Social Representations of Insects as Food: An Explorative-Comparative Study among Millennials and X-Generation Consumers

Simple Summary In recent years, a remarkable number of studies have investigated entomophagy from different perspectives. Nevertheless, the theoretical framework of social representations (SRs) has never been used. SRs are organized sets of opinions, knowledge, attitudes, and beliefs about a social object—such as novel foods—co-constructed and shared by a social group. The present research is the first attempt to study entomophagy in the theoretical and methodological framework of SRs. We followed a double trajectory corresponding to two different ways to imagine the contribution of SRs to entomophagy studies. The first one focuses on the role of SRs in the social construction of meanings attached to entomophagy and on their introduction in individuals’ and groups’ thinking frameworks. The second proposes SRs as predictors, even if non-deterministic, of consumers’ behaviors. The results stimulate consideration of social knowledge and cultural variables in food studies using the theoretical framework of SRs. Abstract The aim of the research here presented is to describe and compare the social representations of entomophagy co-constructed and circulating among different groups of consumers. Social representations theory (SRT) allows us to understand a social reality that the individual builds based on his own experience in everyday life symbolic exchanges, whose primary function is to adapt concepts and abstract ideas using objectification and anchoring processes. We carried out this research within the structural approach methodological framework. We explored the structure (central core and peripheral schemes) and the content (information, opinions, attitudes, and beliefs) of the social representations of entomophagy by using mixed methodological strategies (hierarchized evocations, validated scales, check-list, projective tool, open-ended questions). Data were processed employing different R packages. The main results show an essential role played by generative processes (objectification and anchoring) as well as cognitive polyphasia and thémata in the co-construction of the social representations of entomophagy. Data could help in understanding the sensory characteristics of “insects as food” that should be used or avoided, for example, in communication aimed to promote entomophagy

A general model of dioxin contamination in breast milk: results from a study on 94 women from the Caserta and Naples areas in Italy.

BackgroundThe Caserta and Naples areas in Campania Region experience heavy environmental contamination due to illegal waste disposal and burns, thus representing a valuable setting to develop a general model of human contamination with dioxins (PCDDs-PCDFs) and dioxin-like-PCBs (dl-PCBs).Methods94 breastfeeding women (aged 19-32 years; mean age 27.9 ± 3.0) were recruited to determine concentrations of PCDDs-PCDFs and dl-PCBs in their milk. Individual milk samples were collected and analyzed according to standard international procedures. A generalized linear model was used to test potential predictors of pollutant concentration in breast milk: age, exposure to waste fires, cigarette smoking, diet, and residence in high/low risk area (defined at high/low environmental pressure by a specific 2007 WHO report). A Structural Equation Model (SEM) analysis was carried out by taking into account PCDDs-PCDFs and dl-PCBs as endogenous variables and age, waste fires, risk area and smoking as exogenous variables.ResultsAll milk samples were contaminated by PCDDs-PCDFs (8.6 pg WHO-TEQ/98g fat ± 2.7; range 3.8-19) and dl-PCBs (8.0 pg WHO-TEQ/98g fat ± 3.7; range 2.5-24), with their concentrations being associated with age and exposure to waste fires (p < 0.01). Exposure to fires resulted in larger increases of dioxins concentrations in people living in low risk areas than those from high risk areas (p < 0.01).ConclusionsA diffuse human exposure to persistent organic pollutants was observed in the Caserta and Naples areas. Dioxins concentration in women living in areas classified at low environmental pressure in 2007 WHO report was significantly influenced by exposure to burns

steroid resistant minimal change disease with ballooned podocytes

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Overlapping distribution of orexin and endocannabinoid receptors and their functional interaction in the brain of adult zebrafish

