Abstract: Provided is a functional edible oil (FEO), a preparation method therefor and use thereof. The FEO is prepared by ternary transesterification of medium-chain triglycerides (MCTs), oils rich in linoleic acid, and oils rich in linolenic acid. The fatty acid composition and distribution of the FEO were determined and optimized via comparative analysis of indexes such as melting point, and effect of improving glucose and lipid metabolism as determined by animal tests. The FEO has a mass ratio of 2.3 to 4.0 for medium chain fatty acids (MCFAs) in MCTs to long chain fatty acids (LCFAs) in the oils rich in linoleic acid, and oils rich in linolenic acid and a mass ratio of 0.5 to 1.0 for linoleic acid to linolenic acid in the LCFAs, by mass of fatty acids. The FEO is added to food products at ?18.00%.

Abstract: Batteries include a current collector, a cathode, an interlayer disposed on the cathode, a solid-state electrolyte disposed on the interlayer, and a lithium anode disposed on the solid-state electrolyte. In aspects, the interlayer includes a lithium salt and a sulfone compound within a polymeric matrix. In aspects, the interlayer includes a lithium salt and a sulfone compound. In aspects, methods of forming a battery comprise disposing a precursor solution comprising a lithium salt, a sulfone compound, and a monomer on a first major surface of a cathode. Methods can further include curing the precursor solution to form an interlayer including the lithium salt and the sulfone compound within a polymeric matrix. In aspects, methods can include disposing a lithium salt and a sulfone compound on a first major surface of a cathode. Methods further include disposing a solid-state electrolyte over the first major surface of the cathode.

Abstract: Disclosed is a base oil for functional food oils and fats, a preparation method therefor and the use thereof. The base oil for functional food oils and fats is formed through ternary transesterification on medium-chain triglycerides, high-melting-point fat and oils rich in linolenic acid. The base oil for functional food oils and fats has a wide melting range, can significantly improve the glucose and lipid metabolism disorder, balance the essential and functional fatty acids in the body, and quickly replenish energy. Animal experiments were conducted and the fatty acid composition and distribution of the base oil were optimized and determined through comparative analysis based on evaluation indicators such as the improved effect in glucose and lipid metabolism and melting point.

Abstract: Disclosed is a triboelectric nanogenerator-based biochemical droplet reaction device, which includes a reaction generating part and a power generation part. The power generation part includes a triboelectric component and a rectifier circuit. The triboelectric component includes a drive electrode, a substrate, a first friction electrode, a first friction material, a second friction material, and a second friction electrode arranged in sequence from top to bottom. A gap exists between the first friction material and the second friction material. The first friction electrode is connected to the first friction material. The second friction electrode is connected to the second friction material. The drive electrode, the first friction electrode, and the second friction electrode are all connected to the rectifier circuit. Also disclosed is a reaction method.

Abstract: Disclosed is a triboelectric nanogenerator-based biochemical droplet reaction device, which includes a reaction generating part and a power generation part. The power generation part includes a triboelectric component and a rectifier circuit. The triboelectric component includes a drive electrode, a substrate, a first friction electrode, a first friction material, a second friction material, and a second friction electrode arranged in sequence from top to bottom. A gap exists between the first friction material and the second friction material. The first friction electrode is connected to the first friction material. The second friction electrode is connected to the second friction material. The drive electrode, the first friction electrode, and the second friction electrode are all connected to the rectifier circuit. Also disclosed is a reaction method.

Abstract: A method includes generating, as executed by a processor on a computer, a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, generating a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.

Abstract: A system includes a user model module that generates a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, a expertise model building module that generates a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, and a processor of a computer that executes instructions for comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.

Abstract: The present disclosure provides label data leakage channel detection methods and apparatuses. According to one exemplary label data leakage channel detection method, detection labels are generated based on normal labels of a user. The detection labels can be associated with different data usage channels, so as to indirectly detect usage of the detection labels. Possible data leakage channels can be effectively detected based on massive data indexing and searching. One exemplary apparatus of the present disclosure includes a detection label adding module, a channel association module, an interception module, an intercepted information analysis module, a channel searching module, and an output module. The detection methods and apparatuses provided by the present disclosure have the advantages of high detection efficiency and the capability of processing massive and dynamic user label data.

Abstract: Techniques for multimodal data fusion having a multimodal hierarchical dictionary learning framework that learns latent subspaces with hierarchical overlaps are provided. In one aspect, a method for multi-view data fusion with hierarchical multi-view dictionary learning is provided which includes the steps of: extracting multi-view features from input data; defining feature groups that group together the multi-view features that are related; defining a hierarchical structure of the feature groups; and learning a dictionary using the feature groups and the hierarchy of the feature groups. A system for multi-view data fusion with hierarchical multi-view dictionary learning is also provided.

Abstract: The present disclosure provides label data leakage channel detection methods and apparatuses. According to one exemplary label data leakage channel detection method, detection labels are generated based on normal labels of a user. The detection labels can be associated with different data usage channels, so as to indirectly detect usage of the detection labels. Possible data leakage channels can be effectively detected based on massive data indexing and searching. One exemplary apparatus of the present disclosure includes a detection label adding module, a channel association module, an interception module, an intercepted information analysis module, a channel searching module, and an output module. The detection methods and apparatuses provided by the present disclosure have the advantages of high detection efficiency and the capability of processing massive and dynamic user label data.

