Abstract: A ternary composite catalyst of diethylzinc and yttrium trifluoroacetate loaded on chitin for copolymerization of carbon dioxide, epoxy cyclohexane and ethylene oxide is provided. The ternary composite catalyst exhibits strong catalytic activity for the ternary copolymerization of carbon dioxide, cyclohexane oxide and ethylene oxide. A high molecular weight and content of ester chain is maintained. Conventional rare earth ternary catalysts leave residues in the polymer, and the polymer requires rinsing with hydrochloric acid. The ternary composite catalyst can be removed through filtration. The average molecular weight of the resulting polycarbonate is more than 100,000, and the ester chain content is more than 90%. The resulting polymer has a lower metal content. The ternary composite catalyst can be used in agricultural film, disposable packaging and other polymer materials.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterizing a gaze position of a user in a query image. One of the methods includes obtaining a query image of a user captured by a camera of a mobile device; obtaining device characteristics data specifying (ii) characteristics of the mobile device, (ii) characteristics of the camera of the mobile device, or (iii) both; and processing a neural network input comprising (i) one or more images derived from the query image and (ii) the device characteristics data using a gaze prediction neural network, wherein the gaze prediction neural network is configured to, at run time and after the gaze prediction neural network has been trained, process the neural network input to generate a neural network output that characterizes a gaze position of the user in the query image.

Abstract: Improved methods are provided for generating heatmaps or other summary map data from multiple users' data (e.g., probability distributions) in a manner that preserves the privacy of the users' data while also generating heatmaps that are visually similar to the ‘true’ heatmap. These methods include decomposing the average of the users' data (the ‘true’ heatmap) into multiple different spatial scales, injecting random noise into the data at the multiple different spatial scales, and then reconstructing the privacy-preserving heatmap based on the noisy multi-scale representations. The magnitude of the noise injected at each spatial scale is selected to ensure preservation of privacy while also resulting in heatmaps that are visually similar to the ‘true’ heatmap.

Abstract: Techniques for tuning an image editing operator for reducing a distractor in raw image data are presented herein. The image editing operator can access the raw image data and a mask. The mask can indicate a region of interest associated with the raw image data. The image editing operator can process the raw image data and the mask to generate processed image data. Additionally, a trained saliency model can process at least the processed image data within the region of interest to generate a saliency map that provides saliency values. Moreover, a saliency loss function can compare the saliency values provided by the saliency map for the processed image data within the region of interest to one or more target saliency values. Subsequently, the one or more parameter values of the image editing operator can be modified based at least in part on the saliency loss function.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterizing a gaze position of a user in a query image. One of the methods includes obtaining a query image of a user captured by a camera of a mobile device; obtaining device characteristics data specifying (ii) characteristics of the mobile device, (ii) characteristics of the camera of the mobile device, or (iii) both; and processing a neural network input comprising (i) one or more images derived from the query image and (ii) the device characteristics data using a gaze prediction neural network, wherein the gaze prediction neural network is configured to, at run time and after the gaze prediction neural network has been trained, process the neural network input to generate a neural network output that characterizes a gaze position of the user in the query image.

Abstract: The present invention relates to the technical field of wastewater treatment, and discloses a bioaugmentation treatment process for lithium battery producing wastewater. The method comprises the following steps: 1) introducing wastewater into a hydrolytic acidification tank, and adding Enterobacter sp. NJUST50 and activated sludge to the hydrolytic acidification tank for hydrolytic acidification treatment; 2) introducing the effluent into an anoxic tank, and adding Enterobacter sp. NJUST50 and anaerobic activated sludge for anoxic treatment; 3) introducing the effluent into an aerobic tank, and adding Enterobacter sp. NJUST50 and aerobic activated sludge for aerobic treatment; 4) introducing the effluent into an anoxic filter tank, and adding Enterobacter sp. NJUST50 and anaerobic activated sludge to the filter tank for treatment; and 5) introducing the effluent into a biological aerated filter tank, and adding a sludge mixture of Enterobacter sp.

