Abstract: The present disclosure provides a novel process of using nonionic surfactants in wells at, near, or below, their cloud point temperature for increased oil production from reservoir formations. Adjusting the surfactant cloud point temperature to be proximate to the reservoir temperature results in the maximum surface activity of the surfactant, increased adsorption, and better imbibition performance. The nonionic surfactants may be mixed with a solution on surface and then injected into formation brine for spontaneous brine imbibition and crude oil production from oil-wet unconventional reservoir formations. Also disclosed is a surfactant selection process that comprises initial surfactant screening, surfactant persistence tests, and spontaneous imbibition experiments to evaluate the performance of both ionic and nonionic surfactants in altering rock-oil wetting properties and improving oil recovery.

Abstract: MicroRNA, including one of or a combination of the following components: (a) a pri-miRNA of miR-149-3p; (b) a pre-miRNA of miR-149-3p; (c) a mature miRNA of miR-149-3p; (d) a miR-149-3p derivative; (e) a 18-26 nucleotides miRNA having a sequence of 5?-AGGGAGG-3?; and (f) a derivative of the 18-26 nucleotides miRNA of (e). Also provided is a method for treating a metabolic disease. The method includes preparing a pharmaceutical composition comprising a mimic of miR-149-3p, or an expression vector of the miR-149-3p, and administering an effective amount of the pharmaceutical composition to a patient in need thereof.

Abstract: A handheld implement with a replaceable work tool includes a handle body which is equipped with a locking device for detachably mounting the work tool. The locking device includes a movable member, at least one retaining member and a first spring. The first spring abuts against the retaining member so that the retaining member is inserted into a locking hole of the work tool while remaining in an extended state. The retaining member includes a first mating body including at least one second mating body. The second mating body includes a mating portion, and the movable member performs translational movement so that the mating portion and the first mating body cooperate with each other to drive the retaining member to retreat and then withdraw from the locking hole of the work tool.

Abstract: This application discloses a three-dimensional human pose estimation method performed by a computer device. An initialization pose estimation result of a single video frame in a video frame sequence of n views is extracted based on a neural network model. Single-frame and single-view human pose estimation is performed on the initialization pose estimation result for each video frame, to obtain n single-view pose estimation sequences respectively corresponding to the n views. Single-frame and multi-view human pose estimation is performed according to single-view pose estimation results with the same timestamp in the n single-view pose estimation sequences, to obtain a multi-view pose estimation sequence. Multi-frame and multi-view human pose estimation is performed on a multi-view pose estimation result in the multi-view pose estimation sequence, to obtain a multi-view and multi-frame pose estimation result. Therefore, accuracy of human pose estimation is improved.

Abstract: The present disclosure describes a method, apparatus, and storage medium for annotating image. The method includes extracting, by a device, a visual feature of an image through a generative adversarial network model, and sequentially inputting M pieces of random noise into the generative adversarial network model. In response to each of the M pieces of random noise being inputted into the generative adversarial network model, the method includes performing a determinantal point process (DPP) on the visual feature of the image and the each random noise through the generative adversarial network model to obtain N tag subsets, and selecting a distinct tag subset from the N tag subsets through the generative adversarial network model. The method also includes outputting M distinct tag subsets through the generative adversarial network model after the M pieces of random noise are inputted into the generative adversarial network model.

Abstract: A method, device, and apparatus for synthesizing a motion sequence of a virtual object and a non-transitory computer-readable storage medium are disclosed. The method can include obtaining description information of a motion sequence of a virtual object, and determining a continuous motion clip set similar to at least some motions in the motion sequence based on the description information and a continuous motion clip library constructed with video materials. The method can further include synthesizing the motion sequence of the virtual object based on the continuous motion clip set, where each continuous motion clip in the continuous motion clip library includes a unique identifier of the continuous motion clip, motion information of the continuous motion clip, and a representation vector corresponding to the each continuous motion clip.

