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 linkage device for implementing no backrest clearance, a supporting frame, a seat unit, and a seat, including a bottom base, a linkage mechanism, a support side plate, and a backrest mechanism; the support side plate is provided with a side plate linkage point and a backrest point; the support side plate is rotatably connected to the linkage mechanism at the side plate linkage point; the support side plate is rotatably connected to the backrest mechanism at the backrest point; the backrest mechanism includes a backrest mounting member and a backrest linkage member; and when the backrest mechanism is retracted to an ultimate position, an included angle ? between a connecting line between two ends of the backrest mounting member and a connecting line between the backrest point and the side plate linkage point is an acute angle.

Abstract: Methods and systems for deep learning alignment for semiconductor applications are provided. One method includes transforming design information for an alignment target on a specimen to a predicted image of the alignment target by inputting the design information into a deep learning model and aligning the predicted image to an image of the alignment target on the specimen generated by an imaging subsystem. The method also includes determining an offset between the predicted image and the image generated by the imaging subsystem based on results of the aligning and storing the determined offset as an align-to-design offset for use in a process performed on the specimen with the imaging subsystem.

Abstract: The present disclosure provides a display substrate including: a base substrate, and a thin film transistor, an oxygen supplementing functional layer and an oxygen containing layer formed on the base substrate. The thin film transistor includes: an active layer in direct contact with the oxygen containing layer, and the active layer includes an oxide semiconductor material. The oxygen supplementing functional layer includes a metal oxide material and serves as a first electrode of the display substrate. The oxygen containing layer is between the oxygen supplementing functional layer and the base substrate.

Abstract: Disclosed are a display apparatus and a method for displaying a user interface. In response to a preset instruction, the display apparatus acquires local images to generate a local video stream, plays a local video picture, and displays a graphic element for identifying a preset expected position in a floating layer above the local video picture. When the moving target exists in the local video picture and an offset of a target position of the moving target in the local video picture relative to the expected position is greater than a preset threshold value, a prompt control for guiding the moving target to move to the expected position is presented in the floating layer above the local video picture according to the offset of the target position relative to the expected position.

Abstract: Methods and systems for detecting defects on a specimen are provided. One system performs double detection in which at least one of the reference images compared to a test image is a computed reference image generated from multiple images corresponding to the test image. The other reference image may or may not be computed from more than one of the multiple images. Such a computed reference image may also be a median-based computed reference generated from multiple-median images generated from different subsets of images in a job of images generated by an inspection subsystem for a specimen. Such a system may also group images for a die row on a specimen into different jobs based on color so that different jobs have different color value ranges. Such grouping may also be performed so that each of the jobs includes a number of images greater than a predetermined, minimum job size.

Abstract: The present disclosure provides a modified montmorillonite self-repairing agent and a preparation method and use thereof, and belongs to the technical field of cement repairing materials. Montmorillonite is mixed with water, such that water is fully adsorbed between montmorillonite layers. The structure of montmorillonite is modified by supercritical CO2 treatment at a temperature of 50-60° C. and a pressure of 8-12 MPa, and the self-repairing efficiency of cement is improved by adding the modified montmorillonite into cement. Supercritical CO2 is adsorbed by montmorillonite, such that the montmorillonite is activated and an interlayer distance is increased to improve the repairing efficiency. When a crack is formed in cement, the adsorbed supercritical CO2 in montmorillonite is released into the crack and combined with positive ions to generate carbonate deposition, such that the crack is sealed and the self-repairing activity of the cement is improved.

Abstract: Provided herein are compositions, methods and kits for targeting Cystinosin protein. These compositions, methods and kits may be used for detecting and quantifying Cystinosin in clinical and non-clinical samples.

Abstract: An error information processing method includes, in response to a memory error triggering an interrupt, collecting error information of the memory error that includes a first memory area where the memory error occurs, obtaining a second memory area for writing log information, determining whether the second memory area contains the first memory area, and, in response to determining that the second memory area contains the first memory area, skipping a process of writing the log information into the second memory area.

Abstract: Global and local alignment energies are used in an image contrast metric. The image contrast metric can be used to find optical targets. Some pixels from a gradient magnitude image and a context range image from an optical image can be used to determine the image contrast metric. A heatmap from the image contrast metrics across part of a wafer can then be used to make a list of targets. Upper and lower confidence values can be applied to rank the available targets.

