Abstract: A servo control method for a multi-joint hydraulic manipulator based on adaptive sliding mode is provided. A motion trajectory of an end of the multi-joint hydraulic manipulator in a workspace is generated, and expected angular displacement, angular velocity and angular acceleration of individual joints are calculated. An actual angular displacement and an actual angular velocity of the individual joints under a current position-pose are calculated. Combined with a dynamic model of the manipulator, a driving force of individual joints is calculated. Based on the expected angular displacement, the actual angular displacement and the driving force, a sliding-mode surface is constructed. The adaptive law is updated to perform adaptive sliding-mode control for the manipulator. A system for implementing the servo control method is also provided.

Abstract: A method for preparing xanthate by a slurry method includes steps of: adding a mixture of dichloromethane and carbon disulfide as a reaction solvent in a slurry reactor, and then adding alcohol and caustic alkali to react with carbon disulfide under less than 1 atm to remove heat released by the reaction by evaporating the solvent; performing vacuum distillation after the reaction to remove the solvent and water, so as to obtain the xanthate; transporting the xanthate to a granulation equipment for granulating, and then drying in a drying equipment to obtain a product. The method is performed in a system formed by a reaction equipment, a solvent recovery equipment, the granulation equipment, and the drying equipment, wherein a main equipment of the reaction system is a slurry reactor. The method has advantages of high efficiency, low energy consumption, good safety, environmental friendliness, convenient operation and the like.

Abstract: Methods and systems are provided for processing an image. The method may include selecting one or more tiles in a first image. The method may also include performing, for each of the one or more tiles, an image processing operation on an image processing region within the tile based on a second image for K iterations, decreasing the size of the image processing region with each iteration, wherein K is an integer above 2.

Abstract: Provided are an Akkermansia muciniphila strain and use thereof in preventing and treating metabolic diseases. This strain is named Akkermansia muciniphila SSYD-3 and the accession number thereof is CGMCC No. 14764. This strain is more ideal than the existing Akkermansia strain ATCC BAA835 in respect of fermentation performance, storage stability, acid and bile resistance, and the effect on treating metabolic diseases.

Abstract: Disclosed is an anti-leakage device for a hydrogen storage container. A sealing assembly is connected to a right side of a tank body of an anti-leakage device, an impurity removing assembly is connected to a lower side of the tank body, and the impurity removing assembly is connected to the sealing assembly. By adopting the technical solution above, if the leakage occurs from the hydrogen storage container, hydrogen leaks into an inner cavity of the tank body, and an anti-leakage effect is achieved by intercepting and collecting the hydrogen. With the increase of the amount of hydrogen collected in the inner cavity of the tank body, an air pressure in the tank body increases, and a high-pressure gas pushes a first linkage block and a sealing sleeve to move to the right, making the contact between the sealing sleeve and a first cylinder closer.

Abstract: A refrigerant distributor (4) includes: a box body (42); a refrigerant inlet (41) arranged on an upper surface (421) of the box body (42); liquid exit openings (46) evenly arranged on a lower surface (422) of the box body (42); and end plates arranged at both ends of the box body (42) in a length direction and enclosing the box body (42) from the two ends; wherein, in a height direction from the lower surface (422) of the box body (42) to the upper surface (421) and within a predetermined height range starting from the lower surface (422), a width of the box body (42) increases gradually; and a pre-distributor (3) is arranged inside the box body (42).

Abstract: Application of glutamate dehydrogenase GdhA of Peptostreptococcus asaccharolyticus in increasing the yield of poly-?-glutamic acid from Bacillus licheniformis. The glutamate dehydrogenase GdhA of the Bacillus licheniformis WX-02 per se is replaced with the glutamate dehydrogenase derived from the Peptostreptococcus asaccharolyticus by means of homologous recombination, which significantly increases the level of synthesizing the poly-?-glutamic acid for the Bacillus licheniformis, and the yield of the obtained poly-?-glutamic acid from strains is increased at least by more than 20% compared with control strains.

Abstract: The present disclosure relates to a synaptic weight training method, a target identification method, an electronic device and a storage medium. The synaptic weight training method includes: inputting spike signals corresponding to training samples into a spiking neural network to be trained; learning a target synaptic weight in the spiking neural network with a back propagation rule to obtain a first branch weight; and learning the target synaptic weight with a synaptic plasticity rule to obtain a second branch weight; and updating the target synaptic weight according to the first branch weight and the second branch weight.

Abstract: Provided are methods and compositions from reprogramming human glial cells into human neurons. The reprogramming is achieved using combinations of compounds that can modify signaling via Transforming growth factor beta (TGF-?), Bone morphogenetic protein (BMP), glycogen synthase kinase 3 (GSK-3), and ?-secretase/Notch pathways. The reprogramming is demonstrated using groups of three or four compounds that are chosen from the group thiazovivin, LDN193189, SB431542, TTNPB, CHIR99021, DAPT, VPA, SAG, purmorphamine. Reprogramming is demonstrated using the group of LDN193189/CHIR99021/DAPT, the group of B431542/CHIR99021/DAPT, the group of LDN193189/DAPT/SB431542, the group of LDN193189/CHIR99021/SB431542, a three drug combination of SB431542/CHIR99021/DAPT. Reprogramming using functional analogs of the compounds is also provided, as are pharmaceutical formulations that contain the drug combinations.