Abstract: The techniques described herein relate to methods, apparatus, and computer readable media configured to schedule individual orthogonal frequency-division multiple access (OFDMA) resources on an upstream channel to serve a data transmission request from a downstream device. A schedule for a set of available resources on the upstream channel to serve the data transmission request is generated, based on a dynamic bit loading profile, including generating data indicative of a first bit loading profile for a first set of resources from the set of available resources for a first burst, and data indicative of a second bit loading profile for a second set of resources from the set of available resources for a second burst. The schedule is transmitted to a downstream device, such that the downstream device is configured to encode the first burst using the first bit loading profile and the second burst using the second bit loading profile.

Abstract: A handheld implement with a replaceable work tool includes a handle body which is equipped with a locking device for detachably mounting the work tool. The locking device includes a movable member, at least one retaining member and a first spring. The first spring abuts against the retaining member so that the retaining member is inserted into a locking hole of the work tool while remaining in an extended state. The retaining member includes a first mating body including at least one second mating body. The second mating body includes a mating portion, and the movable member performs translational movement so that the mating portion and the first mating body cooperate with each other to drive the retaining member to retreat and then withdraw from the locking hole of the work tool.

Abstract: The techniques described herein relate to methods, apparatus, and computer readable media configured to schedule individual orthogonal frequency-division multiple access (OFDMA) resources on an upstream channel to serve a data transmission request from a downstream device. A schedule for a set of available resources on the upstream channel to serve the data transmission request is generated, based on a dynamic bit loading profile, including generating data indicative of a first bit loading profile for a first set of resources from the set of available resources for a first burst, and data indicative of a second bit loading profile for a second set of resources from the set of available resources for a second burst. The schedule is transmitted to a downstream device, such that the downstream device is configured to encode the first burst using the first bit loading profile and the second burst using the second bit loading profile.

Abstract: The present application provides an image enhancement method and system, the method includes acquiring an input brightness value, and computing a log average value of the input brightness value; processing the input image based on a Retinex image enhancement algorithm to obtain a first brightness gain value; computing a brightness gain control factor according to the log average value of the input brightness value; computing a second brightness gain value according to the brightness gain control factor and the first brightness gain value; and obtaining an output image by enhancing the input image according to the second brightness gain value. The present application uses a Retinex image enhancement algorithm to enhance the input image, and by using the brightness gain control factor, when the image has low brightness, the first brightness gain value is compressed, and when the image has high brightness, the first brightness gain value is compressed slightly.

Abstract: An automatic focusing method and apparatus comprise the following steps: acquiring a target image that has been divided into blocks; acquiring the definition of each block, respectively; acquiring normalized central coordinates and a normalized size of a region of interest on the target image; respectively calculating a full width at half maximum coefficient in the horizontal direction and the vertical direction according to the normalized size; calculating a weight value of each block using a two-dimensional discrete Gaussian function according to the normalized central coordinates and the full width at half maximum coefficient; calculating a normalized overall definition of the target image according to the weight value and definition of each block; and focusing according to the normalized overall definition. The method and apparatus can automatically calculate a mask of the region of interest, thereby avoiding the occupying of storage space required when storing ROI mask data.

Abstract: The present invention provides a method for producing a manganese-doped nickel molybdate electrode material including mixing a nickel salt solution with a manganese salt solution to form a mixture; adding a molybdate solution into the mixture and being subject to a thermal reaction; and obtaining the manganese-doped nickel molybdate electrode material after washing and drying of the reaction product. The nickel salt includes one or more of nickel nitrate, nickel chloride, and nickel acetate; the manganese salt includes one or more of manganese chloride, manganese nitrate, and manganese sulfate; and the molybdate includes one or more of sodium molybdate or ammonium molybdate. The present method utilizes a single reaction to produce a Mn-doped NiMoO4 electrode material, which does not require using nickel molybdate as an intermediate product. The method simplifies the preparation process and makes it easy to be adjusted, thereby improving the electrochemical properties of the electrode material.

