Abstract: A hemostatic clip includes a traction device, a clamping device and a first limiting member. The traction device includes a traction mechanism and a separation mechanism. The clamping device includes a constricting sleeve and a clip head assembly. A proximal end portions of the clip head assembly is inserted in an inner bore of the traction mechanism in an interference-fit manner. The separation mechanism prevents a second locking member of the clip head assembly from being connected to a first locking member of the constricting sleeve, thereby allowing the traction mechanism to drive, under the action of an external force, the clip head assembly to move along an axis of the constricting sleeve. The clip head assembly can be separated from the traction mechanism simply by providing an external force that can overcome the interference fit between the two.

Abstract: A hemostatic clip includes: a traction mechanism having a distal end provided with an inner bore; and a clamping mechanism including a constricting sleeve and a clip head assembly. The clip head assembly is partially disposed within the constricting sleeve and includes an engagement member and a clip head body. The engagement member has a proximal end inserted in the inner bore and forms an interference fit with the inner bore. The clip head body has a proximal end connected to a distal end of the engagement member and distally protrudes out of a distal end of the constricting sleeve. The constricting sleeve and the clip head assembly are respectively provided with a first locking member and a second locking member. When the second locking member is separate from the first locking member, the clip head body is allowed to switch between an opened configuration and a closed configuration.

Abstract: A method, electronic device and storage medium for item recommendation and for model training, which relates to the field of artificial intelligence, are disclosed. According to some embodiments: an item feature expression database is created using a pre-trained user-clicking-item task model and at least two pieces of feature information of items in the repository of items to be recommended; a feature expression of a user is obtained using the pre-trained user-clicking-item task model and at least two pieces of feature information of the user; identifiers of N items to be recommended are obtained according to the feature expression of the user and the item feature expression database; relevant information of the N items is recommended to the user based on the identifiers of the N items.

Abstract: A crude oil lifting system and a method utilizing a vane pump for conveying a fluid. The crude oil lifting system comprises: an oil pipe and an oil pump connected to the oil pipe. The oil pump is the vane pump. The vane pump is provided with a cylindrical stator. The stator has arranged therein a drive shaft and a rator sleeved onto the drive shaft. The drive shaft is arranged within the stator along the direction parallel to the length of the stator. An intake plate is arranged at the lower end of the stator. A discharge plate is arranged at the upper end of the stator. The intake plate, the discharge plate, and the stator form a cylindrical cavity. The rotor is arranged between the intake plate and the discharge plate. An intake opening for taking in the crude oil is arranged on the intake plate. A discharge opening for discharging the crude oil is arranged on the discharge plate.