Abstract: The present invention provides a Ganoderma lucidum ?-glucan extract, a preparation method and detection method therefor. The preparation method includes: S1: crushing fruiting bodies of Ganoderma lucidum, mixing the crushed fruiting bodies with a solvent, adding trypsin for enzymatic hydrolysis for 0.5-2 h, and separating to obtain a Ganoderma lucidum fruiting body filter residue; S2: mixing the Ganoderma lucidum fruiting body filter residue with an alkali solution, carrying out ultrasonic extraction with heating, adjusting the pH value of the obtained filtrate to be neutral, and concentrating to obtain a crude Ganoderma lucidum polysaccharide; S3: carrying out alcohol precipitation on the crude Ganoderma lucidum polysaccharide, separating the obtained precipitate, and freeze-drying to obtain a crude Ganoderma lucidum ?-glucan extract; and S4: purifying the crude Ganoderma lucidum ?-glucan extract by glucose gel column chromatography to obtain a Ganoderma lucidum ?-glucan extract.

Abstract: A fingerprint spectrum construction method for a new compound aloe capsule and a fingerprint spectrum includes: (1) taking powder of a new compound aloe capsule, carrying out reflux extraction, adding methanol, carrying out ultrasonic treatment, filtering, and taking a subsequent filtrate as a test solution; dissolving barbaloin, aloe-emodin, indirubin, tryptanthrin, aloesin, and ?-sitosterol in methanol to obtain reference solutions; (2) injecting the test solution and the reference solutions into a high performance liquid chromatograph for gradient elution to obtain a chromatogram of the new compound aloe capsule and chromatograms of the reference solutions, respectively; and (3) labeling chemical components of peaks on the chromatogram of the new compound aloe capsule according to the chromatogram of the new compound aloe capsule and the chromatograms of the reference solutions to obtain a fingerprint spectrum of the new compound aloe capsule.

Abstract: The present disclosure provides an image processing method and an image processing apparatus. The image processing method including replacing an object in a scene image with a preset template image to generate a virtual image; dividing the scene image into a plurality of image blocks with a preset size; determining pixel residuals of the scene image according to an average pixel value of pixel points in an area where the object is located in the scene image and an average pixel value of pixel points falling into the area where the object is located in each of the plurality of image blocks; determining illumination offsets according to the pixel residuals; and updating pixel values of pixel points in the virtual image according to the illumination offsets to implement illumination transfer.

Abstract: The present disclosure provides a P450 cytochrome enzyme for andrographolide synthesis and its application, belonging to the field of bioengineering. The present disclosure uses Saccharomyces cerevisiae CEN.PK2-1D as a host, and implements knockout of ROX1 and GAL80 genes on the genome, and integrative expression of GGPP synthase encoding gene and CPS diterpene synthase encoding gene at ROX1 site; and implements free expression of ApCPR and CYP71A8 and CYP71D10 both with truncated signal peptides, successfully constructing recombinant S. cerevisiae, and achieving de novo synthesis of 3,15,19-Trihydroxy-8(17),13-ent-labdadiene-16-oic acid. Compared with the blank, a response value of a product peak reaches 1.9*106, and this strategy provides necessary reference for analyzing biosynthetic pathway of andrographolide and using metabolic engineering to synthesize andrographolide and related derivatives thereof.

Abstract: An anti-BCMA antibody or an antigen-binding fragment thereof, and an application thereof in the treatment or prevention of tumor.

Abstract: The present disclosure provides an image processing method and an image processing apparatus. The image processing method including: performing line detection on a boundary of an object in a scene image to obtain a plurality of candidate lines; taking one of the plurality of the candidate lines, which has the largest number of pixels overlapping with the boundary, as a first reference line; generating a minimum bounding rectangle of the object in the scene image; generating a transformed area, wherein each of four vertexes of the minimum bounding rectangle is on one of four sidelines of the transformed area; transforming a preset image into the transformed area to generate a transformed image; and overlaying the object with the transformed image to update the scene image.

