Abstract: The present disclosure provides a primary frequency modulation method for a wind turbine, which may include: detecting a current frequency of a power grid; determining an instruction value of a power change amount for a primary frequency modulation by a first determining process when the current frequency of the power grid is less than a standard frequency of the power grid, wherein the first determining process may include: determining a reference value of the power change amount for the primary frequency modulation based on the current frequency; and when it is determined that currently there is an active power headroom for the wind turbine, comparing the reference value with a current active power headroom value of the wind turbine and determining the instruction value of the power change amount for the primary frequency modulation; and performing the primary frequency modulation based on the instruction value of the power change amount.

Abstract: Provided in the present invention are uses of a compound as represented by formula I in preparing a stem cell apoptosis antagonist. Also provided are uses of the compound as represented by formula I in preparing a medicament for preventing or treating cell apoptosis-related diseases, and a culturing method employing the compound as represented by formula I for stem cell culturing. The compound as represented by formula I is (I).

Abstract: The present disclosure provides a backlight module, which includes: a transparent light guiding body having a light incidence side surface and a sealed accommodating cavity; a plurality of quantum dots accommodated in the accommodating cavity; and a light source disposed adjacent to the light incidence side surface. The present disclosure also provides a liquid crystal display having the backlight module. The present disclosure prevent the quantum dot material from being affected by moisture and oxygen by sealing the quantum dot materials using glass flat plates, thereby facilitating the display of the liquid crystal display.

Abstract: The present invention provides a backlight module used in liquid crystal displays. The backlight module includes a quantum dots film, a light guide plate and a light source module. A light is emitted from the light source module enter into the quantum dots film through the light guide plate. The quantum dots film comprises an active region and an inactive region. The light source module includes a blue light source and a green light source. The blue light source is corresponding to the active region, and the green light source is corresponding to the inactive region. The present invention further provides a backlight module used in liquid crystal displays. The present invention provides a backlight module and quantum dots film of liquid crystal display which can resolve a defect of quantum dots film fails in the cutting position, and the quantum dots film has high color gamut conversion.

Abstract: The present disclosure provides a liquid crystal display and a backlight module which includes a reflective sheet, a light guide plate disposed on the reflective sheet, an optical assembly and a light source assembly, the light guide plate including a light guide portion and a support portion disposed to surround the light guide portion, and the optical assembly being located on a top of the light guide portion; and the light source assembly including a plurality of LEDs which are disposed between the support portion and the light guide portion and disposed to be opposite to an incident surface of the light guide portion. The light guide plate according to the present disclosure includes a light guide portion and a support portion disposed to surround the light guide portion, wherein the support portion is used to support the display module and fix the backlight module, thereby omitting a rubber frame.

Abstract: An image processing system automatically segments and labels an image using a hierarchical classification model. A global classification model determines initial labels for an image based on features of the image. A label-based descriptor is generated based on the initial labels. A local classification model is then selected from a plurality of learned local classification model based on the label-based descriptor. The local classification model is applied to the features of the input image to determined refined labels. The refined labels are stored in association with the input image.

Abstract: The present invention provides a backlight module, including a plastic frame, a light guide plate, a reflective sheet, a backlight lamp and an optical film, wherein the light guide plate and the optical film are sequentially overlapped and disposed on the reflective sheet; the plastic frame surrounds the light guide plate and the optical film, and a peripheral edge of the plastic frame is provided and received with the backlight lamp; the backlight module also includes a quantum dot film; an inner circumferential surface of the plastic frame is provided with a green compensation layer; the backlight lamp is located between a light incident surface of the light guide plate and the plastic frame; the quantum dot film is overlapped on the light guide plate, and is located between the light guide plate and the optical film. A display panel is also disclosed.

Abstract: The present invention provides a quantum dot backlight module, which includes a quantum dot film arranged on a side of the light guide plate that is distant from the light reflector board and an optical coating layer arranged on a side of the quantum dot film that is distant from the light guide plate, or alternatively includes a quantum dot tube arranged between a light guide plate and a backlight source and an optical coating layer arranged on a side of the light guide plate that is adjacent to the quantum dot tube, so that for the purpose of emission of white backlighting, the optical coating layer is used to reflect a part of monochromatic light emitting from the backlight source toward the quantum dot film or the quantum dot tube for re-excitation for light emission so as to increase excitation performance of the quantum dot film or the quantum dot tube, improve brightness and gamut of the quantum dot backlight module, and enhance product quality.

Abstract: The present invention provides a backlight module, including a plastic frame, a light guide plate, a reflective sheet, a backlight lamp and an optical film, wherein the light guide plate and the optical film are sequentially overlapped and disposed on the reflective sheet; the plastic frame surrounds the light guide plate and the optical film, and a peripheral edge of the plastic frame is provided and received with the backlight lamp; the backlight module also includes a quantum dot film; an inner circumferential surface of the plastic frame is provided with a green compensation layer; the backlight lamp is located between a light incident surface of the light guide plate and the plastic frame; the quantum dot film is overlapped on the light guide plate, and is located between the light guide plate and the optical film. A display panel is also disclosed.

Abstract: The present invention provides a backlight module used in liquid crystal displays. The backlight module includes a quantum dots film, a light guide plate and a light source module. A light is emitted from the light source module enter into the quantum dots film through the light guide plate. The quantum dots film comprises an active region and an inactive region. The light source module includes a blue light source and a green light source. The blue light source is corresponding to the active region, and the green light source is corresponding to the inactive region. The present invention further provides a backlight module used in liquid crystal displays. The present invention provides a backlight module and quantum dots film of liquid crystal display which can resolve a defect of quantum dots film fails in the cutting position, and the quantum dots film has high color gamut conversion.

