Abstract: Disclosed herein is a system and method of identifying misplaced products on a retail shelf using a feature extractor trained to extract features from images of products on the shelf and output identifying information regarding the product in the product image. The extracted features are compared to extracted features in a product library and a best fit is obtained. A misplaced product is identified if the identifying information produced by the feature extractor fails to match the identifying information associated with the best fit features from the product library.

Abstract: Provided are a display device and a method for manufacturing the same, the display device includes: a back plate, a cover plate and a display panel, the cover plate is opposite to the back plate, the cover plate has a central area and a peripheral area, the display panel is fixed to the central area, the back plate includes a base plate and a side wall part, a surface of the side wall part facing the cover plate is a bonding surface; a portion of areas on the bonding surface are provided with a supporting structure, which includes multiple bumps with a same height and arranged at intervals, surfaces of the bumps facing the cover plate contact the peripheral area; a structural adhesive is provided between a portion of the bonding surface without the supporting structure and the cover plate to fix the cover plate to the bonding surface.

Abstract: Provided is a method of treating a cancer in an individual using activated T cells or PBMCs induced by antigen presenting cells (such as dendritic cells) loaded with a plurality of tumor antigen peptides. The method may further comprise administration of the antigen presenting cells loaded with the plurality of tumor antigen peptides to the individual. The methods may be used singly or in combination with an immune checkpoint inhibitor. Also provided are precision therapy methods customized for the individual using neoantigen peptides or based on the mutation load in the tumor of the individual, methods of preparing the activated T cells, methods of monitoring the treatment, methods of cloning tumor-specific T cell receptors, an isolated population of cells comprising the activated T cells, and compositions and kits useful for cancer immunotherapy.

Abstract: Provided is a method of treating a cancer in an individual using activated T cells or PBMCs induced by antigen presenting cells (such as dendritic cells) loaded with a plurality of tumor antigen peptides. The method may further comprise administration of the antigen presenting cells loaded with the plurality of tumor antigen peptides to the individual. The methods may be used singly or in combination with an immune checkpoint inhibitor. Also provided are precision therapy methods customized for the individual using neoantigen peptides or based on the mutation load in the tumor of the individual, methods of preparing the activated T cells, methods of monitoring the treatment, methods of cloning tumor-specific T cell receptors, an isolated population of cells comprising the activated T cells, and compositions and kits useful for cancer immunotherapy.

Abstract: A method, device and electronic apparatus for estimating physical parameters are disclosed. The method includes: reading a Newton's rings fringe pattern obtained by performing an interferometric measurement on a unit to be measured; obtaining the number and length of first-direction signals of the Newton's rings fringe pattern; performing, for each of the first-direction signals, a discrete chirp Fourier transform (DCFT) on the first-direction signal based on each first chirp rate parameter within a range of the length of first-direction signals, to obtain a first magnitude spectrum of an intensity distribution signal in a DCFT domain; determining a first chirp rate parameter and a first frequency parameter corresponding to a first magnitude peak value based on the first magnitude spectrum; and estimating the physical parameters involved in the interferometric measurement at least according to the first chirp rate parameter and first frequency parameter corresponding to the first magnitude peak value.

Abstract: Systems, methods, and computer program products are described that include obtaining, at a processor, a first image from an image capture device onboard a computing device, detecting, using the processor and at least one sensor, a device orientation of the computing device associated with capture of the first image, determining, based on the device orientation and a tracking stack associated with the computing device, a rotation angle in which to rotate the first image, rotating the first image to the rotation angle to generate a second image, and generating neural network based estimates associated with the first image and the second image.

Abstract: Disclosed is a pharmaceutical composition comprising (i) a compound of formula (I) or a pharmaceutically acceptable salt thereof; (ii) a CDK inhibitor or a pharmaceutically acceptable salt thereof, for the prevention and/or treatment of a disease mediated by Bcl-2 and/or CDK activity.

Abstract: Provided is a method of treating a cancer in an individual using activated T cells or PBMCs induced by antigen presenting cells (such as dendritic cells) loaded with a plurality of tumor antigen peptides. The method may further comprise administration of the antigen presenting cells loaded with the plurality of tumor antigen peptides to the individual. The methods may be used singly or in combination with an immune checkpoint inhibitor. Also provided are precision therapy methods customized for the individual using neoantigen peptides or based on the mutation load in the tumor of the individual, methods of preparing the activated T cells, methods of monitoring the treatment, methods of cloning tumor-specific T cell receptors, an isolated population of cells comprising the activated T cells, and compositions and kits useful for cancer immunotherapy.

Abstract: A method of one shot joint instance and pose recognition in an artificial neural network is presented. The method includes receiving a reference instance of a reference object from a reference image. The reference object has a first identity and a first pose in the reference instance. The method also includes generating a first orbit of the reference object comprising multiple additional poses including a second pose for the reference object. The method further includes recognizing a second instance of an example object from an example image. The example object has the first identity and the second pose in the second instance. The method still further includes recognizing the second pose and first identity of the example object based on comparing the first orbit with a second orbit of the example object.

