Abstract: Surface-treated cutting blades are provided, comprising: (a) a metal cutting blade body; and (b) a self-assembled monolayer formed from an alkoxysilane and/or organophosphonic acid. The surface-treated cutting blades may further comprise one or more layers formed from chrome, tantalum, titanium, an aqueous solution of a metal salt, and/or an organometallic compound, applied between the cutting blade and the self-assembled monolayer. Also provided is a method of reducing deposition of a contaminant on a surface of metal cutting blade, comprising: (a) contacting the surface either directly or through an intermediate organometallic layer with a fluorinated material in a diluent; (b) forming a film on the surface; and (c) exposing the cutting blade to the contaminant.

Abstract: A filtration apparatus and an electronic device are provided to resolve the problem of housing body sealing failures caused by particulate matter in water damaging the waterproof membrane sealing the electronic device. In the filtration apparatus and electronic device, a first filter layer is disposed on an outer side of an outer surface of a housing body, a second filter layer is disposed between the outer surface and the first filter layer, and both the first filter layer and the second filter layer cover function holes on the housing body.

Abstract: A key structure includes a housing, a mounting seat, a key component, a clamping holder, a switch device, and a flexible printed circuit, where the mounting seat is mounted on the housing, the clamping holder and the key component are both mounted on the mounting seat, and the switch device is mounted on the clamping holder. The mounting seat and the clamping holder are between the switch device and the key component.

Abstract: An open-ear earphone includes a housing, a chamber is provided inside the housing, a speaker is provided inside the chamber and divides the chamber into a front chamber and a rear chamber. The housing is provided with a first sound hole and a second sound hole. The front chamber is communicated to the outside through the first sound hole, and the rear chamber is communicated to the outside through the second sound hole. The rear chamber includes a first volume down chamber and a second volume down chamber communicated to the first volume down chamber, and the first volume down chamber is located between the speaker and the second volume down chamber. The sound wave in backward motion generated by the speaker is transmitted to the outside from the second sound hole after being reduced by the first volume down chamber and the second volume down chamber.

Abstract: This application relates to a spring bar assembly, a watch strap, and a watch. The spring bar assembly includes a mounting base, a spring bar, a button, and a lever. Both the spring bar and the button are mounted on the mounting base. The button is capable of moving relative to the mounting base, and a movement direction of the button is perpendicular to an axial direction of the spring bar. One end of the lever extends into a guide groove of the button and abuts against first side walls of the guide groove, and the other end of the lever is connected to the spring bar. The button is capable of driving the spring bar to move relative to the mounting base in the axial direction of the spring bar by using the lever.

Abstract: Embodiments of this application disclose a wearable device. The wearable device includes a wearable device body and a housing that covers the wearable device body. The housing is made of an insulating material, the housing includes at least two spring bars, two spring bars are arranged in parallel and spaced from each other and both extend in a same direction, a connection line between ends of the two spring bars is located outside the wearable device, and a conductive component is disposed on the spring bar. The wearable device body includes a mainboard, the mainboard is configured to feed power to the conductive component, and the conductive component is used as an antenna.

Abstract: The disclosure discloses a method, an apparatus, a device and a storage medium for image generation which comprise: obtaining a target text and an image to be matched; inputting the same into an image-text matching model to obtain an image-text matching degree; in response to a determination that the image-text matching degree fails to satisfy a predetermined condition, determining an optimization parameter based on a predefined strategy, and optimizing the image to be matched based on the optimization parameter to obtain an optimized image to be matched; inputting the target text and the optimized image to be matched into the image-text matching model to obtain the image-text matching degree; in response to a determination that the image-text matching degree satisfies the predetermined condition, determining the image to be matched satisfying the predetermined condition as a target image; and pushing the target image and the target text to a user.

Abstract: Embodiments of the present disclosure discloses a method, apparatus, device and storage medium for generating an animal figure. The method comprises: obtaining, based on an animal figure generation model, at least two animal figure images and at least two sets of figure feature information respectively corresponding to the at least two animal figure images; integrating the at least two sets of figure feature information to obtain mixed figure feature information; inputting predetermined attribute information into a predetermined coder to obtain an attribute code; and inputting the mixed figure feature information and the attribute code into the animal figure generation model to obtain a target animal figure image and target figure feature information.

Abstract: Embodiments of the present disclosure provide a video generation method, a model determination method, a device, a storage media, a computer program product and a computer program. The video generation method includes: acquiring a target audio; generating an image sequence according to characteristic information of the target audio and an image generation model, wherein the image generation model is used for generating a corresponding image according to a randomly input vector; and combining the target audio and the image sequence to generate a target video corresponding to the target audio.

Abstract: Embodiments of the present disclosure disclose an image processing method, a training method for an image processing model, an electronic device and a medium. The image processing method comprises: inputting an image to be processed into an image processing model in response to a special effect trigger instruction; and outputting a target image from the image processing model, wherein the target image comprises a special effect object and a conflicting object corresponding to the special effect object is removed in the target image, wherein the image processing model is trained based on an image with the conflicting object removed and a target object superimposed, wherein the target object comprises an adjustable object having a same presentation effect as the special effect object, and the image with the conflicting object removed is generated by a generator trained based on a generative adversarial network.

