Características biológicas de Boophilus microplus (acari: ixodidae) a partir de infestação experimental em cão Biological characteristics of Boophilus microplus (acari: ixodidae) on dog under experimental infestation

Boophilus microplus (Canestrini, 1887), um parasita comum dos bovinos, tem sido observado em cães. Com objetivo de descrever características biológicas desse parasitismo, um cão foi infestado experimentalmente com 10.000 larvas de B. microplus previamente mantidas em câmara climatizada a 27 ± 1 ºC e umidade relativa superior a 80%. A média da fase parasitária foi de 24,4 ± 1,50 dias, com uma taxa de recuperação de 0,42%. Das 21 fêmeas desprendidas natural e precocemente do hospedeiro, 6 (28%) ingurgitaram o suficiente (75,1 ± 30,23mg) para realizar postura. O período médio de prépostura foi de 4,33 ± 1,37 dias e o período médio de postura de 9,17 ± 2,32 dias, com produção média de 18,78 ± 15,34mg de postura. O índice médio de produção de ovos observado foi de 22,38%. Estes resultados demonstraram que fêmeas de B. microplus alimentadas em cão experimentalmente infestado, completam seu ciclo biológico. A obtenção de fêmeas, capazes de realizar posturas viáveis, sugerem a possibilidade do cão atuar como hospedeiro alternativo para B. microplus, especialmente quando não há disponível outra espécie de hospedeiro preferencial.<br>Boophilus microplus, a common parasite of cattle, has eventually reported in dogs. To describe biological features of this parasitism, one dog was experimentally infested with 10,000 larvae of B. microplus which were previously held in acclimatized camera at 27 ±1ºC and relative humidity up to 80%. The mean of parasitic phase was 24.4 ± 1.50 days, with 0.42% of recovery rate. Of 21 natural detached B. microplus females, six engorged enough (75.1 ± 30.23mg) to achieve posture. The mean period of pre-posture was 4.33 ± 1.37 days and the means period of posture was 9.17 ± 2.32, producing a mean of 18.78 ± 15.34 posture weight. The mean of eggs production index observed was 22.38%. The results showed that B. microplus females fed on dogs to complete their life cycle. The females collected were able to ovoposite viable eggs suggesting that dogs can be a possible alternative hosts to B. microplus, especially when there is no other preferential host species available

Stress testing reveals gaps in clinic readiness of image-based diagnostic artificial intelligence models.

Artificial intelligence models match or exceed dermatologists in melanoma image classification. Less is known about their robustness against real-world variations, and clinicians may incorrectly assume that a model with an acceptable area under the receiver operating characteristic curve or related performance metric is ready for clinical use. Here, we systematically assessed the performance of dermatologist-level convolutional neural networks (CNNs) on real-world non-curated images by applying computational "stress tests". Our goal was to create a proxy environment in which to comprehensively test the generalizability of off-the-shelf CNNs developed without training or evaluation protocols specific to individual clinics. We found inconsistent predictions on images captured repeatedly in the same setting or subjected to simple transformations (e.g., rotation). Such transformations resulted in false positive or negative predictions for 6.5-22% of skin lesions across test datasets. Our findings indicate that models meeting conventionally reported metrics need further validation with computational stress tests to assess clinic readiness