Abstract: Provided is an imidazotriazine thiobenzamide derivative of formula (I), A preparation method for the imidazotriazine thiobenzamide derivative, and a use of the imidazotriazine thiobenzamide derivative or an isomer, a pharmaceutically-acceptable salt, or a prodrug thereof in the preparation of drugs for the treatment of cancer are also provided.

Abstract: Systems and methods for redirecting cleaning chemistry flows within a multi-station semiconductor processing chamber are disclosed. In such systems, a cleaning chemistry flow, e.g., a plasma from a remote plasma generator, may be directed onto a hub of an indexer that is centrally mounted within the chamber. The hub may have features that cause the cleaning chemistry flows to be redirected in a radially outward direction. By rotating the hub and/or changing the relative elevational positions between the hub and a cleaning chemistry inlet that provides the cleaning chemistry, the cleaning chemistry may be redirected into different regions of the chamber, thereby allowing for a more thorough and complete cleaning process.

Abstract: An active variable stiffness clamping device for pelvic fracture reduction robot, belonging to the technical field of medical robots. The clamping device includes an affected side adjusting support module and a healthy side fixing module which are in fit with each other. The affected side adjusting support module is provided with a pair of electric pin rod connector modules connected to the affected side adjusting support module. The healthy side fixing module includes a healthy side bed clamp seat, the healthy side bed clamp seat is provided with a healthy side support rod, the healthy side support rod is provided with a healthy side spherical hinge base, and the healthy side spherical hinge base is provided with a pair of healthy side fixers which are in clearance fit with each other.

Abstract: Provided herein are methods to treat brain functional decline during aging, which involve administration of glucagon-like peptide-1 receptor (GLP-1R) agonists (GLP-1RAs) that treat the aging-associated changes of the brain. The GLP-1R agonist is exenatide, liraglutide, lixisenatide, albiglutide, dulaglutide, semaglutide, taspoglutide, PF-06882961, OWL-833, TTP-273, or any other molecule that activates GLP-1R.

Abstract: Provided herein are methods and related apparatus for depositing an ashable hard mask (AHM) on a substrate by providing a wide gap electrode spacing in low-pressure conditions. A wide gap electrode may facilitate control of parasitic plasmas in low-pressure conditions, thereby enabling formation of high selectivity, low stress, and low-hydrogen AHMs. The AHM may then be used to etch features into underlying layers of the substrate.

Abstract: The invention relates to a molecular peptide mutant, the amino acid sequence of which is as shown in SEQ ID NO: 1. In the invention, SpyCatcher is designed and modified to obtain a molecular peptide SpyCatcher-21 with stimulus response to pH on the basis of not affecting the formation of isopeptide bonds, and Pro is introduced into a key loop of the SpyCatcher-21 through analysis of the crystal structure to reduce the flexibility of the loop and obtain a mutant SpyCatcher-21_A82P, which can raise ligation efficiency with SpyTag. The SpyCatcher-21_A82P can be used to achieve double-enzyme catalysis according to objective needs by changing the pH of the environment to obtain different degrees of coupling, or obtain a three-enzyme coupled catalytic system through electrostatic interaction with a positively charged enzyme.

Abstract: A clamping instrument for a robot for pelvic fracture reduction is provided. The clamping instrument comprises an affected-side main frame module, an affected-side secondary frame module, an affected-side lower frame module, a docking module, a bone spike clamp holder and an unaffected-side fixing mount module. The affected-side main frame module is configured for fixing bone spikes at the anterior superior iliac spine of the pelvis, the affected-side secondary frame module is configured for fixing bone spikes at the anterior inferior iliac spine of the pelvis, and the affected-side lower frame module is configured for fixing bone spikes at the ilium of the pelvis; the docking module is configured for quickly connecting the clamping instrument with the surgical robot; the unaffected-side fixing mount module is configured for fixing bone spikes disposed in the pelvis on the unaffected side; and the bone spike clamp holder is configured for clamping bone spikes.

Abstract: The present disclosure relates to a universal and liquid expansion type clamping device for a pelvic fracture reduction robot. The clamping device is composed of an affected side spherical hinge support module, a pin rod clamping part, a rod-rod clamping part, a butt joint module, and a healthy side fixing module. The affected side spherical hinge support module is a main module for the pelvis clamping device, and by adopting a spherical hinge structure, the affected side spherical hinge support module is connected to the pin rod clamping part and the butt joint module respectively. The rod-rod clamping part is fixedly installed on one side of an operation table by the healthy side fixing module.

Abstract: A plant protein-furfuryl alcohol wood adhesive and a preparation method thereof are disclosed. The adhesive according to the disclosure is prepared from raw materials comprising, in parts by weight, 10 to 15 parts of a plant protein, 10 to 25 parts of furfuryl alcohol, 4 to 8 parts of water, 1 to 6 parts of a catalyst, and 0 to 20 parts of an additive.

