Abstract: This application discloses a calibration method, a calibration system, and a calibration board. The calibration board includes checkerboard cells arranged on a surface of the calibration board, where at least one dot is arranged in each of the checkerboard cells, the dots of the calibration board include at least a first feature dot and a second feature dot, the first feature dot and the second feature dot are arranged in the checkerboard cells according to a random rule or a specific rule, and a diameter of the first feature dot is greater than a diameter of the second feature dot. The calibration board in this application improves the stability and accuracy of calibration board detection by utilizing characteristics such as a high detection accuracy and a strong anti-blur capability of a dot mark, combining with corner points of checkerboard cells.

Abstract: The present disclosure relates to targeting moieties such as peptides that can bind to DLL3. The disclosure also provides targeting constructs, which may include a targeting moiety attached, via an optional linker, to a chelating agent for association of a cargo. Methods of making the constructs and formulations thereof are also provided. Methods of using the constructs and/or formulations thereof to treat subjects, for example, to treat or prevent cancer, are also described.

Abstract: The present disclosure relates to targeting moieties such as peptides and antibodies that can bind to DLL3. The disclosure also provides targeting constructs, which may include a targeting moiety attached, via an optional linker, to a chelating agent for association of a cargo. Methods of making the constructs and formulations thereof are also provided. Methods of using the constructs and/or formulations thereof to treat subjects, for example, to treat or prevent cancer, are also described.

Abstract: A memory allocation method for a neural network includes determining information about N memory blocks, sorting the N memory blocks in descending order based on sizes of the N memory blocks, allocating a first memory block to the neural network, to perform an operation for a first node set in the neural network, determining whether a memory block in an allocated set is reusable for an nth memory block, where the allocated set includes a memory block that has been allocated to the neural network, if the memory block in the allocated set is reusable for the nth memory block, allocating, to the neural network, the memory block to perform an operation for an nth node set in the neural network, then updating the allocated set, and sequentially performing the foregoing determining from n=2 to n=N based on the sort sequence.

Abstract: The present disclosure relates to an aqueous formulation of an oil-soluble corrosion inhibitor, and a preparation method and a regeneration method thereof.

Abstract: The present invention relates to a method for testing the presence or level of one or more target nucleic acids in a sample, and further relates to a probe set and a kit comprising one or more probe sets.

Abstract: A memory allocation method for a neural network includes determining information about N memory blocks, sorting the N memory blocks in descending order based on sizes of the N memory blocks, allocating a first memory block to the neural network, to perform an operation for a first node set in the neural network, determining whether a memory block in an allocated set is reusable for an nth memory block, where the allocated set includes a memory block that has been allocated to the neural network, if the memory block in the allocated set is reusable for the nth memory block, allocating, to the neural network, the memory block to perform an operation for an nth node set in the neural network, then updating the allocated set, and sequentially performing the foregoing determining from n=2 to n=N based on the sort sequence.

Abstract: The present disclosure relates to methods for reducing host cell protein content in antibody preparation recombinantly produced in a host cell in the manufacturing process of antibodies intended for administration to a patient. The disclosed methods may be performed in order to prepare therapeutic antibody preparations having reduced host cell protein.

Abstract: Mammalian cell lines with reduced expression and/or activity of lipases/esterases, and methods of producing the same are provided. Also provided are compositions comprising polysorbate and recombinant proteins produced in said mammalian cells which have improved polysorbate stability.

Abstract: A memory allocation method for a neural network includes determining information about N memory blocks, sorting the N memory blocks in descending order based on sizes of the N memory blocks, allocating a first memory block to the neural network, to perform an operation for a first node set in the neural network, determining whether a memory block in an allocated set is reusable for an nth memory block, where the allocated set includes a memory block that has been allocated to the neural network, if the memory block in the allocated set is reusable for the nth memory block, allocating, to the neural network, the memory block to perform an operation for an nth node set in the neural network, then updating the allocated set, and sequentially performing the foregoing determining from n=2 to n=N based on the sort sequence.

Abstract: A water bottle includes a spout including an externally threaded neck, two opposite first lugs at two sides of the externally threaded neck respectively, each first lug including a first hole, and an internally threaded cap secured to the externally threaded neck; a container including a body, two opposite second lugs at two sides of the body respectively, each second lug including a second hole, a hollow handle having two ends communicating with contents in the body, and a channel disposed between the handle and an intermediate portion of the body; and a strap including two rings at two ends respectively. The rings are hung on the first hole and the second hole of the same side of the body respectively or hung on the first holes respectively.

Abstract: A tissue chip core-making system based on image recognition and positioning and a core-making method thereof—includes a cutting system and a computer control system. The cutting system includes a numerical control cutting machine, XYZ-axis translation worktables, a 360° rotation turntable, a recipient wax block rack, a freezing table and an image recognition and positioning module. A core-making process based on the core-making system includes: lofting, sample position recognition, tissue sample image acquisition, tissue sample image processing, cutting parameter setting, tissue sample cutting, tissue core information recognition and storage to obtain a tissue core with information traceability. The method obtains a coring region through visual recognition, and has the characteristics of high automation degree and high work efficiency.