Abstract: There is provided a device configured to transcribe an appearance of a human being, said device comprising a common housing holding an image capturing sensor, a computing device comprising a data processor, and a computer program product comprising a first machine learning model trained for detecting and labeling human beings, a second machine learning model trained for detecting appearances of human beings and a transcription module to transcribe the detected appearances of human beings to text.

Abstract: Systems, methods, and computer program products are described that include obtaining, at a processor, a first image from an image capture device onboard a computing device, detecting, using the processor and at least one sensor, a device orientation of the computing device associated with capture of the first image, determining, based on the device orientation and a tracking stack associated with the computing device, a rotation angle in which to rotate the first image, rotating the first image to the rotation angle to generate a second image, and generating neural network based estimates associated with the first image and the second image.

Abstract: A physical parameter estimating method, a physical parameter estimating device, and electronic apparatus are disclosed.

Abstract: A yeast-containing dough that is used to form a leavened dough product having a desired degree of leavening is initially formed as two separate dough subcomponents that, when combined, leavens through a fermentation reaction process to form a dough having the desired degree of leavening. The first dough subcomponent includes a leavening activator, flour, salt and water, while the second dough component includes a biological leavening agent, flour, and water. When combined, the leavening agent reacts in the presence of the biological leavening activator through a fermentation process to form the dough having a desired degree of leavening, which can then be heated to a temperature exceeding a viability temperature of the leavening activator to terminate the fermentation process and form the leavened dough product. The dough can also be combined with at least one non-dough component to form the leavened dough product.

Abstract: Systems, methods, and computer program products are described that include obtaining, at a processor, a first image from an image capture device onboard a computing device, detecting, using the processor and at least one sensor, a device orientation of the computing device associated with capture of the first image, determining, based on the device orientation and a tracking stack associated with the computing device, a rotation angle in which to rotate the first image, rotating the first image to the rotation angle to generate a second image, and generating neural network based estimates associated with the first image and the second image.

Abstract: Provided is a method of treating a cancer in an individual using activated T cells or PBMCs induced by antigen presenting cells (such as dendritic cells) loaded with a plurality of tumor antigen peptides. The method may further comprise administration of the antigen presenting cells loaded with the plurality of tumor antigen peptides to the individual. The methods may be used singly or in combination with an immune checkpoint inhibitor. Also provided are precision therapy methods customized for the individual using neoantigen peptides or based on the mutation load in the tumor of the individual, methods of preparing the activated T cells, methods of monitoring the treatment, methods of cloning tumor-specific T cell receptors, an isolated population of cells comprising the activated T cells, and compositions and kits useful for cancer immunotherapy.

Abstract: An information presentation method and apparatus is provided. The method may include: acquiring driving data of a vehicle; and presenting information associated with a driving process of the vehicle to a user by using a visualization tool, wherein the visualization tool is constructed based on an information generation interface, and the information generation interface is capable of generating an information item corresponding to the information generation interface based on the driving data of the vehicle, the information item is in the information associated with the driving process.

Abstract: A method of tracking an object includes performing a hybrid search over a sequence of frames. The hybrid search includes periodically performing a global search on selected frames of the sequence of frames and performing a local search on frames between the selected frames of the global search. The method also includes updating a similarity function based on a result of the hybrid search. The method further includes tracking the object based on the hybrid search.

Abstract: An apparatus may be configured to obtain, for a Siamese neural network having a recurrent neural network (RNN), an initial representation associated with a target object at a first time step and a set of candidate regions at a current time step. The apparatus may determine an updated representation associated with the target object based on the initial representation at the first time step and observed information associated with the target object at a set of previous time steps, and the observed information associated with the target object may be represented by a hidden state of the RNN. The apparatus may output the updated representation associated with the target object for matching with the set of candidate regions at the current time step by the Siamese neural network. The apparatus may determine the updated representation further based on a hidden state at a previous time step.

Abstract: A photographing method, a photographing device and a mobile terminal. The photographing method comprises steps of: acquiring, when a lens is at a first position, a first distance between a photographed object and the lens and a second distance by which the photographed object moves after the photographed object is projected on a photosensitive chip, wherein the first position is a position where the lens is located when the photographed object has the highest imaging definition; determining a second position of the lens after the lens is shifted from the first position according to the first distance and the second distance; and controlling the lens to move from the second position to the first position to photograph the photographed object.

Abstract: A method, device and electronic apparatus for estimating physical parameters are disclosed. The method includes: reading a Newton's rings fringe pattern obtained by performing an interferometric measurement on a unit to be measured; obtaining the number and length of first-direction signals of the Newton's rings fringe pattern; performing, for each of the first-direction signals, a discrete chirp Fourier transform (DCFT) on the first-direction signal based on each first chirp rate parameter within a range of the length of first-direction signals, to obtain a first magnitude spectrum of an intensity distribution signal in a DCFT domain; determining a first chirp rate parameter and a first frequency parameter corresponding to a first magnitude peak value based on the first magnitude spectrum; and estimating the physical parameters involved in the interferometric measurement at least according to the first chirp rate parameter and first frequency parameter corresponding to the first magnitude peak value.