Targeted Drug Delivery Using Self-Unrolling Sheets in Magnetically Actuated Capsules

Chemistry, Nanoscience, Chemical Engineering, Engineering, Mechanical Engineering, Medicine, Gastroenterology, Pharmacy, Medical Imaging, Oncology,
targeted drug delivery   magnetically actuated capsule   self-unrolling sheets   gastrointestinal diseases   real-time monitoring  

Targeted Drug Delivery Using Self-Unrolling Sheets in Magnetically Actuated Capsules Background Gastrointestinal (GI) diseases, such as inflammatory bowel disease, GI bleeding, and cancer, are significant global health issues. Traditional treatment methods, such as endoscopy and oral medications, though effective to some extent, have many limitatio...

Reinforcement Learned Multiagent Cooperative Navigation in Hybrid Environment with Relational Graph Learning

Engineering, Mechanical Engineering, Electrical Engineering, Information Science, Computer Science, Automation, Artificial Intelligence,
multiagent system   reinforcement learning   relational graph learning   hybrid environment   cooperative navigation   decentralized execution   collision avoidance  

Multi-agent Cooperative Navigation in Hybrid Environments: A New Reinforcement Learning Approach Based on Relational Graph Learning Mobile robotics is witnessing a surge in applications, fueled by advancements in artificial intelligence, with navigation capabilities being one of the core focus areas of research. Traditional navigation methods often...

Adaptive Composite Fixed-Time RL-Optimized Control for Nonlinear Systems and Its Application to Intelligent Ship Autopilot

Engineering, Mechanical Engineering, Ocean Engineering, Transportation Engineering, Electrical Engineering, Information Science, Computer Science, Automation, Artificial Intelligence,
adaptive control   fixed-time control   reinforcement learning   nonlinear systems   neural networks   intelligent ships   optimization methods  

Nonlinear Fixed-Time Reinforcement Learning Optimized Control for Intelligent Ship Autopilots In recent years, intelligent autopilot technology has gradually become a research hotspot in the field of automation control. For complex nonlinear systems, the design of optimized control strategies, especially the achievement of system stability and perf...

Multiobjective Dynamic Flexible Job Shop Scheduling with Biased Objectives via Multitask Genetic Programming

Engineering, Mechanical Engineering, Information Science, Computer Science, Automation, Artificial Intelligence,
dynamic scheduling   flexible job shop   genetic programming   multitask learning   multiobjective optimization   scheduling heuristics   algorithm efficiency  

Breakthrough Research in Multiobjective Dynamic Flexible Job Shop Scheduling: An Innovative Approach to Optimize Biased Objectives via Multitask Learning in Genetic Programming Background Introduction Dynamic Flexible Job Shop Scheduling (DFJSS) is an essential combinatorial optimization problem with extensive real-world applications in areas such ...

Fully Automated Sample-to-Result Simple-RPA Microfluidic Chip for In Ovo Sexing Application

Chemistry, Analytical Chemistry, Engineering, Mechanical Engineering, Medicine, Life Sciences, Bioengineering,
microfluidic chip   in ovo sexing   recombinase polymerase amplification   automated detection   low cost   high sensitivity   animal welfare  

Fully Automated Microfluidic Chip-Based Embryo Sexing Technology Academic Background In the egg-laying poultry industry, newly hatched male chicks are often culled immediately after hatching, as they neither lay eggs nor produce high-quality meat. Each year, approximately 372 million male chicks are culled in the European Union. This practice has s...