Abstract: A method for treating refractory organic pollutants in wastewater including: synthesizing an aluminum-based metal oxide with a high specific surface area and surface hydroxyl content; mixing organic pollutants, an oxidant, and chloride ions to yield a reaction solution; adjusting an initial pH value of the reaction solution; and adding the aluminum-based metal oxide to the reaction solution.

Abstract: A method for administering a composition for exploiting natural gas hydrates. The method includes the following steps: injecting the reagent A into the tube A; injecting the reagent B into the tube B; stretching the tube A and the tube B into a hydrate reservoir by using a reagent injection instrument; regulating a flow rate according to a proportion of each component; allowing the reagents to react at a preset reservoir position; and allowing water in the reservoir to participate in the reaction at the same time, wherein a reaction product is used for supporting the reservoir.

Abstract: A waveform design method, an integrated communication, sensing and computation system, and a related device are disclosed. The waveform design method includes: constructing a first constraint condition related to a receiving beamformer and two restrictive conditions related to a transmitting beamformer; constructing a first optimization condition set and a second optimization condition set according to the first constraint condition and the different restrictive conditions; solving the first optimization condition set and the second optimization condition set respectively in different operating modes, so that optimization values for the receiving beamformer and the transmitting beamformer in the different operating modes can be obtained, and a transmitted waveform can be designed according to the optimization values.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that utilize a deep visual fingerprinting model with parameters learned from robust contrastive learning to identify matching digital images and image provenance information. For example, the disclosed systems utilize an efficient learning procedure that leverages training on bounded adversarial examples to more accurately identify digital images (including adversarial images) with a small computational overhead. To illustrate, the disclosed systems utilize a first objective function that iteratively identifies augmentations to increase contrastive loss. Moreover, the disclosed systems utilize a second objective function that iteratively learns parameters of a deep visual fingerprinting model to reduce the contrastive loss.

Abstract: A compound targeting HDAC and NAD synthesis and a pharmaceutically acceptable salt, hydrate, deuterate, isomer or prodrug thereof, as well as preparation and application thereof. Specifically, a compound shown in structural general formula (I) and a pharmaceutically acceptable salt, hydrate, deuterate, isomer or prodrug thereof are provided. The compound of the structural general formula (I) is a multi-target inhibitor, targeting HDAC and NAD targets, and exhibiting significant HDAC inhibitory activity, while representative compounds exhibit certain NAD inhibitory activity.

Abstract: A multifunctional immunity-targeted micromolecule anti-cancer medicine Citrate Bestazomib and preparation method and application thereof. The structure of the multifunctional immunity-targeted micromolecule anti-cancer medicine Bestazomib Citrate is shown as follows: The multifunctional immunity-targeted micromolecule anti-cancer medicine Citrate Bestazomib has an activity-inhibiting effect on APN/CD13, also has an activity-inhibiting effect on tumor proteasome, and can be applied to the development of medicines for treating malignant tumors.

Abstract: Systems and methods for image processing are described. Embodiments of the present disclosure identify an original image depicting a face, identify a scribble image including a mask that indicates a portion of the original image for adding makeup to the face, and generate a target image depicting the face using a machine learning model based on the original image and the scribble image, where the target image includes the makeup in the portion indicated by the scribble image.

Abstract: The present application relates to an intention recognition method and apparatus, a readable medium, and an electronic device. The method includes: by means of a preset intention recognition quantification model, performing a quantification operation on a dot product of a query vector and a key vector which correspond to each character in a target text, so as to obtain a fixed-point type target vector of a first bit; according to the fixed-point type target vector, determining, by means of a target mapping relationship, a floating-point type attention weight of a second bit corresponding to each character; and according to the floating-point type attention weight, determining a target intention corresponding to the target text, the first bit being smaller than the second bit.

Abstract: The present invention relates to a method for treatment of sepsis in a subject comprising administering a pharmaceutical composition comprising an effective amount of allogeneic Natural Killer cells to said subject, and to methods for predicting a subject's susceptibility to such method of treatment.

Abstract: Methods for configuring a patterning process based on results of another patterning process is described. The method includes obtaining a first set of contours by simulating a first patterning process using a design layout in a first orientation. The contours satisfy a design specification associated with the design layout and correspond to a first set of process window conditions. A second patterning process is configured based on a second orientation of the design layout, the first set of process window conditions and the first set of contours. The second patterning process is associated with one or more design variables (e.g., illumination, mask pattern) that affect a second set of contours. The configuring includes adjusting one or more design variables until the second set of contours are within a desired matching threshold with the first set of contours.

Abstract: A data processing method and data processing apparatus are provided. The data processing method includes: acquiring multiple input tensors as input parameters for calculation process; for each input tensor, using M input sub-tensors that are combined to represent the input tensor; for each of the input tensors, replacing the input tensors with the M input sub-tensors that are combined to represent the input tensor, and performing the calculation process to obtain a calculation result. The data processing method increases the applicable scenarios of calculation process, effectively utilizes the powerful calculation ability of the originally provided low-accuracy floating points, and greatly improves the overall calculation efficiency.

Abstract: A method for administering a composition for exploiting natural gas hydrates. The method includes the following steps: injecting the reagent A into the tube A; injecting the reagent B into the tube B; stretching the tube A and the tube B into a hydrate reservoir by using a reagent injection instrument; regulating a flow rate according to a proportion of each component; allowing the reagents to react at a preset reservoir position; and allowing water in the reservoir to participate in the reaction at the same time, wherein a reaction product is used for supporting the reservoir.

