Abstract: A method and device for drug combination design by a high-throughput platform and machine learning for optimizing is provided, including: constructing an initial data set for machine learning using the high-throughput platform; inputting the initial data set into a plurality of machine learning models, and training the plurality of regression models; predicting unknown D-amino acid mixtures using the machine learning models and an efficient global optimization algorithm; and conducting experimental iterative feedback on a candidate mixture formula, and conducting high-throughput performance screening on drug combinations of D-amino acid mixtures and a plurality of antibiotics optimized by machine learning. The performance screened is the drug resistance of bacteria to antibiotics, and antibacterial efficiency and cytotoxicity of the drug combinations.

Abstract: The present disclosure discloses a process for evaluating a corrosion inhibitor based on a high-throughput corrosion chip. In the present disclosure, a high-throughput corrosion chip is first prepared by using a chip spotter, and only a corrosion inhibitor and a corrosive substance need to be spotted on a metal sample to quickly, efficiently, and accurately evaluate performance of a corrosion inhibitor formulation, to meet corrosion test conditions such as different substances, different concentrations, and different corrosion duration; and then a corrosion degree of each measurement point in the high-throughput corrosion chip is identified and quantified by using a laser scanning confocal microscope. The high-throughput corrosion chip prepared by using the foregoing method can bear 10-1000 measurement points, and these measurement points can reflect corrosion effects of different inhibitor formulations in different corrosion duration.

Abstract: Disclosed are a superhydrophobic coating with abrasion resistance and a preparation method thereof. The coating has a composite structure formed by a nanohybrid composed of nano-SiO2 and multi-wallet carbon nanotubes, and a resin as a matrix.

Abstract: Embodiments of the present disclosure provide an image detection method, apparatus and system and a non-volatile storage medium. The image detection method includes: compressing an initial image to obtain a compressed image; performing a target detection on the compressed image to obtain a first position information of a target object in the compressed image; and determining a second position information of the target object in the initial image based on the first position information.

Abstract: Embodiments of the present disclosure provide an image detection method, apparatus and system and a non-volatile storage medium. The image detection method includes: compressing an initial image to obtain a compressed image; performing a target detection on the compressed image to obtain a first position information of a target object in the compressed image; and determining a second position information of the target object in the initial image based on the first position information.