Abstract: Embodiments of systems and methods for enhanced drift remediation with causal methods and online model modification are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: detect drift in an Artificial Intelligence (AI) or Machine Learning (ML) model configured to make a prediction or a causal reasoning graphical or structural inference based upon input data, identify a root cause of the drift, and tag the input data with an indication of the root cause.

Abstract: An application of a Lactobacillus fermentum in preparing products for preventing and/or treating thrombosis is provided in the present application, belonging to the technical field of microorganisms. The present application also discloses an inhibitory effect of a strain of Lactobacillus fermentum CQPC04 (LF-CQPC04) on thrombosis.

Abstract: Disclosed are a Bacillus coagulans and its application for improving constipation, belonging to the field of microbial strains. The Bacillus coagulans disclosed in the present application is preserved in China General Microbiological Culture Collection Center (CGMCC) on Nov. 10, 2021, with a preservation number of CGMCC No. 23766 and a preservation address of the Institute of Microbiology, Chinese Academy of Sciences, No. 3, Yard No. 1 Beichen West Road, Chaoyang District, Beijing.

Abstract: Provided are methods and compositions from reprogramming human glial cells into human neurons. The reprogramming is achieved using combinations of compounds that can modify signaling via Transforming growth factor beta (TGF-?), Bone morphogenetic protein (BMP), glycogen synthase kinase 3 (GSK-3), and ?-secretase/Notch pathways. The reprogramming is demonstrated using groups of three or four compounds that are chosen from the group thiazovivin, LDN193189, SB431542, TTNPB, CHIR99021, DAPT, VPA, SAG; purmorphamine. Reprogramming is demonstrated using the group of LDN193189/CHIR99021/DAPT, the group of B431542/CHIR99021/DAPT, the group of LDN193189/DAPT/SB431542, the group of LDN193189/CHIR99021/SB431542, a three drug combination of SB431542/CHIR99021/DAPT. Reprogramming using functional analogs of the compounds is also provided, as are pharmaceutical formulations that contain the drug combinations.

Abstract: A method including receiving data including an impression value and an attribution value for a list item in an advertising campaign is provided. The method includes correlating the data with multiple advertising attributes of the advertising campaign to identify a salient attribute for an expected result of the advertising campaign. The method also includes modifying the salient attribute in an advertisement payload for the list item and providing the advertisement payload including the salient attribute to a server in a network for distribution among users communicatively coupled to the network. A system and a non-transitory, computer-readable medium storing instructions to cause the system to perform the above method are also provided.

Abstract: The present disclosure relates to a synaptic weight training method, a target identification method, an electronic device and a storage medium. The synaptic weight training method includes: inputting spike signals corresponding to training samples into a spiking neural network to be trained; learning a target synaptic weight in the spiking neural network with a back propagation rule to obtain a first branch weight; and learning the target synaptic weight with a synaptic plasticity rule to obtain a second branch weight; and updating the target synaptic weight according to the first branch weight and the second branch weight.

Abstract: There are provided a backlight assembly (1) and a display device, the backlight assembly (1) includes a light source substrate (10), a microstructure film layer (30) and a backlight film material layer (20); the backlight film material layer (20) is located on a light outgoing side of the light source substrate (10), the microstructure film layer (30) is provided between the light source substrate (10) and the backlight film material layer (20), the microstructure film layer (30) includes a light transmission layer (301) and a microstructure region (302); the microstructure region (302) is provided at an edge position of the microstructure film layer (30).

Abstract: A backlight module and a display device are disclosed. The backlight module includes a light emitting element array including a plurality of light emitting elements that emit blue light; a quantum dot film disposed on a light-emergent side of the light emitting element array and having a middle area and an edge area, the edge area surrounding the middle area; and a light conversion layer disposed on the light-emergent side of the light emitting element array, wherein an orthographic projection of the light conversion layer on the quantum dot film is located in the edge area of the quantum dot film, a material of the light conversion layer includes a first light conversion material configured to emit red light under excitation of light from the light emitting element and a second light conversion material configured to emit green light under excitation of light from the light emitting element.

Abstract: Embodiments of systems and methods for enhanced drift remediation with causal methods and online model modification are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: detect drift in an Artificial Intelligence (AI) or Machine Learning (ML) model configured to make a prediction or a causal reasoning graphical or structural inference based upon input data, identify a root cause of the drift, and tag the input data with an indication of the root cause.

Abstract: Embodiments of systems and methods for multi-observer, consensus-based ground truth are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: detect an observation overlap between two or more devices; identify a consensus between Artificial Intelligence (AI) or Machine Intelligence (ML) model inferences made based upon data received by the two or more devices; and in response to the identification, tag at least a subset of the data with a ground truth label.

Abstract: Embodiments of systems and methods for model prediction confidence utilizing drift are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: identify drift with respect to an Artificial Intelligence (AI) or Machine Learning (ML) model; and adjust a confidence score of a prediction or inference produced by the AI/ML model based, at least in part, upon the drift.