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1. The terminal has universal mounting feet so that it can be installed on U-rail NC 35 and G-rail NC32.
2. The closed screw guide hole ensures ideal screwdriver operation.
3. Equipped with uniform accessories for terminals of multiple cross-section grades, such as end plates, grouping partitions, etc.
4. Potential distribution can be achieved by inserting a fixed bridge in the center of the terminal or an edge-plug bridge inserted into the wire cavity.
5. The grounding terminal and the N-line slider breaking terminal with the same shape as the common terminal.
6. Using the identification system ZT, unified terminal identification can be realized.
7. The rich graphics enhance the three-dimensional sense of the wiring system.
It's no easy task to uncover the mysteries of the deepest parts of the human brain. But what if you could send a tiny micro-nanobot into your brain to explore and gather information? This may sound like science fiction, but it's an intriguing concept that researchers are beginning to take seriously. The big question is: how can we control these microscopic robots once they're inside the body?
A team from the National Technical University of Athens has come up with a creative solution inspired by nature. They've proposed using bat-like sonar systems to guide the movement of nanobots inside the brain. Last month, at the IEEE Engineering in Medicine and Biology Society conference in Orlando, Florida, the team presented computer simulations showing that just four micro-robots could locate a small tumor within minutes.
Engineers around the world are working on developing various types of nanobots, especially those capable of delivering drugs precisely within the body. However, the research group led by Panagiotis Katrakazas at the National Technical University of Athens has a different focus: detecting hard-to-find brain lesions deep within the brain.
Katrakazas explained, "The idea is to inject nanobots into the body, let them move through the brain, and use their interaction with neurons to identify the exact location of any damage. Once located, we can either deliver medication or perform targeted surgery."
One of the key methods being explored involves the nanobots "pinching" neurons as they move. Healthy neurons respond with electrical signals, while damaged ones do not. This allows the nanobots to assess the condition of the surrounding tissue.
But the biggest challenge remains: how to make multiple nanobots work together efficiently. To address this, Katrakazas' team developed an algorithm based on the behavior of bat colonies. Bats use echolocation to navigate and hunt, and this natural system served as inspiration for the algorithm.
The team has now applied this algorithm to a device similar to an EEG scanner, simulating how bats use sound signals to navigate. By sending acoustic signals through the device, they hope to guide the nanobots inside the brain.
Although the concept has been tested in simulations, there's still a long road before such "bat-inspired" nanobots can be tested in humans. Roderich Gross from the University of Sheffield points out that one of the first hurdles is determining which technology will allow these tiny robots to both sense and emit sound signals.
Despite the challenges, Katrakazas remains optimistic. She believes that within a few years, a complete system could be ready for human trials. "Some doctors have already shown interest," she said, adding that the future of medical nanotechnology is full of promise.