2,431 research outputs found

    PERFORMANCE AND BEHAVIOUR OF CHICKENS WITH DIFFERENT GROWING RATE REARED ACCORDING TO THE ORGANIC SYSTEM

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    The performance and the behaviour of three different chicken strains, reared according to the EEC-Regulation 1804/1999 organic system, were compared. The strains had very slow (Robusta maculata), slow (Kabir) and fast (Ross) growing rates, respectively. The trial was carried out on 200 chickens (male and female) per strain. Rearing lasted 81 days as required by the EEC Regulations. At slaughter age, 20 birds per group were killed. Robusta maculata and Kabir chickens showed more intense walking activity and better foraging aptitude; their antioxidant capacity was also superior. Ross chickens had a good growth rate and feed conversion index, reaching an excellent body weight, but the mortality and the culling rate were high indicating that fast-growing strains do not adapt well to organic production. Robusta maculata showed the worst productive performance although the mortality was low and Kabir birds gave intermediate results. The carcass traits were the best in Ross and the poorest in Robusta maculata. Male chickens were heavier and leaner than females

    Millennial consumers\u2019 wine consumption and purchasing habits and attitude towards wine innovation

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    The work is focused on Italian Millennials, currently representing one of the most interesting target for wine producers. In the US, Millennials\u2019 wine consumption behaviour is already well surveyed; however, in the Old World, this phenomenon is an unexplored area. The aim of this study is to identify wine consumption and purchasing behaviour of Italian Millennials and to explore their reluctance or readiness to purchase and try unfamiliar or new wines or wine styles. The methodology includes two steps: (1) an explorative analysis, carried out through focus groups; and (2) a quantitative survey based on a specific questionnaire submitted vis a vis to consumers in 2017. Wine Neophobia Scale studied by Ristic et al., 2016, has been applied to assess whether Italian Millennials are neophobic or neophilic. Data elaboration includes an Exploratory Factor Analysis to identify latent factors on wine consumption and purchasing habits and a multivariate linear regression to explore the level of Neophilia and wine consumption and purchasing habits. Results show that Italian Millennials are rather neophilic, that is have a positive approach to unfamiliar or new wines. The wine purchasing and consumption habits show an uncertain Millennial consumers\u2019 approach to wine novelties

    @Thomas Jefferson Sends A Tweet: A New Model For Journalism

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    The purpose of this thesis is to design a new model for modern journalism to achieve sustainability in a rapidly changing technological and global market place. The thesis offers literature review, new tools and systems perspectives for current news media managers that include Systems Thinking Frameworks and Idealized Design. The theory of Disruptive Technology is employed to explain why the industry is in the state that it is in. The thesis is encompassed in a discussion of the importance of journalism and explicates Thomas Jefferson’s notion that journalism is necessary to preserve democracy

    MEAT QUALITY OF THREE CHICKEN GENOTYPES REARED ACCORDING TO THE ORGANIC SYSTEM

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    The meat quality of three poultry genotypes with differing growth rates (fast-growing Ross; medium and slow growing Kabir and Robusta maculata, respectively) was compared. All the birds were reared according to the organic production system which requires a paddock with grass pasture (4 m2/bird) and a slaughter age greater than 81 d. The trial was carried out on 100 female chickens per strain. The meat quality was affected by the 20 different degree of maturity of the strains at slaughter age, which was 70% for Ross, 52 % for Kabir and 78% for Robusta maculata. Ross and Kabir were slaughtered at 81 d, whereas Robusta maculata, required 120 d to reach a commercial weight (>2 kg). The meat of all the three genotypes showed good qualitative traits. The main differences of the three genotypes regarded moisture, lipid, pHu, colour, iron, oxidative stability and overall acceptance. Compared with Kabir and Robusta maculata Ross meat had more fat, lower pHu and iron, and was 25 paler. The oxidative stability during display (24-96 h at 4° C) and acceptance were the worst. Kabir chickens, being the least mature strain, had the highest moisture content with a high cooking loss. The slower-growing genotypes showed a good adaptation to the extensive rearing conditions, while the fast-growing genotype showed unbalanced muscle response to the greater activity and the oxidative stability of the meat was reduced

    WELFARE, PRODUCTIVITY AND QUALITATIVE TRAITS OF EGG IN LAYING HENS REARED UNDER DIFFERENT REARING SYSTEMS

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    The welfare, production performance and some qualitative characteristics of eggs obtained under three different rearing systems (conventional, organic and organic-plus) were compared. Three homogeneous groups, each of 120 White Leghorn hens, fed the same diets, were assigned to different rearing systems and data were recorded for 1 year. The welfare indicators were the following: first impact, behavioural patterns, tonic immobility and plumage status. Productive performance was recorded (% deposition; egg weight) and some qualitative traits (Haugh index, yolk colour, yolk, albumen and egg shell weight) were evaluated. Well-being was greatly affected by rearing system. The best welfare status was observed in hens of the organic-plus group, whereas the worst was in the conventional group (caged hens). Caged hens showed little interest or fear of observers, at times they had high tonic immobility and some aggressive pecking; the status of their plumage was very poor. On the contrary, caged hens produced more eggs, even if their qualitative traits (Haugh index and yolk colour) were worse than the organicplus eggs. The intense motor activity of organic hens and the concurrent intake of grass reduced their productive level; further egg deposition seemed more affected by seasonal variation