Abstract: A model training method and apparatus for image recognition, and a non-transitory storage medium are provided. The model training method includes: obtaining a multi-label image training set including a plurality of training images each annotated with a plurality of sample labels; selecting target training images from the multi-label image training set for training a current model; performing label prediction on each target training image using the current model, to obtain a plurality of predicted labels of the each target training image; obtaining a cross-entropy loss function corresponding to the plurality of sample labels of the each target training image, a positive label loss being greater than a negative label loss and having a weight greater than 1; converging the predicted labels and the sample labels of the each target training image according to the cross-entropy loss function, and updating parameters of the current model, to obtain a trained model.

Abstract: A method of establishing an image set for image recognition includes obtaining a single-label image set comprising an image annotated with a single label, and a multi-label image set comprising an image annotated with a plurality of labels; converting content of each label into a corresponding word identifier according to a semantic network, to obtain a word identifier set, a converted single-label image set, and a converted multi-label image set; and constructing a hierarchical semantic structure according to the word identifier set and the semantic network. The method also includes performing label supplementation on the image in the converted single-label image set to obtain a supplemented single-label image set; performing label supplementation on the supplemented single-label image set to obtain a final supplemented image set; and establishing a target multi-label image set to train an image recognition model by using the target multi-label image set.

Abstract: The techniques described herein relate to methods, apparatus, and computer readable media configured to schedule individual orthogonal frequency-division multiple access (OFDMA) resources on an upstream channel to serve a data transmission request from a downstream device. A schedule for a set of available resources on the upstream channel to serve the data transmission request is generated, based on a dynamic bit loading profile, including generating data indicative of a first bit loading profile for a first set of resources from the set of available resources for a first burst, and data indicative of a second bit loading profile for a second set of resources from the set of available resources for a second burst. The schedule is transmitted to a downstream device, such that the downstream device is configured to encode the first burst using the first bit loading profile and the second burst using the second bit loading profile.

Abstract: The present disclosure describes a method, apparatus, and storage medium for annotating image. The method includes extracting, by a device, a visual feature of an image through a generative adversarial network model, and sequentially inputting M pieces of random noise into the generative adversarial network model. In response to each of the M pieces of random noise being inputted into the generative adversarial network model, the method includes performing a determinantal point process (DPP) on the visual feature of the image and the each random noise through the generative adversarial network model to obtain N tag subsets, and selecting a distinct tag subset from the N tag subsets through the generative adversarial network model. The method also includes outputting M distinct tag subsets through the generative adversarial network model after the M pieces of random noise are inputted into the generative adversarial network model.

Abstract: The present application provides an image enhancement method and system, the method includes acquiring an input brightness value, and computing a log average value of the input brightness value; processing the input image based on a Retinex image enhancement algorithm to obtain a first brightness gain value; computing a brightness gain control factor according to the log average value of the input brightness value; computing a second brightness gain value according to the brightness gain control factor and the first brightness gain value; and obtaining an output image by enhancing the input image according to the second brightness gain value. The present application uses a Retinex image enhancement algorithm to enhance the input image, and by using the brightness gain control factor, when the image has low brightness, the first brightness gain value is compressed, and when the image has high brightness, the first brightness gain value is compressed slightly.

Abstract: The present application discloses a shadow detection method and system for monitoring video images, and a shadow removal method. The shadow detection method includes: acquiring a current frame and a background frame from source data; acquiring, from the current frame, first candidate shadow areas; computing a local-ternary-pattern shadow detection value of the first candidate shadow areas, and selecting second candidate shadow areas; computing a hue detection value, a saturation detection value and a gradient detection value of the second candidate shadow areas; estimating a local-ternary-pattern shadow threshold, a hue threshold, a saturation threshold and a gradient threshold; computing a local-ternary-pattern shadow detection value, a hue detection value, a saturation detection value and a gradient detection value of the first candidate shadow areas; and selecting first candidate shadow areas.