Accurate identification of depth phases is essential in improving the performance of the event screening process. In the first Release of event screening software, the rules for depth phases were insufficient, in that events that had inappropriate depth phase picks could satisfy the depth phase criteria. To strengthen the depth phase criteria so there is more confidence in the results, a new se...

The tobacco in plateau mountains has the characteristics of fragmented planting, uneven growth, and mixed/interplanting crops. It is difficult to extract effective features using an object-oriented image analysis method accurately planting areas. To this end, advantage deep learning self-learning relied on paper. An accurate extraction areas based a semantic segmentation model from unmanned aer...

the aim of this study was evaluation of enoxaparin utilization in hospitalized patients who had received enoxaparin either for prophylaxis or for treatment of thromboembolic disorders. a total of 356 patients were included in this retrospective study and were analyzed for enoxaparin utilization in terms of prescription patterns, treatment strategy, dosing regimen, indications/contraindications,...

A numerical method called Multiple Attribute Decision Making (MADM) has been used for rational selection of a cotton harvester out of a finite number of cotton harvesters available the world over. In India, efforts are being made to design and develop a commercial cotton harvester to harvest selected cotton varieties sown by adopting common agronomic practices locally for cotton cultivation. Th...