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Background: In medical education, enhancing thinking skills is vital. The Virtual Diagnosis and Treatment Platform (VP) refines medical students' diagnostic abilities through interactive patient interviews (simulated patient interactions). By analyzing the questions asked during these interviews, the VP evaluates students' aptitude in medical history inquiries, offering insights into their thinking capabilities.

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Semantical text understanding holds significant importance in natural language processing (NLP). Numerous datasets, such as Quora Question Pairs (QQP), have been devised for this purpose. In our previous study, we developed a Siamese Convolutional Neural Network (S-CNN) that achieved an F1 score of 82.

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Article Synopsis
  • Conjoined twins, or Siamese twins, are a rare type of monochorionic twinning requiring specialized imaging for diagnosis and monitoring.
  • Ultrasound is typically the first choice for screening, while MRI provides detailed anatomical information when needed.
  • A case of first trimester thoraco-omphalopagus conjoined twins with cystic hygroma was thoroughly evaluated using both sonography and MRI, highlighting the importance of advanced imaging in accurate diagnosis.
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Washing machine-induced trauma and coagulopathy in a kitten.

Can Vet J

December 2024

Cape Cod Veterinary Specialists, 11 Bourne Bridge Approach, Buzzards Bay, Massachusetts 02532, USA.

A 4-month-old intact male Siamese cat was presented immediately after being found in a washing machine following 30 min of a cold-water wash cycle. The kitten demonstrated clinical signs of shock, respiratory distress, hypothermia, coagulopathy, traumatic brain injury, and ocular injury. Resuscitation and treatment involving IV fluid therapy, hyperosmotic agents, oxygen supplementation, antifibrinolytics, a plasma transfusion, antioxidant medications, broad-spectrum antibiotics, analgesics, topical ophthalmic medications, and intensive nursing care were required.

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Syntactic-Semantic Detection of Clone-Caused Vulnerabilities in the IoT Devices.

Sensors (Basel)

November 2024

Institute of Computer Science and Cybersecurity, Peter the Great St. Petersburg Polytechnic University, 29 Polytekhnicheskaya ul., 195251 St. Petersburg, Russia.

This paper addresses the problem of IoT security caused by code cloning when developing a massive variety of different smart devices. A clone detection method is proposed to identify clone-caused vulnerabilities in IoT software. A hybrid solution combines syntactic and semantic analyses of the code.

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