Abstract: A method of expanding double negative T cells in culture is described. The method comprises (a) providing a starting sample comprising DN T cells or precursors thereof; (b) substantially depleting CD8+ and CD4+ T cells from the starting sample; (c) culturing the sample from step (b) with an immobilized T cell mitogen in a culture medium comprising an agent that can stimulate DN T cell growth (d) washing the cells obtained in step (c) and resuspending in a culture medium comprising the agent without the T cell mitogen; and (e) washing the cells obtained in step (d) and resuspending in a culture medium comprising the agent and a soluble T cell mitogen. The DN T cells obtained by the method are useful in a variety of applications including the treatment of cancer, infectious diseases, graft versus host disease and autoimmune disease.

Abstract: The present invention discloses a 3D printer, comprising a printing chamber, and the printing chamber comprises a printing assembly and a loading platform inside, and the printing assembly is located above the loading platform, and the printing assembly comprises a printing support and a printing head assembly and a curing lamp assembly connected on the printing support, and the printing support is moved along a printing direction, and in the printing direction, the printing head assembly is in front of the curing lamp assembly, and the printing head assembly comprises a main printing head of printing a model mainbody and a sub printing head of printing support material, and material of the model mainbody is photosensitive resin, and a printing temperature inside the printing chamber is lower than a solidification temperature of the support material, and the support material is solidified at the printing temperature.

Abstract: An image processing system automatically segments and labels an image using a hierarchical classification model. A global classification model determines initial labels for an image based on features of the image. A label-based descriptor is generated based on the initial labels. A local classification model is then selected from a plurality of learned local classification model based on the label-based descriptor. The local classification model is applied to the features of the input image to determined refined labels. The refined labels are stored in association with the input image.

Abstract: An image processing system automatically segments and labels an image using a hierarchical classification model. A global classification model determines initial labels for an image based on features of the image. A label-based descriptor is generated based on the initial labels. A local classification model is then selected from a plurality of learned local classification model based on the label-based descriptor. The local classification model is applied to the features of the input image to determined refined labels. The refined labels are stored in association with the input image.

Abstract: Embodiments generally relate to summarizing a photo album in a social network system. In one embodiment, a method includes grouping photos into a plurality of groups of photos, and selecting a plurality of representative photos, where each representative photo represents a respective group from the plurality of groups, where the selecting is based on a quality score of each of the photos, and where each quality score is based on different types of attributes. The method also includes enabling the plurality of representative photos to be shared.

Abstract: A method of expanding double negative T cells in culture is described. The method comprises (a) providing a starting sample comprising DN T cells or precursors thereof; (b) substantially depleting CD8+ and CD4+ T cells from the starting sample; (c) culturing the sample from step (b) with an immobilized T cell mitogen in a culture medium comprising an agent that can stimulate DN T cell growth (d) washing the cells obtained in step (c) and resuspending in a culture medium comprising the agent without the T cell mitogen; and (e) washing the cells obtained in step (d) and resuspending in a culture medium comprising the agent and a soluble T cell mitogen. The DN T cells obtained by the method are useful in a variety of applications including the treatment of cancer, infectious diseases, graft versus host disease and autoimmune disease.

Abstract: An exemplar dictionary is built from exemplars of digital content for determining predictor blocks for encoding and decoding digital content. The exemplar dictionary organizes the exemplars as clusters of similar exemplars. Each cluster is mapped to a label. Machine learning techniques are used to generate a prediction model for predicting a label for an exemplar. The prediction model can be a hashing function that generates a hash key corresponding to the label for an exemplar. The prediction model learns from a training set based on the mapping from clusters to labels. A new mapping is obtained that improves a measure of association between clusters and labels. The new mapping is used to generate a new prediction model. This process is repeated in order to iteratively refine the machine learning modes generated.

Abstract: A method of expanding double negative T cells in culture is described. The method comprises (a) providing a starting sample comprising DN T cells or precursors thereof; (b) substantially depleting CD8+ and CD4+ T cells from the starting sample; (c) culturing the sample from step (b) with an immobilized T cell mitogen in a culture medium comprising an agent that can stimulate DN T cell growth; (d) washing the cells obtained in step (c) and resuspending in a culture medium comprising the agent without the T cell mitogen; and (e) washing the cells obtained in step (d) and resuspending in a culture medium comprising the agent and a soluble T cell mitogen. The DN T cells obtained by the method are useful in a variety of applications including the treatment of cancer, infectious diseases, graft versus host disease and autoimmune disease.

Abstract: A video is segmented to produce volumetric video regions. Descriptors are created for the video regions. A region graph is created for the video, where the region graph has weighted edges incident to video regions and the weight of an edge is calculated responsive to the descriptors of the video regions incident to the edge. The region graph is segmented responsive to the weights of the edges incident to the video regions to produce a new region graph having new volumetric video regions comprised of merged video regions of the first region graph. The descriptions of the region graphs are stored in a data storage.

Abstract: An image comprising color pixels with varying illumination is selected. Instances of a repeating pattern in the image are determined. Illumination values for illuminated pixels at locations within instances of the repeating pattern are calculated based on pixel intensities of non-illuminated pixels at corresponding locations in other instances of the repeating pattern. The illumination variation is removed from the illuminated pixels based on the calculated illumination values to produce enhanced pixels. Color from the non-illuminated pixels at the corresponding locations in other instances of the repeating pattern is propagated to the enhanced pixels.