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A researcher from Renmin Hospital of Wuhan University in China has published new data on the use of machine learning and natural language processing algorithms in the remote mobile medical diagnosis system of internet hospitals. The study aimed to integrate internet technology into the medical field and improve the accuracy of medical diagnoses. The research found that the remote mobile medical diagnosis system based on machine learning achieved an accuracy of 80% or higher compared to traditional systems. The study suggests that this system has a broad application prospect and can accommodate more than 10,000 people simultaneously. [Extracted from the article]

Researchers at Yancheng Teachers University in China have developed a new color image-encryption algorithm to enhance the security of digital images. The algorithm utilizes extended DNA coding, Zig-Zag transform, and a fractional-order laser system to encrypt the images. The researchers analyzed the chaotic sequences generated by the laser system and used them to design the encryption algorithm. The algorithm was found to have strong encryption capabilities and can withstand multiple decryption methods. This research contributes to the field of information and data encoding and encryption, ensuring the integrity and secure communication of digital images. [Extracted from the article]