Hypocretins/Orexins neuropeptides are known to regulate numerous physiological functions, such as energy homeostasis, food intake, sleep/wake cycle, arousal and wakefulness, in vertebrates. Previous studies on mice have revealed an intriguing orexins/endocannabinoids (ECs) signaling interaction at both structural and functional levels, with OX-A behaving as a strong enhancer of 2-arachydonoyl-glycerol (2-AG) biosynthesis. In this study, we describe, for the first time in the brain of zebrafish, the anatomical distribution and co-expression of orexin (OX-2R) and endocannabinoid (CB1R) receptors, suggesting a functional interaction. The immunohistochemical colocalization of these receptors by confocal imaging in the dorsal and ventral telencephalon, suprachiasmatic nucleus (SC), thalamus, hypothalamus, preoptic area (PO) and cerebellum, is reported. Moreover, biochemical quantification of 2-AG levels by LC-MS supports the occurrence of OX-A-induced 2-AG biosynthesis in the zebrafish brain after 3 h of OX-A intraperitoneal (i.p.; 3 pmol/g) or intracerebroventricular (i.c.v.; 0.3 pmol/g) injection. This effect is likely mediated by OX-2R as it is counteracted by i.p./i.c.v administration of OX-2R antagonist (SB334867, 10 pmol/g). This study provides compelling morphological and functional evidence of an OX-2R/CB1R signaling interaction in the brain of adult zebrafish, suggesting the use of this well-established vertebrate animal model for the study of complex and phylogenetically conserved physiological functions

Combining on-hardware prototyping and high level simulation for DSE of multi-ASIP system

Abstract-Modern heterogeneous multi-processor embedded systems very often expose to the designer a large number of degrees of freedom, related to the application partitioning/mapping and to the component-and system-level architecture composition. The number is even larger when the designer targets systems based on configurable Application Specific Instructionset Processors, due to the fine customizability of their internal architecture. This poses the need for effective and user-friendly design tools, capable to deal with the extremely wide systemlevel design space exposed by multi-processor architecture and, at the same time, with an extended variety of processing element architectural configurations, to be evaluated in detail and in reasonable times. As a possible solution, within the MADNESS project [1], an integrated toolset has been proposed, combining the benefits of novel fast FPGA-based prototyping techniques with those provided by high-level simulation. In the toolset, the resulting evaluation platform serves as an underlying layer for a Design Space search algorithm. The paper presents the individual tools included in the toolset and their interaction strategy. The approach is then evaluated with a design space exploration case study, taking as a target application a video compression kernel. The integrated toolset has been used to produce a Pareto front of evaluated system-level configurations

Dioxins levels in breast milk of women living in Caserta and Naples : Assessment of environmental risk factors

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Diabetes and Obesity as Independent Risk Factors for Osteoporosis: Updated Results from the ROIS/EMEROS Registry in a Population of Five Thousand Post-Menopausal Women Living in a Region Characterized by Heavy Environmental Pressure

EMEROS/ROIS Registry is a project funded by ISBEM and supported by Medicina Futura Research

miR-34b/c Regulates Wnt1 and Enhances Mesencephalic Dopaminergic Neuron Differentiation

The differentiation of dopaminergic neurons requires concerted action of morphogens and transcription factors acting in a precise and well-defined time window. Very little is known about the potential role of microRNA in these events. By performing a microRNA-mRNA paired microarray screening, we identified miR-34b/c among the most upregulated microRNAs during dopaminergic differentiation. Interestingly, miR-34b/c modulates Wnt1 expression, promotes cell cycle exit, and induces dopaminergic differentiation. When combined with transcription factors ASCL1 and NURR1, miR-34b/c doubled the yield of transdifferentiated fibroblasts into dopaminergic neurons. Induced dopaminergic (iDA) cells synthesize dopamine and show spontaneous electrical activity, reversibly blocked by tetrodotoxin, consistent with the electrophysiological properties featured by brain dopaminergic neurons. Our findings point to a role for miR-34b/c in neuronal commitment and highlight the potential of exploiting its synergy with key transcription factors in enhancing in vitro generation of dopaminergic neurons.Peer reviewe

International Research Infrastructure Landscape 2019 : A European Perspective

The report is the final product of the RISCAPE project, funded by the European Commission H2020 programme