Abstract: The present utility model discloses a spherical grinder, which comprises a grinder body; the grinder body comprises a handhold part and a grinding part, the grinding part is set below the handhold part and provided with at least one grinding unit. The present utility model is subject to a reasonable structure design; the connection to the handhold part is achieved by fitting and connecting universal balls of grinding units to connecting pieces, the operation is flexible and can meet different angle grinding requirements, improving the grinding and polishing efficiency; and the handhold part provided with a gripping part is intended for easy holding, achieving a more friendly grip, making the control of the grinder easier and avoiding hand fatigue.

Abstract: A grinding block suitable for different radians, which relates to a grinding block technique, and comprises a grinding block body, at least one soft shaft set in the grinding block body, connecting grooves set on both sides of the grinding block body and a grinding block set at the bottom of the grinding block body. The soft shaft comprises a soft shaft body and a stable shaft fit at both ends of the stable shaft. A positioner is set at a stable shaft end away from the soft shaft body and several Positioning Ribs I1 are spaced in the soft shaft body. By setting the shaft in the grinding block body and supporting the block body, the stability of the grinding block body after bending and deformation can be ensured.

Abstract: Provided herein are retinoid X receptor alpha binders that specifically bind to an epitope of a retinoid X receptor alpha, wherein the epitope comprises a phosphorylated serine at position 56 or 70. Also provided herein are retinoid X receptor alpha/polo-like kinase 1 modulators that inhibit the interaction of a polo-like kinase 1 with a retinoid X receptor alpha comprising a phosphorylated serine at position 56 or 70.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for recognizing a table, a device, and a medium. An embodiment of the method can include: detecting a table on a target picture, to obtain a candidate table recognition result; extracting a merging feature of the candidate table recognition result, and determining a to-be-merged row in the candidate table recognition result based on the merging feature; extracting a direction feature of the to-be-merged row, and determining a merging direction of the to-be-merged row based on the direction feature; and adjusting the candidate table recognition result based on the to-be-merged row and the merging direction of the to-be-merged row, to obtain a target table recognition result.

Abstract: Disclosed herein are triterpenoid compounds, for example, a compound of Formula (I), and pharmaceutical compositions thereof. Also disclosed herein are methods of their use for treat.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating information.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for recognizing a table, a device, and a medium. An embodiment of the method can include: detecting a table on a target picture, to obtain a candidate table recognition result; extracting a merging feature of the candidate table recognition result, and determining a to-be-merged row in the candidate table recognition result based on the merging feature; extracting a direction feature of the to-be-merged row, and determining a merging direction of the to-be-merged row based on the direction feature; and adjusting the candidate table recognition result based on the to-be-merged row and the merging direction of the to-be-merged row, to obtain a target table recognition result.

Abstract: A method and apparatus for training an online prediction model are provided. The method may include: acquiring an offline sample feature and an online sample feature of a user, the offline sample feature including a user portrait feature; offline training to obtain an offline recommendation model, based on the offline sample feature and the online sample feature of the user; acquiring a latest online feature of the user, and online training to obtain an online learning model based on the latest online feature of the user, the online learning model being used to adapt the latest online feature for use as an online sample feature to be input into the trained offline recommendation model; and synchronizing the offline recommendation model to online, and inputting the latest online feature output by the online learning model into the offline recommendation model to generate an online prediction model.

Abstract: The present disclosure discloses methods, apparatuses, and electronic devices for collecting a loan, and a storage medium, relates to the field of big data technology. A method can include: acquiring information on latitude and longitude of overdue customers and longitude and debt-collectors, respectively; calculating initial paths of the debt-collectors and the overdue customers, based on the information on latitude and longitude of the overdue customers and the debt-collectors; calculating target overdue customers that the debt-collectors are responsible for and target paths of the debt-collectors and the target overdue customers that the debt-collectors are responsible for, based on the initial paths of the debt-collectors and the overdue customers; and providing the target overdue customers and the target paths to the debt-collectors, so that the debt-collectors collect loans in accordance with the target overdue customers and the target paths.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating information.