8 research outputs found

    Behavior, performance and physiological parameters of pigs reared in deep bedding Comportamento, desempenho e parĂąmetros fisiolĂłgicos de suĂ­nos criados em cama sobreposta

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    An experiment was conducted to evaluate the behavior, performance and physiological parameters of pigs in different production systems. Twenty four animals in the growth phase were distributed in a randomized block design in three treatments: T1 - concrete floor, T2 - deep bedding with wood shaving, and T3 - deep bedding with coffee husks. The behavioral study was carried out by observing the animal behavior for an uninterrupted period of eight hours throughout seven weeks. The proportions of time spent in each behavior were characterized using the frequency histogram composition. Environmental (IBGTH), physiological (rectal and skin temperature and respiratory rate) and performance (weight gain, feed intake and feed conversion) parameters were measured in animals during the period. The production systems of deep bedding showed higher values of IBGTH. There was no effect of production systems evaluated on the performance parameters. Rectal temperature was higher in animals reared on deep bedding with coffee husks in relation to the concrete floor. The use of deep bedding benefited the behavior of piglets in the growth phase and it reduced the agonistic behavior among individuals.<br>Foi conduzido um experimento para avaliar o comportamento, desempenho e parĂąmetros fisiolĂłgicos de suĂ­nos, em diferentes sistemas de produção. Foram utilizados 24 suĂ­nos em crescimento, distribuĂ­dos em delineamento casualizado, nos tratamentos: T1 - piso de concreto; T2 - cama sobreposta com maravalha; T3 - cama sobreposta com casca de cafĂ©. Realizou-se observação do comportamento animal, por oito horas ininterruptas, ao longo de sete semanas. Foram caracterizadas as proporçÔes de tempo dedicadas a cada comportamento, utilizando a composição de histograma de frequĂȘncia. Foram mensurados parĂąmetros ambientais (ITGU), fisiolĂłgicos (temperatura retal e de superfĂ­cie e frequĂȘncia respiratĂłria) e de desempenho dos animais (ganho de peso, consumo de ração e conversĂŁo alimentar) durante o perĂ­odo. Os sistemas de produção sobre cama proporcionaram maiores valores de ITGU. NĂŁo houve efeito dos sistemas avaliados sobre os parĂąmetros de desempenho. A temperatura retal foi superior nos animais criados sobre cama de casca de cafĂ©, em relação ao piso de concreto. O uso de camas sobrepostas beneficiou o comportamento de leitĂ”es em fase de crescimento e reduziu o comportamento agonĂ­stico entre indivĂ­duos

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    ALICE upgrades during the LHC Long Shutdown 2

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    International audienceA Large Ion Collider Experiment (ALICE) has been conceived and constructed as a heavy-ion experiment at the LHC. During LHC Runs 1 and 2, it has produced a wide range of physics results using all collision systems available at the LHC. In order to best exploit new physics opportunities opening up with the upgraded LHC and new detector technologies, the experiment has undergone a major upgrade during the LHC Long Shutdown 2 (2019–2022). This comprises the move to continuous readout, the complete overhaul of core detectors, as well as a new online event processing farm with a redesigned online-offline software framework. These improvements will allow to record Pb-Pb collisions at rates up to 50 kHz, while ensuring sensitivity for signals without a triggerable signature

    Sensor response and radiation damage effects for 3D pixels in the ATLAS IBL detector

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    Pixel sensors in 3D technology equip the outer ends of the staves of the Insertable B Layer (IBL), the innermost layer of the ATLAS Pixel Detector, which was installed before the start of LHC Run 2 in 2015. 3D pixel sensors are expected to exhibit more tolerance to radiation damage and are the technology of choice for the innermost layer in the ATLAS tracker upgrade for the HL-LHC programme. While the LHC has delivered an integrated luminosity of ≃ 235 fb-1 since the start of Run 2, the 3D sensors have received a non-ionising energy deposition corresponding to a fluence of ≃ 8.5 × 1014 1 MeV neutron-equivalent cm-2 averaged over the sensor area. This paper presents results of measurements of the 3D pixel sensors' response during Run 2 and the first two years of Run 3, with predictions of its evolution until the end of Run 3 in 2025. Data are compared with radiation damage simulations, based on detailed maps of the electric field in the Si substrate, at various fluence levels and bias voltage values. These results illustrate the potential of 3D technology for pixel applications in high-radiation environments
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