Abstract: Methods and systems for emulating a hardware accelerator is provided. When executed by a computer, the platform includes a plurality of computational resources provided by the computer; a hardware emulator operated on a first computational resource of the plurality of computational resources; and an accelerator being emulated in the platform and operated on a second computational resource of the plurality of computational resources, the accelerator being configured to execute an offloading operation.

Abstract: A field-of-view stitching system including: a light source module for emitting a first beam; a light guiding element for splitting the first beam into a plurality of second beams and includes an incident surface, a first exit surface, and a plurality of second exit surfaces, the second beams propagate along an optical path of the first beam; and a plurality of light modulators, a number of the plurality of light modulators is the same as a total number of the first exit surface and the plurality of second exit surfaces, each of the plurality of light modulators is configured to receive and regularly reflect one of the plurality of second beams; the light guiding element is further configured to receive and combine the second beams reflected by the light modulators to form an illuminating light. A field-of-view stitching method, a biological sample identification device and method are also provided.

Abstract: A scrubber-heating apparatus for a diving rebreather includes an oxygen supplying element. The oxygen supplying element has a gas mixing portion connected thereto. The gas mixing portion has a breath connecting element connected thereto. The breath connecting element has a scrubber connected thereto. The scrubber is provided with an absorbent heating element and a temperature detecting component. The temperature detecting component has a state display connected thereto. The absorbent heating element and the state display are electrically connected to a power supplying portion. Thereby, the scrubber can recycle gas exhaled by a user to prolong the duration of use of the rebreather. Additionally, the absorbent heating element increases the temperature in the scrubber, thereby enhancing the adsorption efficiency and prolonging the overall duration of use.

Abstract: The present disclosure is intended to provide a smart television and a method for displaying a graphical user interface of a television screen shot. The method includes while a display device is displaying currently-played content, in response to receiving an input instruction for capturing a screen shot, acquiring a screen shot image comprising at least one object; and while the display device continues playing, displaying a screen shot content display layer on the display device. The screen shot content display layer is configured to present the screen shot image. The method further includes in response to receiving an input for selecting an object or a keyword matched with the object, displaying recommended content related to the object; in response to receiving a selection for a different object on the screen shot image by moving a focus frame, updating presentation of recommended content based on the selected different object.

Abstract: The present disclosure is intended to provide a smart television and a method for displaying a graphical user interface of a television screen shot. The method includes while a display device is displaying currently-played content, in response to receiving an input instruction for capturing a screen shot, acquiring a screen shot image comprising at least one object; and while the display device continues playing, displaying a screen shot content display layer on the display device. The screen shot content display layer is configured to present the screen shot image. The method further includes in response to receiving an input for selecting an object or a keyword matched with the object, displaying recommended content related to the object; in response to receiving a selection for a different object on the screen shot image by moving a focus frame, updating presentation of recommended content based on the selected different object.

Abstract: Sponsored and organic pieces of content are displayed in accordance with a blending model that is used to first identify a pattern of slots to which to assign either sponsored or organic pieces of content. This blending model is applied to a combination of both sponsored and non-sponsored pieces of content being considered for display to a user. This pattern only determines the slot assignments. The actual ranking of the pieces of content, and more particularly the actual ranking of the organic pieces of content, is determined by an ordering other than the ranking determined by the blending model, such as by using the original ordering of the second list. The pieces of content are then displayed in the order of this actual ranking, but in the slots indicated as having been assigned to be either sponsored or organic in the pattern determined by the blending model.

Abstract: In an example embodiment, a machine-learned model is trained to forecast a performance-based metric for a piece of content based on a budget applied to the piece of content. The increase in the performance-based metric that is due to a corresponding increase in budget may be termed “incrementality.” The machine-learned model is trained in such a way that incrementality is built into the model. More particularly, in an example embodiment, an asymmetric budget split process is used to create two groups of training data, one for high budget and one for low budget. Rather than relying on historical data, the asymmetric budget split process applies a high budget to a piece of content in a first subgroup (e.g., group of users) and a low budget to that same piece of content in a second subgroup, and then the performance results in each subgroup are compared.

