Study on the Safety and Efficacy of Algorithmically Controlled Electroporation for Treating Spontaneous Equine Melanoma

Study on the Safety and Efficacy of Algorithmically Controlled Electroporation for Treating Spontaneous Equine Melanomas In recent years, electroporation, specifically irreversible electroporation (IRE), has shown significant potential as a non-thermal ablation technique in tumor treatment. Compared to traditional thermal ablation methods, IRE can ...

Characterizing the Coefficient of Friction Between a Capsule Robot and the Colon

Characterizing the Coefficient of Friction between a Capsule Robot and the Colon Background Traditional colonoscopy, while effective for assessing colon health, is highly invasive, causing discomfort and potential complications. To address this issue, researchers have developed capsule robots (CR) with active movement mechanisms to achieve colon in...

A High Signal-to-Noise Ratio Spatial Encoding Technique for Magnetic Particle Imaging

Space-Specific Mixed Excitation Technique for High Signal-to-Noise Ratio Spatial Encoding in Magnetic Particle Imaging Background Introduction Magnetic Particle Imaging (MPI) is an emerging, radiation-free tracer imaging technology that visualizes the spatial distribution of superparamagnetic iron oxide nanoparticles (SPIOs) to achieve high-sensiti...

Extracorporeal Closed-Loop Respiratory Regulation for Patients with Respiratory Difficulty Using a Soft Bionic Robot

Extracorporeal Closed-Loop Respiratory Regulation for Patients with Respiratory Difficulty Using a Soft Bionic Robot

Comprehensive Academic Report on a Scientific Paper In modern medicine, respiratory regulation is crucial for patients with respiratory dysfunction. However, currently used clinical positive pressure ventilators have issues such as long-term dependence and injury. While external auxiliary devices like the “iron lung” offer non-invasive alternatives...

An Intersubject Brain-Computer Interface Based on Domain-Adversarial Training of Convolutional Neural Network for Online Attention Decoding

An Intersubject Brain-Computer Interface Based on Domain-Adversarial Training of Convolutional Neural Network for Online Attention Decoding

Cross-Subject Brain-Computer Interface: Real-time Attention Decoding Based on Domain-Adversarial Training with Convolutional Neural Networks Academic Background Attention decoding plays a crucial role in our daily lives and its implementation based on electroencephalogram (EEG) has garnered extensive attention. However, due to significant inter-ind...