Abstract: The disclosure relates to the field of digital pathology imaging technologies, in particular, to a digital pathology scanner for large-area microscopic imaging. The digital pathology scanner for large-area microscopic imaging includes a plurality of microscopic objectives and a plurality of digital image sensors; the microscopic objectives and the digital image sensors are equal in quantity and are fixed relatively in a one-to-one correspondence manner. The digital image sensors are sequentially distributed so as to form a sensor array. The sensor array enables images formed by the digital image sensors to be sequentially distributed without intervals in a second direction when moving in a first direction, wherein the first direction is perpendicular to the second direction.

Abstract: The disclosure relates to the field of digital pathology imaging technologies, in particular, to a digital pathology scanner for large-area microscopic imaging. The digital pathology scanner for large-area microscopic imaging includes a plurality of microscopic objectives and a plurality of digital image sensors; the microscopic objectives and the digital image sensors are equal in quantity and are fixed relatively in a one-to-one correspondence manner. The digital image sensors are sequentially distributed so as to form a sensor array. The sensor array enables images formed by the digital image sensors to be sequentially distributed without intervals in a second direction when moving in a first direction, wherein the first direction is perpendicular to the second direction.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterizing a gaze position of a user in a query image. One of the methods includes obtaining a query image of a user captured by a camera of a mobile device; obtaining device characteristics data specifying (ii) characteristics of the mobile device, (ii) characteristics of the camera of the mobile device, or (iii) both; and processing a neural network input comprising (i) one or more images derived from the query image and (ii) the device characteristics data using a gaze prediction neural network, wherein the gaze prediction neural network is configured to, at run time and after the gaze prediction neural network has been trained, process the neural network input to generate a neural network output that characterizes a gaze position of the user in the query image.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterizing a gaze position of a user in a query image. One of the methods includes obtaining a query image of a user captured by a camera of a mobile device; obtaining device characteristics data specifying (ii) characteristics of the mobile device, (ii) characteristics of the camera of the mobile device, or (iii) both; and processing a neural network input comprising (i) one or more images derived from the query image and (ii) the device characteristics data using a gaze prediction neural network, wherein the gaze prediction neural network is configured to, at run time and after the gaze prediction neural network has been trained, process the neural network input to generate a neural network output that characterizes a gaze position of the user in the query image.

Abstract: Exemplary methods, apparatuses, and systems for processing a search query of a user are detailed. For example, a search query may be received from a user at a social networking system, processed to generate a search result of a plurality of entity result cards and each result card that each include a plurality of order comments about the entity, a plurality of ordered images associated with the entity, contact information for the entity, wherein the comments and images take into account information about the user stored at the social networking system, and a result send to the user.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterizing a gaze position of a user in a query image. One of the methods includes obtaining a query image of a user captured by a camera of a mobile device; obtaining device characteristics data specifying (ii) characteristics of the mobile device, (ii) characteristics of the camera of the mobile device, or (iii) both; and processing a neural network input comprising (i) one or more images derived from the query image and (ii) the device characteristics data using a gaze prediction neural network, wherein the gaze prediction neural network is configured to, at run time and after the gaze prediction neural network has been trained, process the neural network input to generate a neural network output that characterizes a gaze position of the user in the query image.

Abstract: A surface modification device based on electrophoresis-assisted micro-nano particle melting and self-assembly, includes a working table, a particle and solution mixing and circulating container, a processing recess, a solution conveying apparatus, an electrophoresis-assisted apparatus, a vacuum heating apparatus and an integrated control cabinet. Sacrifice particles with a relatively low melting point are in a molten state. The molten particles cover or are adhered to another type of modified particles and the surface of the metal workpiece, so that the binding force between the metal workpiece and micro-nano particles is enhanced. By taking advantage of characteristics of the modified particles, hydrophilic and hydrophobic micro structures are obtained on the metal surface. The electrophoresis-assisted apparatus may greatly improve the deposition efficiency of extremely fine particles in a solution.

