203 research outputs found

    Perceived Risk Triggers the Effects of Trace-Back Information on Consumer Trust

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    Understanding how trace-back information quality with the support of traceability systems contributes to consumer trust has been of interest to academics and practitioners. Drawing upon Commitment-Trust Theory, this research examines the role of trace-back information on consumer trust in the context of food safety. A consumer-based questionnaire survey was conducted following a structural model that was tested by using structural equation modelling techniques. The findings indicate that perceived risk increases perceived informativeness of traceability systems. More particularly, providing consumers with high quality trace-back information about the sources of ingredients, the production process, storage, and the supply chain is considered as the informativeness of traceability systems. Importantly, trace-back information about a product has a positive influence on consumer trust. Once consumers have increased trust in a product, they would buy a product about which they were concerned

    Information Transparency Matters in Relation to Consumer Trust in Food Safety

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    The purpose of this article is to provide an integrative conceptual model and propositions to assist in understanding whether information transparency matters under the support of traceability systems and online social networking information in relation to consumer trust in food safety. Extant literature forms the foundation for this article. A conceptual model resulting from this proposes that information on food products provided by traceability systems is proposed to stimulate consumers’ perceived knowledge of food products. Furthermore, online social networking information advances consumer trust in food product safety. The conceptual model proposes three testable propositions and provides insights into food information that consumers find useful for developing trust in food products

    Simultaneous structural and dielectric measurement of ammonia storage materials

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    The principal aims of this thesis are to design, build and experiment with simultaneous measurement systems, designed to measure ammonia adsorption in a wide range of sample materials. These simultaneous measurement systems will integrate dielectric spectroscopy methods with structural analysis techniques in order to obtain a more complete understanding of the dynamic adsorption processes that occur. Some of the new and most promising materials for ammonia storage applications are tested in this thesis in order to understand the possible strengths and weaknesses that these materials have in becoming used in real world applications. Dielectric spectroscopy in this thesis is achieved by using microwave resonant structures. These devices measure permittivity, dielectric losses and electrical conduction by way of the cavity perturbation technique. Structural analysis is conducted by way of neutron and X-ray diffraction, both of these measurement techniques give insight into the crystal structure of materials. With these two measurement techniques, changes in bulk material properties (measured from the dielectric spectroscopy) can be compared and contrasted with changes in the crystal structure (measured from the diffraction techniques). The materials tested within the simultaneous measurement systems were alkali earth and transition metal halides. On introducing gaseous ammonia to these materials, the dielectric properties and molecular structure changed. Using the combined information from multiple measurement techniques, a wide range of physical phenomena was able to be observed and analysed. This included assessment of the total amount of ammonia adsorbed, the amount of chemisorbed ammonia to physisorbed ammonia and if the ammoniated material was stable after the ammoniation process. Phase transformations involving coordination geometry were observed, as well as suppression of hole conduction processes due to ammoniation

    Active Living for Rural Youth [Policy Brief]

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    Childhood obesity and inactivity are significant and growing problems in many rural areas where the prevalence of obesity and overweight has been shown to be 25 percent higher than urban rates, even after controlling for income, race, physical activity and other known risk factors. While rural areas are often viewed as an ideal setting for an active childhood, kids face a variety of obstacles to incorporating physical activity in their daily lives. Active living research to date has focused largely on urban and suburban environments. This study investigates the complex web of determinants that support or undermine physical activity in rural youth. We visited three very different small Maine towns (Waldoboro, Dover-Foxcroft and Houlton), where we led youth focus groups and interviewed key informants including rural town planners, school personnel, recreation directors and parents. We also conducted townscape surveys of the physical characteristics of each community. Obesity and inactivity have roots in many aspects of rural life, from the physical environment, to social, policy and programmatic factors

    eHabitat: A Contribution to the Model Web for Habitat Assessments and Ecological Forecasting

