Topical application of hemostatic paste

As a measure to control minor surgical bleeding, surgeons usually depend on a number of hemostatic aids. Topical use of bovine thrombin is a widely used procedure to arrest such minor bleeding. A 35 year old male sergeant of Bangladesh Air Force presented with repeated development of hematoma in his left thigh without any history of trauma or previous history of bleeding. Critical analysis of the patients history, routine and sophisticated hematological investigations revealed that the patient developed anti-thrombin antibody following the application of hemostatic paste in the tooth socket five years back during minor dental procedure to stop ignorable bleeding episodes. Therefore, topical use of hemostatic glue/paste or bovine thrombin should be avoided to desist minor bleeding as recombinant human thrombin is now available for topical use

Topical application of hemostatic paste

As a measure to control minor surgical bleeding, surgeons usually depend on a number of hemostatic aids. Topical use of bovine thrombin is a widely used procedure to arrest such minor bleeding. A 35 year old male sergeant of Bangladesh Air Force presented with repeated development of hematoma in his left thigh without any history of trauma or previous history of bleeding. Critical analysis of the patients history, routine and sophisticated hematological investigations revealed that the patient developed anti-thrombin antibody following the application of hemostatic paste in the tooth socket five years back during minor dental procedure to stop ignorable bleeding episodes. Therefore, topical use of hemostatic glue/paste or bovine thrombin should be avoided to desist minor bleeding as recombinant human thrombin is now available for topical use

Prediction Approaches for Smart Cultivation: A Comparative Study

Crop cultivation is one of the oldest activities of civilization. For a long time, crop production was carried out based on knowledge passed from generation to generation. However, due to the rapid growth in the human population of the world, human knowledge-based cultivation is not enough to meet the demanding need. To address this issue, the usage of machine learning-based tools has been studied in this paper. An experiment has been carried out over 0.3 million data. This dataset identifies 46 prominent parameters for cultivation, which is collected from the Department of Agriculture Extension, Bangladesh. Comparison between neural networks and numbers of machine learning algorithms has been carried out in this research. It is observed that the neural network outperforms the other methods by maintaining an average prediction accuracy of 96.06% for six different crops. Other contemporary machine learning algorithms, namely, support vector machine, random forest, and logistic regression, have average prediction accuracy of around 68.9%, 91.2%, and 62.39%, respectively