Abstract: An anti-ANGPTL3 antibody or an antigen-binding fragment thereof. The present invention provides an anti-ANGPTL3 antibody or an antigen-binding fragment thereof, wherein a heavy chain variable region includes complementarity determining regions (CDRs), including CDR-H1 having an amino acid sequence as set forth in SEQ ID No. 1, CDR-H2 having an amino acid sequence as set forth in SEQ ID No. 2, and CDR-H3 having an amino acid sequence as set forth in SEQ ID No. 3; and the CDRs of a light chain variable region includes CDR-L1 having an amino acid sequence as set forth in SEQ ID No. 4, CDR-L2 having an amino acid sequence as set forth in SEQ ID No. 5, and CDR-L3 having an amino acid sequence as set forth in SEQ ID No. 6. The antibody or the antigen-binding fragment thereof provided in the present invention can specifically recognize ANGPTL3.

Abstract: For in mold spraying, a double-inclined mixing nozzle is connected obliquely and fixedly with a side surface of a third half-mold through a lateral sealing structure and connected with a side surface of a first half-mold in an inclined and sealing manner, side faces of a first half-mold and the third half-mold are respectively provided with installation inclined surfaces. A lateral sealing structure includes a mounting plate and a sealing member. The sealing member is sleeved on the double-inclined mixing nozzle and is in transition fit with the double-inclined mixing nozzle and the mounting plate respectively. A butt sealing groove provided on the installation inclined surface of the first half-mold and is in sealing fit with the mounting plate.

Abstract: A data indexing system is provided. The system includes: a time interval splitting unit configured to split a predetermined time range into a plurality of time intervals. A first index creating unit is configured to create a first-level index for data in a current time interval, the first-level index including a time interval index and a subspace index. A second index creating unit is configured to create, in a time interval after the current time interval, a second-level index for data in the current time interval. The second-level index has a finer granularity than the first-level index. A data indexing method and a data querying method are also provided. The cost for index maintenance can be greatly reduced in a case of frequent updates. Further, invalid scans during the query process can be reduced and the query performance can be improved.

Abstract: An exemplary fastener includes a connecting member and a protecting member. The connecting member includes a head, and a connecting portion extending down away from the head. The protecting member includes a first engaging portion and a second engaging portion extending from the first engaging portion. The first and second engaging portions are coaxial. The connecting portion of the connecting member extends through the second engaging portion, the head of the connecting member is surrounded by the first engaging portion of the protecting member with a bottom surface of the head abutting a top end of the second engaging portion. A top end of the first engaging portion is above a top surface of the head and defines a receiving space above the head. The receiving space is adapted for receiving a tool therein.

Abstract: A system and method for traffic prediction based on space-time relation are disclosed. The system comprises a section spatial influence determining section for determining, for each of a plurality of sections to be predicted, spatial influences on the section by its neighboring sections; a traffic prediction model establishment section for establishing, for each of the plurality of sections to be predicted, a traffic prediction model by using the determined spatial influences and historical traffic data of the plurality of sections; and a traffic prediction section for predicting traffic of each of the plurality of sections to be predicted for a future time period by using real-time traffic data and the traffic prediction model. An apparatus and method for determining spatial influences among sections, as well as an apparatus and method for traffic prediction, are also disclosed.

Abstract: A data indexing system is provided. The system includes: a time interval splitting unit configured to split a predetermined time range into a plurality of time intervals. A first index creating unit is configured to create a first-level index for data in a current time interval, the first-level index including a time interval index and a subspace index. A second index creating unit is configured to create, in a time interval after the current time interval, a second-level index for data in the current time interval. The second-level index has a finer granularity than the first-level index. A data indexing method and a data querying method are also provided. The cost for index maintenance can be greatly reduced in a case of frequent updates. Further, invalid scans during the query process can be reduced and the query performance can be improved.

Abstract: An exemplary fastener includes a connecting member and a protecting member. The connecting member includes a head, and a connecting portion extending down away from the head. The protecting member includes a first engaging portion and a second engaging portion extending from the first engaging portion. The first and second engaging portions are coaxial. The connecting portion of the connecting member extends through the second engaging portion, the head of the connecting member is surrounded by the first engaging portion of the protecting member with a bottom surface of the head abutting a top end of the second engaging portion. A top end of the first engaging portion is above a top surface of the head and defines a receiving space above the head. The receiving space is adapted for receiving a tool therein.

Abstract: A device for recognizing user behavior is provided, which includes: a position data receiving unit configured to receive user position data and adjust the data based on time to obtain user position data in time series; a data pretreating unit configured to pretreat the user position data in time series; a feature vector extracting unit configured to extract a feature vector for recognizing a type of a user activity according to the pretreated user position data; and a user behavior recognizing unit configured to recognize the type of a user activity according to the feature vector extracted by the feature vector extracting unit and to obtain behavior features of the user. A method for recognizing user behavior is also provided. Deep level behavior features of the user can be obtained, such that the recognition result for each user can be more accurate and richer.

Abstract: A system and method for traffic prediction based on space-time relation are disclosed. The system comprises a section spatial influence determining section for determining, for each of a plurality of sections to be predicted, spatial influences on the section by its neighboring sections; a traffic prediction model establishment section for establishing, for each of the plurality of sections to be predicted, a traffic prediction model by using the determined spatial influences and historical traffic data of the plurality of sections; and a traffic prediction section for predicting traffic of each of the plurality of sections to be predicted for a future time period by using real-time traffic data and the traffic prediction model. An apparatus and method for determining spatial influences among sections, as well as an apparatus and method for traffic prediction, are also disclosed.