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    In striving to improve the predictive capabilities of ecological forecasting we face three basic choices ¿ develop new models, improve existing ones or increase the connectivity of models so they can work together. The latter approach of chaining different interoperable models is of particular interest, as technical developments have made it increasingly viable to combine models that can answer more questions than the individual models alone, allowing users to address complex questions, often of a multi-disciplinary nature. This concept of a Model Web encourages the setting up of a dynamic network of interoperating models, communicating with each other using standardized web services. It is the purpose of this paper to introduce the potential contribution of e-Habitat to the Model Web. e-Habitat is conceived as a Web Processing Service for computing the likelihood of finding ecosystems with equal properties. By developing e-Habitat according to Model Web principles, end-users can define the thematic layers for input to the model from various sources. These input layers are discovered using standards-based catalogues, which are a fundamental component of Model Web and generic Spatial Data Infrastructures. e-Habitat integrates data ranging from remote sensing data to socio-economical indicators, thus offering a huge potential for multi-disciplinary modelling. We will show that e-Habitat can be used for the identification of habitats that are most vulnerable or of the optimal locations for monitoring stations or, when coupled with climate change model services, for ecological forecasting. As such, it is an excellent example of the Model Web in practice.JRC.H.3-Global environement monitorin

    Metabolomics analysis in adults with High Bone Mass identifies a relationship between bone resorption and circulating citrate which replicates in the general population

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    Objective: Bone turnover, which regulates bone mass, may exert metabolic consequences, particularly on markers of glucose metabolism and adiposity. To better understand these relationships, we examined cross-sectional associations between bone turnover markers (BTMs) and metabolic traits in a population with high bone mass (HBM, BMD Z-score>+3.2). Design: β-C-terminal telopeptide of type-I collagen (β-CTX), procollagen type-1 amino-terminal propeptide (P1NP) and osteocalcin were assessed by electrochemiluminescence immunoassays. Metabolic traits, including lipids and glycolysis-related metabolites, were measured using Nuclear Magnetic Resonance spectroscopy. Associations of BTMs with metabolic traits were assessed using Generalized Estimating Equation linear regression, accounting for within-family correlation, adjusting for potential confounders (age, sex, height, weight, menopause, bisphosphonate and oral glucocorticoid use). Results: 198 adults with HBM had complete data, mean [SD] age 61.6 [13.7] years; 77% female. Of 23 summary metabolic traits, citrate was positively related to all BTMs: adjusted ββ-CTX=0.050 (95% CI 0.024,0.076),p=1.71x10-4, βosteocalcin=6.54x10-4 (1.87x10-4,0.001),p=0.006 and βP1NP=2.40x10-4 (6.49x10-5,4.14x10-4),p=0.007 (β= increase in citrate (mmol/L) per 1μg/L BTM increase). Inverse relationships of β-CTX (β=-0.276 -0.434,-0.118],p=6.03x10-4) and osteocalcin (-0.004 [-0.007,-0.001],p=0.020) with triglycerides were also identified. We explored the generalizability of these associations in 3,664 perimenopausal women (age 47.9 [4.4] years) from a UK family cohort. We confirmed a positive, albeit lower magnitude, association between β-CTX and citrate (adjusted βwomen=0.020 [0.013,0.026],p=1.95x10-9) and an inverse association of similar magnitude between β-CTX and triglycerides (β=-0.354 [-0.471,-0.237],p=3.03x10-9). Conclusions: Bone resorption is positively related to circulating citrate and inversely related to triglycerides. Further studies are justified to determine whether plasma citrate or triglyceride concentrations are altered by factors known to modulate bone resorption, such as bisphosphonates

    Road environment modeling using robust perspective analysis and recursive Bayesian segmentation

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    Recently, vision-based advanced driver-assistance systems (ADAS) have received a new increased interest to enhance driving safety. In particular, due to its high performance–cost ratio, mono-camera systems are arising as the main focus of this field of work. In this paper we present a novel on-board road modeling and vehicle detection system, which is a part of the result of the European I-WAY project. The system relies on a robust estimation of the perspective of the scene, which adapts to the dynamics of the vehicle and generates a stabilized rectified image of the road plane. This rectified plane is used by a recursive Bayesian classi- fier, which classifies pixels as belonging to different classes corresponding to the elements of interest of the scenario. This stage works as an intermediate layer that isolates subsequent modules since it absorbs the inherent variability of the scene. The system has been tested on-road, in different scenarios, including varied illumination and adverse weather conditions, and the results have been proved to be remarkable even for such complex scenarios
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