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Cheerwing, was founded in 2017 and began to sell RC hobby products, like rc car, rc boats, rc helicopter, rc drones. Since 2017, we have tried to provide more kinds of rc toys for all kinds of customers with different design and updated functions to meet different needs of customer.

We have professional manufacturers with well-equipped facilities and excellent quality control throughout all the stages of production…Cheerwing are devoted to offering high quality product and outstanding after-sales service to keep our customer satisfied.

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Dielectric mirrors, also referred to as Bragg mirrors, reflect light nearly completely. Hence, they are suited for various applications, such as camera systems and sensor systems for microscopy and medical technologies. So far, such mirrors have been produced by complex processes in expensive vacuum devices. Researchers from Karlsruhe Institute of Technology (KIT) now are the first to print Bragg mirrors of high quality with inkjet printers. This may pave the way towards the digital manufacture of customized mirrors.

Research results are published in Advanced Materials (“Fabrication of Bragg Mirrors by Multilayer Inkjet Printing”).

Bragg mirrors are produced by applying several thin layers of materials onto a carrier. The resulting optical mirror specifically reflects the light of a certain wavelength. Reflectivity of a Bragg mirror depends on the materials, the number of layers applied, and their thicknesses. So far, Bragg mirrors have been produced in expensive vacuum production facilities. KIT researchers now were the first to print them on different carriers. This largely facilitates production.

Studies say that by combining historical accident data with road maps, satellite imagery, and GPS, a machine learning model is trained to create high-resolution crash maps, we might be getting ever so closer to safer roads. Technology has changed a lot over the years such as GPS systems that eliminated the need to memorize streets orally, sensors and cameras that warn us of objects that are close to our vehicles, and autonomous electric vehicles. However, the precautions we take on the road have largely remained the same. In most places, we still rely on traffic signs, mutual trust, and the hope that we’ll reach our destination safely.

With a view to finding solutions to the uncertainty underlying road accidents, researchers at the MIT Computer Science and Artificial Intelligence Laboratory have been working with the Qatari Center for Artificial Intelligence to develop a deep learning model that can predict high-resolution maps of accident risks. The model calculates the number of accidents predicted for a specific future time frame using past accident data, road maps, simulations and GPS traces. Thus, high-risk zones and future crashes can be identified using the map.

According to reports by homelandsecuritynewswire.com, maps of this type have been captured so far at much lower resolutions, resulting in a loss of vital information. Former attempts have relied mostly on hystorical crash data, whereas the research team has compiled a wide base of critical information, identifying high-risk areas by analyzing GPS signals that provide data on traffic density, speed, and direction, along with satellite imagery that provides data on road structures. They observed that highways, for example, are more hazardous than nearby residential roads, and intersections and exits to highways are even more dangerous than other highways.

Move over, Elon Musk and Richard Branson: A Canadian company wants to join the fight for better high-speed train travel.

Toronto-based TransPod recently unveiled plans for a “FluxJet,” a fully-electric transportation system that’s “a hybrid between an aircraft and a train.” The project, currently in the conceptual stage, would involve 82-foot-long, magnetically levitated trains that would carry passengers at roughly 621 miles per hour.

Continue reading “This Canadian company wants to build a train-plane ‘hybrid’ that can go 620 miles per hour—take a look” »

Testing of the trains started four years ago, and their initial implementation date was meant to be in 2021. The pandemic squashed that timeline, but late last month Alstom, the French company making the trains, announced the start of passenger service.

Five Coradia iLint trains started carrying passengers in August, and nine more will replace the diesel trains currently running on a route in Bremervörde, Lower Saxony by the end of this year.

The only byproducts from the trains’ operation are steam and water; any heat created is used to help power their heating and air conditioning systems. They have a range of 1,000 kilometers (621 miles), meaning they can run on a single tank of hydrogen for a full day. Their maximum speed is 140 kilometers per hour (87 miles per hour), but their average speeds are lower than this.

One of the major current theories of consciousness is that brain oscillations, also called brain waves, correlate with specific mental states. It is the synchronous waves from different regions, that is, those that are beating at the same rate, that are believed to be important for the connection of different brain regions. Brain waves have been observed for more than a hundred years, but it is still not clear exactly what they are and what they have to do with the function of the brain and the mind.

Oscillations in the brain occur because of an interplay between two forces, such as stimulation and inhibition. This dynamic can either come from two different cortical layers or a cortical and subcortical layer. Feedback properties affect the oscillations by either continuing the give and take of the two forces or changing them in various ways. Even with no outside input, the brain creates spontaneous oscillations; a well-known example is the one, connected to the thalamus and cortex, that occurs during sleep. Currently, it is believed that these oscillations help to synthesize and filter the previous day’s memories. While these oscillations are associated with sleep, most other brain oscillations are not clearly correlated with mental states.

Ever since we’ve had the technology, we’ve looked to the stars in search of alien life. It’s assumed that we’re looking because we want to find other life in the universe, but what if we’re looking to make sure there isn’t any?

The California-based Matternet has been testing its Model M2 drone over the past four years in the US as part of the FAA’s Unmanned Aircraft System (UAS) program. Matternet says getting the green light from the FAA could help streamline the process of “implementing new networks and getting approvals.”

Matternet partnered with UPS in 2019 to deliver medical supplies in North Carolina, and later started delivering prescriptions in Florida. Matternet also expanded its footprint to Switzerland, where it teamed up with the Swiss Post to deliver lab samples and blood tests. The program was briefly suspended in 2019 after its drones suffered two crashes in the country, but Matternet has since announced that it’s taking over the Swiss Post’s drone delivery program starting in 2023.

In a statement, the FAA says Matternet’s Model M2 drone “meets all federal regulations for safe, reliable and controllable operations and provides a level of safety equivalent to existing airworthiness standards applicable to other categories of aircraft.” The four-rotor drone’s been approved to carry four-pound payloads and fly at an altitude of 400 feet or lower with a maximum speed of 45mph.