, approximately one fourth of the variability of children's trust is inherited from their parents while two thirds are attributable to the residual sibling correlation
The chips are down: the influence of family on children’s trust formation
Understanding the formation of trust is a key issue because of the impact of trust on economic performance. Earlier attempts to measure the strength of intergenerational transmission of trust relied on the cross-sectional regression of children’s trust on the contemporaneous trust of parents. In this paper, we take an original approach to the analysis of the transmission process by introducing the distinction between permanent trust (the long-lasting belief on whether one trusts people) and transient trust (capturing, e.g., random errors in the reported trust), and argue that only permanent trust is relevant for the transmission process. Using data from the German Socio-Economic Panel, we show that 2/3 of the observed variability in children’s trust is due to the transient component. The remaining variability due to the permanent component is only moderately determined by the permanent trust of the parents, with mothers being much more relevant than fathers. Focusing on the subsample of families with more than one child, we show that most of the variability in children’s permanent trust is due to unobservable family-specific features of the environment shared by siblings. We conclude that while the family environment in which children grew up determines most of their permanent trust, the direct role of intergenerational transmission is small.Sara Tonini kindly acknowledges the financial support by the Fondazione Universitá di Trento under the Dematté grant
Food waste accounting - Methodologies, challenges and opportunities
Food waste (FW) is a priority both at global and European level. The United Nations (UN) defined the Sustainable Development Goal 12.3 target of ‘By 2030, halve per capita global FW at the retail and consumer levels and reduce food losses along production and supply chains, including post-harvest losses’. The European Commission has committed to achieve this goal and defined FW as a priority within the Circular Economy Action Plan. In order to support achievement of the SDG 12.3 target on food waste and maximise the contribution of all actors, the Commission to established the EU Platform on Food Losses and Food Waste (FLW) to support all actors in defining measures needed to prevent food waste, sharing best practice, and evaluating progress made over time.
The first step to address FW is to have a robust account of FW generated along the Food Supply Chain (FSC). Studies can be found in the literature that estimate FW at the EU level but results are discrepant because of different approaches, e.g. inclusion of inedible fractions of food and type of measurement. Furthermore, each approach presents strengths and weaknesses that may influence its use for specific purposes. At present, a consolidated framework for FW quantification in Europe is still an open challenge. A robust FW accounting system and FW quantification is primordial to enable monitoring FW and measuring distance to FW reduction targets. Such information is necessary to identify the most important FW streams, to define a baseline to monitor FW reduction over time, and to recognise FW flows that may undergo a valorisation process in a circular economy perspective
To contribute to the development of harmonized and robust FW accounting methodologies and FW quantification, the Joint Research Centre (JRC), bioeconomy unit (D1) organized a technical workshop entitled ‘Food waste accounting: methodologies, challenges and opportunities’ with speaker’s representative of the main projects related to FW accounting. The aim of the workshop was to share experiences and perspectives on FW quantification at the European scale, highlighting opportunities and challenges in order to improve FW quantification and ensure better decision support in relation to FW reduction and valorisation.
A key message from the workshop was that a harmonize methodology for FW accounting is not yet defined and there is the need of improving and matching methodological aspects and policy questions as the information needs are different depending on the area of policy intervention (either prevention, management or valorisation). Together with a clear framework for FW accounting, a clear and consensual FW definition clearly and in standardized way the aim, definitions and terminology (edible/inedible and avoidable/unavoidable), system boundaries, and, units of measurement is very important. This involves defining. This would enable the comparison of existing data across countries, commodities, and FSCs, which would further help exploring patterns and driving factors of FW generation. It was also identified the need to improve data quality and the development of methods to account liquid waste. Moreover, research is necessary to identify systematically types and sources of uncertainty and variability within the FW accounting framework and provide guidelines and tools to assess them. Another challenge to be addressed is the identification of FW drivers is of extreme relevance for both designing properly the framework for primary data collection and defining effective reduction strategies.JRC.D.1-Bio-econom
TOWARDS A SUSTAINABLE FOOD SYSTEM. LIFE CYCLE ASSESSMENT APPLIED TO AGRO-FOODPRODUCTS
Fornendo energia e nutrienti, la produzione di cibo è essenziale per la vita. Tuttavia, essa rappresenta anche una criticità ambientale. La popolazione mondiale in rapida crescita, infatti, ha bisogno di un quantitativo di cibo sempre maggiore, una delle principali cause di degrado ambientale a livello globale.
Il sistema agricolo è fondato su una rete di relazioni complesse che collegano la produzione agricola, funzioni e condizioni ambientali. Una produzione agricola meno impattante è, quindi, fondamentale per non compromettere la possibilità per la future generazioni di avere accesso a un quantitativo adeguato di risorse.
La metodologia LCA (life cycle assessment) ha un ruolo centrale nella valutazione di sostenibilità . Analizzando l’intero ciclo di vita di un prodotto o servizio, infatti, permette di tenere in considerazione eventuali trasferimenti di impatti tra comparti ambientali o fai della filiera.
Il principale obiettivo della presente tesi è contribuire al dibattito in corso riguardo all’armonizzazione degli approcci nell’applicazione della metodologia LCA a prodotti agro-alimentari per favorirne l’affidabilità e l’efficacia.Providing energy and nutrients, food production is essential for life. However it represents also an important environmental concern. Indeed, the rapidly growing world population is requiring an increased food production which is one of the greatest causes of environmental degradation throughout the world. The agricultural system is based on complex relations that link agricultural productivity, environmental functions and environmental conditions. Therefore, moving towards less polluting production systems is of the utmost importance to satisfy the current demand for food without compromising the possibility for future generations to have access to a proper amount of food of adequate quality.
Life cycle assessment (LCA) methodology is at the core of sustainability assessment. Indeed, considering the entire life cycle of a product or service, it allows to account for potential shifts of environmental impacts between environmental compartments or stages of the food supply chain.
The overall aim of the present thesis is to contribute to the ongoing debate on the harmonisation of the approaches to carry out a LCA referred to agro-food products in order to foster its reliability and effectiveness
Modelling of food loss within life cycle assessment: From current practice towards a systematisation
Abstract Food loss is a major concern from both environmental and social point of view. Life Cycle Assessment (LCA) has been largely applied to quantify the environmental impact of food and to identify pros and cons of different options for optimisation of food systems management, including the recovery of potential waste occurring along the supply chain. However, within LCA case studies, there is still a general lack of proper accounting of food losses. A discrepancy both in food loss definition and in the approaches adopted to model the environmental burden of food loss has been observed. These aspects can lead to misleading and, sometimes, contrasting results, limiting the reliability of LCA as a decision support tool for assessing food production systems. This article aims, firstly, at providing a preliminary analysis on how the modelling of food loss has been conducted so far in LCA studies. Secondly, it suggests a definition for food loss to be adopted. Finally, the article investigates the consequence of using such definition and it proposes potential paths for the development of a common methodological framework to increase the robustness and comparability of the LCA studies. It discusses the strengths and weaknesses of the different approaches adopted to account for food loss along the food supply chain: primary production, transport and storage, food processing, distribution, consumption and end of life. It is also proposed to account separately between avoidable, possibly avoidable and unavoidable food loss by means of specific indicators. Finally, some recommendations for LCA practitioners are provided on how to deal with food loss in LCA studies focused on food products. The most relevant recommendations concern: i) the systematic accounting of food loss generated along the food supply chain; ii) the modelling of waste treatments according to the specific characteristics of food; iii) the sensitivity analysis on the modelling approaches adopted to model multi-functionality; and iv) the need of transparency in describing the modelling of food loss generation and management
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