Eficácia acaricida de uma emulsão contendo 10% de óleo de nim (Azadirachta indica) no controle de Psoroptes ovis em coelhos naturalmente infestados

O objetivo do presente estudo foi avaliar a eficácia de uma emulsão contendo 10% de óleo de nim, Azadirachta indica, no controle de Psoroptes ovis em coelhos naturalmente infestados. Foram utilizados 12 coelhos separados aleatoriamente em dois grupos de seis animais cada. O grupo controle permaneceu sem tratamento, enquanto que o grupo tratado recebeu a formulação em teste, contendo 10% de Nim, borrifando ambos os condutos auditivos, uma vez ao dia, por sete dias consecutivos. Os animais foram avaliados diariamente para observação de possíveis efeitos adversos do produto. Nos dias +3, +7, +14,+21, +28 e +35 foi coletado material de todos os animais para avaliação da presença de ácaros vivos. Os coelhos do grupo controle apresentavam ácaros em ambos os condutos auditivos em todos os dias de observação. O grupo tratado apresentou eficácia de 41,7% no dia +3 e 100% a partir do dia +7 até o dia +35. O produto demonstrou ser eficaz no tratamento da sarna psoróptica em coelhos. Entretanto, todos os animais tratados apresentaram reações dermatológicas, tais como alopecia e hiperemia no local de aplicação do produto, variando de baixa a média severidade

Eficácia acaricida de uma emulsão contendo 10% de óleo de nim (Azadirachta indica) no controle de Psoroptes ovis em coelhos naturalmente infestados Miticidal efficacy of an emulsion containing 10% neem (Azadirachtaindica) oil for control of Psoroptes ovis in naturally infested rabbits

O objetivo do presente estudo foi avaliar a eficácia de uma emulsão contendo 10% de óleo de nim, Azadirachta indica, no controle de Psoroptes ovis em coelhos naturalmente infestados. Foram utilizados 12 coelhos separados aleatoriamente em dois grupos de seis animais cada. O grupo controle permaneceu sem tratamento, enquanto que o grupo tratado recebeu a formulação em teste, contendo 10% de Nim, borrifando ambos os condutos auditivos, uma vez ao dia, por sete dias consecutivos. Os animais foram avaliados diariamente para observação de possíveis efeitos adversos do produto. Nos dias +3, +7, +14,+21, +28 e +35 foi coletado material de todos os animais para avaliação da presença de ácaros vivos. Os coelhos do grupo controle apresentavam ácaros em ambos os condutos auditivos em todos os dias de observação. O grupo tratado apresentou eficácia de 41,7% no dia +3 e 100% a partir do dia +7 até o dia +35. O produto demonstrou ser eficaz no tratamento da sarna psoróptica em coelhos. Entretanto, todos os animais tratados apresentaram reações dermatológicas, tais como alopecia e hiperemia no local de aplicação do produto, variando de baixa a média severidade.The objective of the present study was to evaluate the efficacy of an emulsion containing 10% of neem (Azadirachta indica) oil on the control of Psoroptes ovis in naturally infested rabbits. Twelve rabbits were randomly divided in two groups of six animals. The control group remained without treatment; while animals in the other group were treated with the 10% neem extract formulation by spraying both ears daily for seven consecutive days. The animals were evaluated daily for the presence of adverse effects. Material from ears all animals was collected on days +3, +7, +14, +21, +28 and +35, and evaluated for the presence of living mites. Animals from control group presented mites in both ears along all days of observation. The treated group presented an efficacy of 41.7% on day +3 and 100% from day +7 to +35. The product containing 10% neem oil has demonstrated to be effective for the treatment of psoroptic mange on rabbits. However, treated animals presented dermatological reaction such as alopecia and hyperemia at the site of application, varying from low to medium severity

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation