Abstract: The present disclosure provides a flexible microwave power transistor and a preparation method thereof. In view of great lattice mismatch and poor performance of a device prepared with a Si substrate in an existing preparation method, the preparation method of the present disclosure grows a gallium nitride high electron mobility transistor (GaN HEMT) layer on a rigid silicon carbide (SiC) substrate to avoid lattice mismatch between a silicon (Si) substrate and gallium nitride (GaN), improving performance of the flexible microwave power transistor. Moreover, in view of problems such as low output power, power added efficiency and power gain with the existing device preparation method, the present disclosure retains part of the rigid SiC substrate and grows a flexible substrates at room temperature to prepare a high-quality device. The present disclosure has greatly improved power output capability, efficiency and gain, and basically unchanged performance of device under 0.75% of stress.

Abstract: The present disclosure discloses a novel strain of Glutamicibacter, derived from insects, which efficiently degrades bifenthrin, belonging to the field of microbial strains. The Glutamicibacter CCTCC NO: M20221445 of the present disclosure was isolated from the intestinal tract of bifenthrin-resistant Ectropis grisescens Warren larvae. It exhibits unique genomic characteristics, growth and phenotypic traits, physiological and biochemical characteristics, as well as the ability to utilize and degrade bifenthrin efficiently. Specifically, it can effectively degrade bifenthrin. Based on phenotypic features, physiological and biochemical characteristics, chemical composition, and molecular biology-based polyphasic classification, Glutamicibacter CCTCC NO: M20221445 is identified as a new species. This bacterium possesses the capability to efficiently degrade bifenthrin, laying the foundation for biological control of E. grisecens and offering new microbial resources to address pesticide residue problems.

Abstract: A method and system for automatically processing images from a micro-array uses an image processor that is controlled by software. The software controls the microprocessor to process images to ensure that the images meet a predetermined threshold. The microprocessor automatically calculates a size of spot image, a spacing between adjacent spot images, generates a first grid and adjusts the first grid to fit the spot images being processed.

Abstract: A method and system for automatically processing images from a micro-array uses an image processor that is controlled by software. The software controls the microprocessor to process images to ensure that the images meet a predetermined threshold. The microprocessor automatically calculates a size of spot image, a spacing between adjacent spot images, generates a first grid and adjusts the first grid to fit the spot images being processed.