Abstract: With the disclosed systems and methods for DRAM and 3D NAND inspection, an image of the wafer is received based on the output for an inspection tool. Geometric measurements of a design of a plurality of memory devices on the wafer are received. A care area with higher inspection sensitivity is determined based on the geometric measurements.

Abstract: Methods and systems for setting up inspection of a specimen are provided. One system includes one or more computer subsystems configured for acquiring a reference image for a specimen and modifying the reference image to fit the reference image to a design grid thereby generating a golden grid image. The one or more computer subsystems are also configured for storing the golden grid image for use in inspection of the specimen. The inspection includes aligning a test image of the specimen generated from output of an inspection subsystem to the golden grid image.

Abstract: An integrated circuit with a neural network can reduce the number of accesses off circuit by embedding a dedicated processor for each cluster in a neural network. The integrated circuit has a neural network of multiple arithmetic logic units arranged in clusters. Each arithmetic logic unit have one or more computing engines and a local arithmetic memory. The integrated circuit can associate a scheduler with each cluster. The integrated circuit can associate a cluster local memory with each cluster. The integrated circuit can associate a dedicated embedded processor with each cluster. The dedicated embedded processor is capable of performing general purpose operations. The integrated circuit can execute a non-computational operation offloaded from the cluster.

Abstract: An error information processing method includes, in response to a memory error triggering an interrupt, collecting error information of the memory error that includes a first memory area where the memory error occurs, obtaining a second memory area for writing log information, determining whether the second memory area contains the first memory area, and, in response to determining that the second memory area contains the first memory area, skipping a process of writing the log information into the second memory area.

Abstract: A multifunctional catheter includes a catheter main body (1) and a distal tube (2) that are in a multi-channel structure. The distal tube (2) includes a soft end (21) at a proximal end and a functional end (22) at a distal end; a working channel (3) and a lens channel (6) are provided in the catheter main body (1) and the soft end (21), and the functional end (22) is also provided with a through hole communicating with the lens channel (6); the lens channel (6) is of a circular tubular-cavity structure extending along the catheter main body (1) and the soft end (21); and a plurality of accommodating slots (61) are provided on an inner wall of the lens channel (6) to accommodate a photosensitive chip in a lens assembly by the plurality of accommodating slots (61).

Abstract: An imaging catheter and an imaging device relate to a technical field of medical devices. The imaging catheter includes a metal wire tube, a tip and a retaining ring. A metal wire exposed at one end of the metal wire tube forms a conductive end, which is electrically connected with the tip so as to allow the metal wire to be used as a conductive medium to lead static electricity out of the tip, thereby reducing effects of static electricity on a photographing assembly at the tip, and the harm of static electricity to human body. The retaining ring covers the conductive end and is connected with the tip, so as to make the metal wire tube fixedly connected with the tip.

Abstract: An imaging catheter, a tip, a tube body and a medical device, relating to the field of medical instruments, where the imaging catheter includes a tube body and a tip, the tube body includes a first shuttling wall and a second shuttling wall, a first lumen is formed between the first shuttling wall and the second shuttling wall, the tip includes a first mounting wall and a second mounting wall, and a second lumen is formed between the first mounting wall and the second mounting wall. The second lumen is communicated with the first lumen, and a proximal end of the first mounting wall corresponds between the first shuttling wall and the second shuttling wall. A radial distance between a point m and a point n is a, and an inner diameter of the first lumen is b, where a?b.

Abstract: A system may include multiple client devices and a processing device communicatively coupled to the client devices. One or more client devices may implement a greedy approach in searching for an optimal artificial intelligence (AI) model. For example, a client device may use a training dataset to perform an AI task, and update its AI model. The client device may verify the performance of the AI task and determine whether to accept or reject its updated AI model. Upon rejection, the client device may repeat updating its AI model until the updated AI model is accepted, or until a stopping criteria is met. The processing device may be configured to update the initial AI models based on the accepted updated AI models obtained in the multiple client device. Training data for each of the client devices may contain a subset shuffled from a larger training dataset.