Abstract: A scrubber-heating apparatus for a diving rebreather includes an oxygen supplying element. The oxygen supplying element has a gas mixing portion connected thereto. The gas mixing portion has a breath connecting element connected thereto. The breath connecting element has a scrubber connected thereto. The scrubber is provided with an absorbent heating element and a temperature detecting component. The temperature detecting component has a state display connected thereto. The absorbent heating element and the state display are electrically connected to a power supplying portion. Thereby, the scrubber can recycle gas exhaled by a user to prolong the duration of use of the rebreather. Additionally, the absorbent heating element increases the temperature in the scrubber, thereby enhancing the adsorption efficiency and prolonging the overall duration of use.

Abstract: The present disclosure is intended to provide a smart television and a method for displaying a graphical user interface of a television screen shot. The method includes while a display device is displaying currently-played content, in response to receiving an input instruction for capturing a screen shot, acquiring a screen shot image comprising at least one object; and while the display device continues playing, displaying a screen shot content display layer on the display device. The screen shot content display layer is configured to present the screen shot image. The method further includes in response to receiving an input for selecting an object or a keyword matched with the object, displaying recommended content related to the object; in response to receiving a selection for a different object on the screen shot image by moving a focus frame, updating presentation of recommended content based on the selected different object.

Abstract: Sponsored and organic pieces of content are displayed in accordance with a blending model that is used to first identify a pattern of slots to which to assign either sponsored or organic pieces of content. This blending model is applied to a combination of both sponsored and non-sponsored pieces of content being considered for display to a user. This pattern only determines the slot assignments. The actual ranking of the pieces of content, and more particularly the actual ranking of the organic pieces of content, is determined by an ordering other than the ranking determined by the blending model, such as by using the original ordering of the second list. The pieces of content are then displayed in the order of this actual ranking, but in the slots indicated as having been assigned to be either sponsored or organic in the pattern determined by the blending model.

Abstract: The present invention relates to the technical field of televisions, and provides a method for processing a television screenshot, a smart television, and a storage medium. To meet the demands of a more intuitive user interface and a seamless user interaction function, multiple sets of optional bars are displayed while displaying current playback content on a display screen in response to an input screenshot operation instruction, wherein optional bars are respectively used for displaying a picture thumbnail of a screenshot, recognizing content-related recommended content on the basis of an image of the screenshot, and/or responding to a user control instruction input interface for an operation associated with the screenshot.

Abstract: The present disclosure is intended to provide a smart television and a method for displaying a graphical user interface of a television screen shot. The method includes while a display device is displaying currently-played content, in response to receiving an input instruction for capturing a screen shot, acquiring a screen shot image comprising at least one object; and while the display device continues playing, displaying a screen shot content display layer on the display device. The screen shot content display layer is configured to present the screen shot image. The method further includes in response to receiving an input for selecting an object or a keyword matched with the object, displaying recommended content related to the object; in response to receiving a selection for a different object on the screen shot image by moving a focus frame, updating presentation of recommended content based on the selected different object.

Abstract: An indication of a plurality of different entities in a social networking service is received, including at least two entities having a different entity type. A plurality of user profiles in the social networking service is accessed. A first machine-learned model is used to learn embeddings for the plurality of different entities in a d-dimensional space. A second machine-learned model is used to learn an embedding for each of one or more query terms that are not contained in the indication of the plurality of different entities in the social networking service, using the embeddings for the plurality of different entities learned using the first machine-learned model, the second-machine learned model being a deep structured semantic model (DSSM). A similarity score between a query term and an entity is calculated by computing distance between the embedding for the query term and the embedding for the entity in the d-dimensional space.

Abstract: In an example embodiment, a machine-learned model is trained to rank anomaly points in time series data. The model is capable of being applied in parallel to many different time series simultaneously, allowing for a scalable solution for large scale online networks. The model outputs a ranking score for an input anomaly and allows for ranking of anomalies not just in the same time series but anomalies across multiple time series as well. This ranking can then be used to determine how best to present the ranked anomalies to users in a graphical user interface.