Publications by authors named "M M Asgari"

Aedes albopictus is a widely recognized carrier of various pathogens. Its resilient characteristics enable it to easily spread across diverse climates. The microbiota in the midgut of mosquitoes plays a crucial role in the interactions between the host and pathogens and can either enhance or reduce the ability of the insect to transmit diseases.

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With the development of smart buildings, the risks of cyber-attacks against them have also increased. One of the popular and evolving protocols used for communication between devices in smart buildings, especially HVAC systems, is the BACnet protocol. Machine learning algorithms and neural networks require datasets of normal traffic and real attacks to develop intrusion detection (IDS) and prevention (IPS) systems that can detect anomalies and prevent attacks.

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Article Synopsis
  • Large language models (LLMs) like GPT-J-6B, Llama-3.1-8B, and Mistral-7B can learn chemical properties effectively through fine-tuning without specialized features.
  • Fine-tuning these models often outperforms traditional machine learning methods in simple classification tasks, with potential success in more complex problems depending on dataset size and question type.
  • The ease of converting datasets for LLM training and the effectiveness of small datasets in generating predictive models suggest that LLMs could significantly streamline experimental processes in chemical research.
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  • A rare case report discusses a 20-year-old Iranian woman who experienced a ruptured right common iliac aneurysm one year after having deep vein thrombosis (DVT), which was treated with rivaroxaban.
  • The surgical repair was successful, but she faced complications, including abdominal pain, small bowel obstruction, and a large pancreatic pseudocyst, despite ongoing anticoagulant therapy.
  • The report highlights the unusual link between DVT and vascular aneurysms and emphasizes the need to consider potential complications arising from aneurysms when treating DVT in patients.
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  • Natural design has inspired new materials, but using complex natural microstructures for functional materials is less explored.
  • The study focuses on Nacre, a biocomposite known for its unique structure, to analyze its phononic behavior at different frequencies.
  • Results show that Nacre exhibits simple properties at longer wavelengths but reveals a complex phononic spectrum when wavelengths match its structural features, challenging previous assumptions about its periodicity.
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