Abstract: The embodiments of the present disclosure relate to an image generation method, apparatus, device, and medium. The method includes: obtaining an initial image of a target object, where the initial image is an image in a first image style; inputting the initial image into a first machine learning model; and obtaining a target image of the target object based on an output result of the first machine learning model, where the target image is an image in a second image style. The first machine learning model is obtained based on a second machine learning model obtained based on training first sample images of the target object and second sample images of the target object. The first sample image and the second sample image are respectively images obtained by rendering simulation models of the target object in different states based on rendering parameters in the first and second image styles.

Abstract: Embodiments of this disclosure relate to a method, apparatus, device and medium for image processing, where the method includes: obtaining a user image; performing a beautifier operation on the user image with an image beautifier model, to obtain a beautified user image; wherein the image beautifier model is trained with a training sample pair determined based on a first sample image and a second sample image; the second sample image is an image obtained by performing an overall beautifier and adjustment of an image element on the first sample image based on a target image using an image processing model; the image element is an image style feature and/or a target part of the target image. This disclosure can reduce users' creation cost and improve image beautifier effects.

Abstract: Provided are an image splicing method, apparatus and device, and a medium. The image splicing method includes acquiring a to-be-spliced image and multiple template images, where the to-be-spliced image and each template image each include a target object; calculating a matching degree between the target object in the to-be-spliced image and the target object in the each template image; determining a template image whose matching degree satisfies a preset matching condition as a target template image; and splicing a target image portion in the to-be-spliced image to a target image region in the target template image to obtain a target spliced image, where the target image portion and the target image region correspond to the same portion of the target object.

Abstract: An open-ear Bluetooth® earphone includes an earphone body and a support frame. The support frame is configured to be plugged into a cavum concha of a wearer. The earphone body is provided with an audio source, and the support frame is installed on the earphone body and corresponds to the audio source. When in use, the support frame is configured to be firmly plugged into the cavum concha of the wearer to allow the earphone body to be worn on the ear of the wearer. The audio source corresponds to the ear canal of the wearer through the support frame, so that the sound emitted from the audio source is transmitted into the ear canal through the support frame. The audio source is directly opposite of the ear canal through the support frame to shorten the distance between the audio source and the ear canal.

Abstract: An open-ear earphone includes a housing, a chamber is provided inside the housing, a speaker is provided inside the chamber and divides the chamber into a front chamber and a rear chamber. The housing is provided with a first sound hole and a second sound hole. The front chamber is communicated to the outside through the first sound hole, and the rear chamber is communicated to the outside through the second sound hole. The rear chamber includes a first volume down chamber and a second volume down chamber communicated to the first volume down chamber, and the first volume down chamber is located between the speaker and the second volume down chamber. The sound wave in backward motion generated by the speaker is transmitted to the outside from the second sound hole after being reduced by the first volume down chamber and the second volume down chamber.

Abstract: A wearable device and an airbag preparation method. The wearable device includes a watch body, an airbag, and an airbag cover. The airbag is detachably connected to an end of the watch body, so that a coverage area of the airbag for the watch body is small, thereby reserving space for installing another module on the watch body. The airbag includes a first layer structure and a second layer structure that are superposed. The first layer structure has a first cavity, the second layer structure has a second cavity, and the first cavity communicates with the second cavity.

Abstract: Embodiments of the present disclosure relate to a method for generating a face shape adjustment image, a model training method, an apparatus, and a device. The method for generating a face shape adjustment image includes: acquiring an original facial image; obtaining a face shape adjustment image corresponding to the original facial image by using a pre-trained face shape adjustment model, where the face shape adjustment model is obtained by training based on a first facial sample image, a second facial sample image, a minimum face parameter and a maximum face parameter, a face parameter corresponding to the first facial sample image is the minimum face parameter, and a face parameter corresponding to the second facial sample image is the maximum face parameter.

Abstract: An animal face style image generation method, a model training method, and a device are provided. The method includes: acquiring an original human face image; and obtaining an animal face style image corresponding to the original human face image. The animal face style image refers to an image obtained by transforming a human face on the original human face image into an animal face, the animal face style image generation model is obtained by training with a first human face sample image and a first animal face style sample image, the first animal face style sample image is generated from the first human face sample image by a pre-trained animal face generation model, and the animal face generation model is obtained by training with a second human face sample image and a first animal face sample image.

Abstract: (5R,7R,10R)-12,15-dioxo-?-selinene (PFC-37) is used in the preparation of a drug for preventing and treating a neurodegenerative disease and Parkinson's disease.

Abstract: An expression transformation method and apparatus, an electronic device, and a computer readable medium. The method comprises: acquiring a target face image (201); and inputting the target face image into a pre-trained expression transformation model to obtain an expression transformation image (202). The expression transformation model performs expression transformation on the target face image to achieve different expression transformation effects. A set of face images which are locally processed and have preset expressions displayed are used for training, so that the effect of the additional special effect can be achieved for the expression transformation image on the basis of transformation.