Efficient-CapsNet: capsule network with self-attention routing.

Deep convolutional neural networks, assisted by architectural design strategies, make extensive use of data augmentation techniques and layers with a high number of feature maps to embed object transformations. That is highly inefficient and for large datasets implies a massive redundancy of features detectors. Even though capsules networks are still in their infancy, they constitute a promising solution to extend current convolutional networks and endow artificial visual perception with a process to encode more efficiently all feature affine transformations.

UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture.

Precision agriculture is considered to be a fundamental approach in pursuing a low-input, high-efficiency, and sustainable kind of agriculture when performing site-specific management practices. To achieve this objective, a reliable and updated description of the local status of crops is required. Remote sensing, and in particular satellite-based imagery, proved to be a valuable tool in crop mapping, monitoring, and diseases assessment.

Phenytoin for brain resuscitation after cardiac arrest: an uncontrolled clinical trial.

Nine of 10 adults, previously healthy patients who suffered cardiac arrest during or after anesthesia, recovered nearly complete neurological function when given iv phenytoin, 7 mg/kg. Phenytoin was given only after spontaneous heart beat and systolic blood pressure greater than 100 mm Hg had been restored and the diagnosis of neurological deficit had been established on the basis of unconsciousness, dilated and areflexic pupils as well as rigid and /or decerebrated posture. One patient recovered only partially, and eventually succumbed to other complications.