Abstract: A device and method for locally reinforcing and forming an elastic mold for micro-fluidic chips are provided. The device comprises a processing recess provided to a lathe, and a mold master pattern with a clamp installed in the processing recess through the mold master pattern clamp. The cathode of an electrophoresis auxiliary system is connected with a shaft of the lathe, and the output of the electrophoresis auxiliary system is simultaneously connected with the cathode and clamp of the mold master pattern, so that an auxiliary electric field can be formed between the mold master pattern and the cathode, so that a granular colloidal circulation system enables the mixed colloid produced by mixing reinforcing particles and filler colloid to deposit on the region to be reinforced of the elastic mold. A vacuum temperature control system is configured to heat and solidify the mixed colloid formed.

Abstract: A metal surface modification apparatus, includes: a particle and solution mixing and circulating system used for providing nanoparticle solution for a workpiece; a rotating platform used for fixing the workpiece and driving the workpiece to rotate; an electrophoresis system used for depositing particles in the nanoparticle solution in the particle and solution mixing and circulating system to a surface of the workpiece according to an electrophoretic effect; and a temperature control apparatus used for changing a surface temperature of the workpiece. The metal surface modification apparatus provided in the present disclosure may perform hydrophilic and hydrophobic modification treatment on a metal surface by combining one or more different processes.

Abstract: Exemplary methods, apparatuses, and systems for processing a search query of a user are detailed. For example, a search query may be received from a user at a social networking system, processed to generate a search result of a plurality of entity result cards and each result card that each include a plurality of order comments about the entity, a plurality of ordered images associated with the entity, contact information for the entity, wherein the comments and images take into account information about the user stored at the social networking system, and a result send to the user.

Abstract: In one embodiment, a method includes a computing system receiving a query from a first user, which can be parsed to identify i conditions associated with the query. The system may then identify one or more search results substantially matching the i conditions. Each search result may be associated with a feature vector of j features. The system may then access a conditioned ranking model that comprises j scoring functions for each i condition. The j scoring functions may correspond to j features of the feature vectors. A score for each search result may be calculated based on the i conditions and the j features. The system may then receive a selection of one of the search results from the first user, and in response modify one or more of the j scoring functions of the conditioned ranking model based on the selection.

Abstract: Determining ranked candidate media in response to media query data corresponding to a query media includes receiving the media query data including feature data of the query media, coordinate data, and boundary data, matching the features with corresponding features of an media database using the feature data to identify features in the media database within a predetermined hamming distance in a hash table from the corresponding features of the query media to obtain matched features in the media database, determining candidate media whose number of matched features exceeds a matched feature threshold, generating a geometry similarity score between the query media and each candidate media using the feature data and the coordinate data, generating a boundary similarity score between the query media and each candidate media using the boundary data, ranking the candidate media based on the numbers of matched features, the geometry similarity scores and the boundary similarity scores.

Abstract: Determining ranked candidate media in response to media query data corresponding to a query media includes receiving the media query data including feature data of the query media, coordinate data, and boundary data, matching the features with corresponding features of an media database using the feature data to identify features in the media database within a predetermined hamming distance in a hash table from the corresponding features of the query media to obtain matched features in the media database, determining candidate media whose number of matched features exceeds a matched feature threshold, generating a geometry similarity score between the query media and each candidate media using the feature data and the coordinate data, generating a boundary similarity score between the query media and each candidate media using the boundary data, ranking the candidate media based on the numbers of matched features, the geometry similarity scores and the boundary similarity scores.

Abstract: Multiple candidate feature components of media content or projection matrices (or other hash functions, e.g., non-linear projections) are identified. Each of the candidate projection matrices (or other hash functions) includes an array of coefficients that relate to the candidate features. A subgroup of the candidate features or the projection matrices (or other hash functions) are selected based at least partially on an optimized combination of at least two characteristics of the candidate features or projection matrices (or other hash functions). Media fingerprints that uniquely identify the media content are derived from the selected optimized subgroup. Optimal projection matrices (or other hash functions) may be designed. Performance or sensitivity (e.g., search time) characteristics of the fingerprints are thus balanced with robustness characteristics thereof.