Background: Snakebite envenomation in pregnancy is uncommon. It can lead to a poor outcome in both the mother and the fetus. We describe our approach to envenomation in pregnancy based on the currently available evide...Background: Snakebite envenomation in pregnancy is uncommon. It can lead to a poor outcome in both the mother and the fetus. We describe our approach to envenomation in pregnancy based on the currently available evidence. Case: We reported two case of snakebite in the third trimester of pregnancy having caused placental abruption with expelling a fresh still born baby and a live baby. In both cases, consumption coagulopathy occurred. managed by polyvalent anti-snake and blood transfusion. Their investigations became normal and they were discharged of hospitalization. Conclusion: Snakebite envenomation in pregnant is a maternal and fetal emergency. Treatment must be quick and well adapted.展开更多
In Brazil, the prominent climate-induced disasters are floods and mass movements, with the latter being the most lethal. The spate of major landslide events, especially those in 2011, catalyzed the creation of CEMADEN...In Brazil, the prominent climate-induced disasters are floods and mass movements, with the latter being the most lethal. The spate of major landslide events, especially those in 2011, catalyzed the creation of CEMADEN (National Center for Monitoring and Early Warning of Natural Disasters). This article introduces one of CEMADEN’s pivotal systems for early landslide warnings and traces its developmental timeline. The highlighted SNAKE System epitomizes advancements in digital monitoring, forecasting, and alert mechanisms. By leveraging precipitation data from pluviometers in observed municipalities, the system bolsters early warnings related to potential mass movements, like planar slides and debris flows. Its deployment in CEMADEN’s Situation Room attests to its suitability for overseeing high-risk municipalities, attributed primarily to its robustness and precision.展开更多
胚蛋活性检测对疫苗生产的质量与安全至关重要。传统机器视觉检测方法严重依赖人为设计的特征提取算法,对图像质量和环境条件要求高,检测结果稳定性和容错性差,导致实际检测过程中的通用性受到限制,为克服这种缺陷,该研究提出一种基于改...胚蛋活性检测对疫苗生产的质量与安全至关重要。传统机器视觉检测方法严重依赖人为设计的特征提取算法,对图像质量和环境条件要求高,检测结果稳定性和容错性差,导致实际检测过程中的通用性受到限制,为克服这种缺陷,该研究提出一种基于改进YOLOv8的疫苗胚蛋活性检测模型。采用自主设计图像采集装置,采集孵化10~11 d的胚蛋图像,通过几何变换、颜色调整、图像增强等方式构建并扩充数据集;采用Shuffle Net V2替换YOLOv8模型的骨干网络,在保持准确率的同时显著减少了计算复杂度,能更好地部署到嵌入式设备中;在YOLOv8颈部网络的卷积层后添加动态蛇形卷积层,通过其自适应地聚焦于细长和迂回的局部结构,准确地捕捉管状结构的性质特征,从而提高胚蛋检测的准确率;使用EIOU(embedding intersection over union)损失函数,用于适应研究中边界框对齐和形状相似的场景,构建了符合试验中胚蛋图像的网络模型,以实现疫苗胚蛋活性快速、无损、批量检测。试验结果表明,改进YOLOv8模型精确率、召回率、平均精度均值(m AP_(50-95))分别达99.2%、98.2%、96.9%,对比原始YOLOv8模型分别提高了2.0、0.3、1.5个百分点,模型计算复杂度与推理时间相较与原模型分别降低60.9%、60.5%。说明此模型可以更好地实现疫苗胚蛋活性无损检测,为自动化批量检测提供理论依据。展开更多
文摘Background: Snakebite envenomation in pregnancy is uncommon. It can lead to a poor outcome in both the mother and the fetus. We describe our approach to envenomation in pregnancy based on the currently available evidence. Case: We reported two case of snakebite in the third trimester of pregnancy having caused placental abruption with expelling a fresh still born baby and a live baby. In both cases, consumption coagulopathy occurred. managed by polyvalent anti-snake and blood transfusion. Their investigations became normal and they were discharged of hospitalization. Conclusion: Snakebite envenomation in pregnant is a maternal and fetal emergency. Treatment must be quick and well adapted.
文摘In Brazil, the prominent climate-induced disasters are floods and mass movements, with the latter being the most lethal. The spate of major landslide events, especially those in 2011, catalyzed the creation of CEMADEN (National Center for Monitoring and Early Warning of Natural Disasters). This article introduces one of CEMADEN’s pivotal systems for early landslide warnings and traces its developmental timeline. The highlighted SNAKE System epitomizes advancements in digital monitoring, forecasting, and alert mechanisms. By leveraging precipitation data from pluviometers in observed municipalities, the system bolsters early warnings related to potential mass movements, like planar slides and debris flows. Its deployment in CEMADEN’s Situation Room attests to its suitability for overseeing high-risk municipalities, attributed primarily to its robustness and precision.
文摘胚蛋活性检测对疫苗生产的质量与安全至关重要。传统机器视觉检测方法严重依赖人为设计的特征提取算法,对图像质量和环境条件要求高,检测结果稳定性和容错性差,导致实际检测过程中的通用性受到限制,为克服这种缺陷,该研究提出一种基于改进YOLOv8的疫苗胚蛋活性检测模型。采用自主设计图像采集装置,采集孵化10~11 d的胚蛋图像,通过几何变换、颜色调整、图像增强等方式构建并扩充数据集;采用Shuffle Net V2替换YOLOv8模型的骨干网络,在保持准确率的同时显著减少了计算复杂度,能更好地部署到嵌入式设备中;在YOLOv8颈部网络的卷积层后添加动态蛇形卷积层,通过其自适应地聚焦于细长和迂回的局部结构,准确地捕捉管状结构的性质特征,从而提高胚蛋检测的准确率;使用EIOU(embedding intersection over union)损失函数,用于适应研究中边界框对齐和形状相似的场景,构建了符合试验中胚蛋图像的网络模型,以实现疫苗胚蛋活性快速、无损、批量检测。试验结果表明,改进YOLOv8模型精确率、召回率、平均精度均值(m AP_(50-95))分别达99.2%、98.2%、96.9%,对比原始YOLOv8模型分别提高了2.0、0.3、1.5个百分点,模型计算复杂度与推理时间相较与原模型分别降低60.9%、60.5%。说明此模型可以更好地实现疫苗胚蛋活性无损检测,为自动化批量检测提供理论依据。