    COMPARISON OF TWO CHICKEN GENOTYPES ORGANICALLY REARED: OXIDATIVE STABILITY AND OTHER QUALITATIVE TRAITS

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    The effect of genotype on the oxidative stability and other qualitative traits of chicken meat was studied. Two groups of 200 chicks (Ross 205 and Kabir) were reared according to the organic farming system. At 81 d of age 20 birds per group were slaughtered and after refrigeration (24 h at 4°C) of the carcasses, Pectoralis major muscles were excised for analyses.Samples were analysed after 0, 24, 48, 72 and 96 hours of storage at 4°C under continuous fluorescent illumination (2300 lux). The analyses concerned the chemical composition and the shear force (only at time 0) and the progress of several traits as pH, CIELAB values, Thiobarbituric Acid Reactive Substances (TBARS), panel test and fatty acid composition (at 0 and after 96 h). Genotype greatly affected the physico-chemical characteristics and the sensory evaluation. The meat from Ross chickens showed high TBARS values, perhaps due to selection for growth rate that reduced their adaptability to greater space allowance and to poorer environmental conditions; these higher TBARS values were also negatively correlated to lightness and yellowness. The initial level of TBARS affected the oxidative stability of breast meat during storage. The amount of TBARS showed significantly negative relationship with the sensory evaluation; breast meat of Kabir had higher scores for liking when the level of malondialdehyde was less than 2.5 mg kg-1

    Blood Rheology in Marine Mammals

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    The field of blood oxygen transport and delivery to tissues has been studied by comparative physiologists for many decades. Within this general area, the particular differences in oxygen delivery between marine and terrestrial mammals has focused mainly on oxygen supply differences and delivery to the tissues under low blood flow diving conditions. Yet, the study of the inherent flow properties of the blood itself (hemorheology) is rarely discussed when addressing diving. However, hemorheology is important to the study of marine mammals because of the critical nature of the oxygen stores that are carried in the blood during diving periods. This review focuses on the essential elements of hemorheology, how they are defined and on fundamental rheological applications to marine mammals. While the comparative rationale used throughout the review is much broader than the particular problems associated with diving, the basic concepts focus on how changes in the flow properties of whole blood would be critical to oxygen delivery during diving. This review introduces the reader to most of the major rheological concepts that are relevant to the unique and unusual aspects of the diving physiology of marine mammals

    HMM-based anomaly interpretation for intelligent robots in Industry 4.0

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    We apply an anomaly detection method based on Hidden Markov Models and Hellinger distance to a Kairos mobile robot operating in the ICE lab, a research laboratory for Industry 4.0. Two main contributions are proposed: i) a decomposition of the Hellinger distance which allows to identify the causes of anomalous behaviours detected, ii) a graphical user interface that synchronously shows the robot movements in a map and the evolution of the Hellinger distance components, allowing a quick investigation of the causes of the detected anomalies. The tools are applied to a real-world dataset allowing to discover that an anomalous movement of the Kairos robot is caused by a wrong reading of the lidar from a window in the environment

    Learning state-variable relationships for improving POMCP performance

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    We address the problem of learning state-variable relationships across different episodes in Partially Observable Markov Decision Processes (POMDPs) to improve planning performance. Specifically, we focus on Partially Observable Monte Carlo Planning (POMCP) and we represent the acquired knowledge with Markov Random Fields (MRFs). We propose three different methods to compute MRF parameters while the agent acts in the environment. Our tech- niques acquire information from agent action outcomes, and from the belief of the agent, which summarizes the knowledge acquired from observations. We also propose a stopping criterion to deter- mine when the MRF is accurate enough and the learning process can be stopped. Results show that the proposed approach allows to effectively learn state-variable probabilistic constraints and to outperform standard POMCP with no computational overhead

    Age-related relationships among peripheral B lymphocyte subpopulations

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    An immunological data-driven model is proposed, for age related changes in the network of relationships among cell quantities of eight peripheral B lymphocyte subpopulations, that is, cells exhibiting all combinations of three specific receptor clusters (CD27, CD23, CD5). The model is based on immunological data (quantities of cells exhibiting CD19, characterizing B lymphocytes) from about six thousands patients, having an age ranging between one day and ninety-five years, by means of a suitably combination of data analysis methods, such as piecewise linear regression models. With relaxed values for statistically significant models (coefficient p-values bounded by 0.05), we found a network holding for all ages, that likely represents the general assessment of adaptive immune system for healthy human beings. When statistical validation comes to be more restrictive, we found that some of these interactions are lost with aging, as widely observed in medical literature. Namely, interesting (inverse or directed) proportions are highlighted among mutual quantities of a partition of peripheral B lymphocytes
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