Abstract: An apparatus includes a lift pinto raise and lower a semiconductor substrate relative to a substrate support assembly in a processing chamber. The lift pin includes a top end having a conical shape tapering downwardly and a bottom end having a cylindrical shape. The apparatus comprises a lift pin holder to hold the bottom end of the lift pin.

Abstract: Method and apparatus for generating point cloud encoder, method and apparatus for generating point cloud data, electronic device and computer storage medium are provided. The method for generating point cloud encoder includes: first point cloud data and second point cloud data of an object are acquired; a first probability distribution of a global feature of the first point cloud data is determined based on a first encoder; a second probability distribution of a global feature of the second point cloud data is determined based on a second encoder; a weight of the first encoder is regulated based on a first difference between the first probability distribution and the second probability distribution to obtain a target weight of the first encoder; and a point cloud encoder is generated according to the first encoder and the target weight.

Abstract: Embodiments of the present disclosure provide a method and apparatus for point cloud completion, a network training method and apparatus, a device, and a storage medium. The method includes: determining a probability distribution of an acquired first point cloud; completing the first point cloud based on the probability distribution to obtain a primary completed point cloud; concatenating the primary completed point cloud and the first point cloud to obtain a concatenated point cloud; determining association relationships between the concatenated point cloud and multiple groups of neighbouring points of the concatenated point cloud; completing the concatenated point cloud based on the association relationships to obtain a second point cloud from completion the first point cloud.

Abstract: A method and apparatus for processing point cloud data, a device, and a storage medium are provided. The method includes: determining, from first point cloud data acquired, multiple groups of neighbouring points for a to-be-processed point, wherein each group of neighbouring points among the multiple groups of neighbouring points has a respective different scale; for each group of neighbouring points, determining a respective association relationship between the group of neighbouring points and the to-be-processed point; for each group of neighbouring points, determining a respective association feature of the to-be-processed point based on the respective association relationship; determining a target feature of the to-be-processed point based on association features corresponding to the multiple groups of neighbouring points; and performing, based on target features of multiple to-be-processed points, point cloud completion on the first point cloud data to generate second point cloud data.

Abstract: Disclosed is a method and apparatus for point cloud data processing, an electronic device and a computer storage medium. For each of multiple data points of first point cloud data, initial feature information of a respective one of the multiple data points and initial feature information of each of multiple neighboring points of the respective data point taken as a center point are acquired; correlation degree information between the respective data point and the multiple neighboring points is determined based on the initial feature information of the respective data point and the initial feature information of each of the multiple neighboring points; first target feature information of the respective data point is determined based on the correlation degree information; and point cloud data reconstruction is performed based on the first target feature information of each of the multiple data points to obtain second point cloud data.

Abstract: A heat shield for a platen of a substrate support includes a body and absorption-reflection-transmission regions. The absorption-reflection-transmission regions are in contact with the body and are configured to at least one of affect or modulate at least a portion of a heat flux pattern between a distal reference surface and the platen. The absorption-reflection-transmission regions include tunable aspects to tune the at least a portion of the heat flux pattern.

Abstract: The embodiments of the present disclosure provide a method, an apparatus and a system for generating a point cloud completion network. The method includes: acquiring first point cloud data by inputting a latent space vector into a pre-trained first point cloud completion network; acquiring real point cloud data collected for a real object in a physical space; for a real point in the real point cloud data, selecting a preset number of points adjacent to the real point from the first point cloud data as neighbor points of the real point; generating second point cloud data based on the neighbor points in the first point cloud data of a plurality of real points; acquiring a second point cloud completion network by adjusting the first point cloud completion network based on a difference between the second point cloud data and the real point cloud data.

Abstract: The embodiments of the present disclosure provide methods and apparatuses for generating point cloud completion network and methods, apparatuses and systems for processing point cloud data. First point cloud data is acquired from a first point cloud completion network based on one or more latent space vectors that are acquired through sampling in latent space, and a second point cloud completion network is generated by adjusting the first point cloud completion network based on a points-distribution feature of the first point cloud data. Since the points-distribution feature of the point cloud data is taken into consideration during generating the second point cloud completion network, the trained second point cloud completion network is capable of correcting the points-distribution feature of the point cloud data, and thus outputting the point cloud data with a relatively even points-distribution feature.

Abstract: The embodiments of the present disclosure provide a method, an apparatus and a system for completing point cloud data and a method, an apparatus and a system for processing point cloud data. The method includes: acquiring first point cloud data; acquiring second point cloud data by completing the first point cloud data with a point cloud completion network, wherein, the point cloud completion network is trained based on complete point cloud data and configured to generate third point cloud data according to target latent space vector, and a difference between fourth point cloud data acquired from the third point cloud data by performing preset degradation and real point cloud data collected from a physical space is within a preset difference range.