Abstract: The present invention relates to a reagent for exploiting natural gas hydrates, which includes a regent A and a regent B. The reagent A is PEG400-polyurethane prepolymer; the reagent B includes PEG400 and an initiator; and a volume ratio of the PEG400-polyurethane prepolymer, the PEG400 and the initiator is (1-3000):(1-1000):(1-2000). The reagent of the present invention has excellent performance and high stability, and can effectively “replace” the “water” of the natural gas hydrate; and moreover, the reaction is exothermic reaction to effectively increase the reaction rate, which reduces the energy loss on the one hand, and reduces the blockage of a gas passage caused by the secondary generation of the natural gas hydrates in a low-temperature high-pressure pipeline during transferring on the other hand.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that utilize a deep visual fingerprinting model with parameters learned from robust contrastive learning to identify matching digital images and image provenance information. For example, the disclosed systems utilize an efficient learning procedure that leverages training on bounded adversarial examples to more accurately identify digital images (including adversarial images) with a small computational overhead. To illustrate, the disclosed systems utilize a first objective function that iteratively identifies augmentations to increase contrastive loss. Moreover, the disclosed systems utilize a second objective function that iteratively learns parameters of a deep visual fingerprinting model to reduce the contrastive loss.

Abstract: The present invention relates to a reagent for exploiting natural gas hydrates, which includes a regent A and a regent B. The reagent A is PEG400-polyurethane prepolymer; the reagent B includes PEG400 and an initiator; and a volume ratio of the PEG400-polyurethane prepolymer, the PEG400 and the initiator is (1-3000):(1-1000):(1-2000). The reagent of the present invention has excellent performance and high stability, and can effectively “replace” the “water” of the natural gas hydrate; and moreover, the reaction is exothermic reaction to effectively increase the reaction rate, which reduces the energy loss on the one hand, and reduces the blockage of a gas passage caused by the secondary generation of the natural gas hydrates in a low-temperature high-pressure pipeline during transferring on the other hand.

Abstract: A performance analysis system includes a picker module and a calculation circuit. The picker module is placed in the processing device to capture a plurality of pieces of time information of a unit circuit of each of a plurality of tasks in the processing device during total execution time of processing the plurality of tasks. The calculation circuit performs an interval analysis operation on the time information. The interval analysis operation includes: calculating an overlap period between a current task and a previous task; and counting time occupied by the unit circuit during the total execution time of processing the tasks by the processing device according to a relation between the current time interval of the current task corresponding to the unit circuit and the overlap period.

Abstract: The invention discloses a stent delivery system capable of accurately positioning. The system comprises a movable sheathing canal, a fixed sheathing canal and a stent, the fixed sheathing canal is used for fixing stent, the movable sheathing canal comprises a handle, a stent length buckle, an inner sheathing canal, a sheathing canal inclined part, an outer sheathing canal and an outer sheathing positioning marking part, and the sheathing canal inclined part and the outer sheathing canal are integrally formed, and are arranged at front end of inner sheathing canal. The invention provides an accurate-positioning proximal end pre-release stent delivery system and method, which is simple in structure and convenient to use. The invention can realize accurate positioning of the proximal-end of the stent, that is, the invention can prevent stent from being too long or too short due to proximal-end inaccurate release of the stent through proximal-end accurate positioning.

Abstract: A micro-processor circuit and a method of performing neural network operation are provided. The micro-processor circuit is suitable for performing neural network operation. The micro-processor circuit includes a parameter generation module, a compute module and a truncation logic. The parameter generation module receives in parallel a plurality of input parameters and a plurality of weight parameters of the neural network operation. The parameter generation module generates in parallel a plurality of sub-output parameters according to the input parameters and the weight parameters. The compute module receives in parallel the sub-output parameters. The compute module sums the sub-output parameters to generate a summed parameter. The truncation logic receives the summed parameter. The truncation logic performs a truncation operation based on the summed parameter to generate a plurality of output parameters of the neural network operation.

Abstract: A micro-processor circuit and a method of performing neural network operation are provided. The micro-processor circuit is suitable for performing neural network operation. The micro-processor circuit includes a parameter generation module, a compute module and a compare logic. The parameter generation module receives in parallel a plurality of input parameters and a plurality of weight parameters of the neural network operation. The parameter generation module generates in parallel a plurality of sub-output parameters according to the input parameters and the weight parameters. The compute module receives in parallel the sub-output parameters. The compute module sums the sub-output parameters to generate a summed parameter. The compare logic receives the summed parameter. The compare logic performs a comparison operation based on the summed parameter to generate a plurality of output parameters of the neural network operation.

Abstract: The present invention relates to the field of metal additive manufacturing, and disclosed thereby is a method for printing a structure of a combustion chamber liner by using GRCop-84 spherical powder. The method mainly comprises the following steps: (1) establishing a model; (2) configuring printing parameters; (3) performing laser printing; (4) performing annealing treatment; and (5) performing surface sandblasting. The present invention uses GRCop-84 spherical powder as the material of a combustion chamber liner model, and said material has excellent electrical conductivity, thermal expansion, strength, creep resistance, ductility, fatigue and like properties, and the comprehensive performance thereof is excellent, which significantly improves the performance of a rocket engine. In the GRCop-84 spherical powder material of the present invention, Cr and Nb form a Cr2Nb phase, and the volume fraction of a second phase is about 14%, same being evenly distributed in a copper matrix.