Abstract: The present disclosure provides label data leakage channel detection methods and apparatuses. According to one exemplary label data leakage channel detection method, detection labels are generated based on normal labels of a user. The detection labels can be associated with different data usage channels, so as to indirectly detect usage of the detection labels. Possible data leakage channels can be effectively detected based on massive data indexing and searching. One exemplary apparatus of the present disclosure includes a detection label adding module, a channel association module, an interception module, an intercepted information analysis module, a channel searching module, and an output module. The detection methods and apparatuses provided by the present disclosure have the advantages of high detection efficiency and the capability of processing massive and dynamic user label data.

Abstract: A heat-dissipating device configured to cool the battery pack of an electric vehicle includes a coolant circulating pump and a tank. The coolant circulating pump is configured to engage with the one or more heat dissipation pipes of the electric vehicle and communicate with the one or more heat dissipation pipes. The tank is configured to contain coolant which includes phase change material. When cooling is required, for example during battery recharging, the coolant circulating pump is configured to inject the coolant in the tank into the one or more heat dissipation pipes via the coolant inlet, drive the coolant to flow in the one or more heat dissipation pipes, and take the coolant out from the one or more heat dissipation pipes via the coolant outlet to the exterior. A related electric vehicle and a related heat dissipation method are also provided.

Abstract: The present disclosure provides label data leakage channel detection methods and apparatuses. According to one exemplary label data leakage channel detection method, detection labels are generated based on normal labels of a user. The detection labels can be associated with different data usage channels, so as to indirectly detect usage of the detection labels. Possible data leakage channels can be effectively detected based on massive data indexing and searching. One exemplary apparatus of the present disclosure includes a detection label adding module, a channel association module, an interception module, an intercepted information analysis module, a channel searching module, and an output module. The detection methods and apparatuses provided by the present disclosure have the advantages of high detection efficiency and the capability of processing massive and dynamic user label data.

Abstract: Visualizing social media conflict is provided. Active users in a set of human users authoring a number of textual messages regarding a particular topic more than a threshold number of textual messages are selected. Keywords are selected that occur more than a threshold number of times within the textual messages regarding the particular topic. A sentiment score is computed for each of the keywords occurring more than the threshold number of times within the textual messages using a keyword co-occurrence graph. A sentiment of each of the active users is determined based on the computed sentiment score of each of the selected keywords that are authored by a particular active user. Two distinct groups from the active users are selected based on at least one of a relationship between the two distinct groups and a determined degree of conflict between the two distinct groups with regard to the particular topic.

Abstract: A dataset including at least one temporal event sequence is collected. A one-class sequence classifier f(x) that obtains a decision boundary is statistically learned. At least one new temporal event sequence is evaluated, wherein the at least one new temporal event sequence is outside of the dataset. It is determined whether the at least one new temporal event sequence is one of a normal sequence or an abnormal sequence based on the evaluation. Numerous additional aspects are disclosed.

Abstract: Automated contextual information retrieval techniques are provided based on multi-tiered user modeling and a dynamic retrieval strategy. Content relevant to a current message is presented by initially obtaining a multi-tiered user model containing a multi-tiered representation of interactions of a first user with each contact, wherein the multi-tiered representation includes a plurality of topic models each corresponding to interactions between the first user and one contact. The topic models contain a set of topics, each containing topic keywords. Context information is extracted based on content of the current message, a sender and/or a recipient of the current message, and the multi-tiered user model. A retrieval strategy is determined based on the extracted context information. Contextual queries are generated to search the information repositories selected based on the determined retrieval strategy.

Abstract: Video capture devices may be held in a frame having at least two openings and a plurality of slots on a first side and a plurality of tabs on a second side opposite the first side, the slots and tabs positioned such that when the frame is folded by folding the first side toward the second side, the tabs may be folded toward the first side, inserted into the slots and then folded parallel to the first side to secure the frame in a closed position. An application on a first device in the frame may establish a connection with a second device in the frame, synchronize a clock in the first device with a clock in the second device, initiating simultaneous video capture, record data indicating changes in orientation of the devices, and transmit the captured videos and the data indicating changes in orientation to a video processing tool.

Abstract: Techniques for multimodal data fusion having a multimodal hierarchical dictionary learning framework that learns latent subspaces with hierarchical overlaps are provided. In one aspect, a method for multi-view data fusion with hierarchical multi-view dictionary learning is provided which includes the steps of: extracting multi-view features from input data; defining feature groups that group together the multi-view features that are related; defining a hierarchical structure of the feature groups; and learning a dictionary using the feature groups and the hierarchy of the feature groups. A system for multi-view data fusion with hierarchical multi-view dictionary learning is also provided.

Abstract: Video capture devices may be held in a frame having at least two openings and a plurality of slots on a first side and a plurality of tabs on a second side opposite the first side, the slots and tabs positioned such that when the frame is folded by folding the first side toward the second side, the tabs may be folded toward the first side, inserted into the slots and then folded parallel to the first side to secure the frame in a closed position. An application on a first device in the frame may establish a connection with a second device in the frame, synchronize a clock in the first device with a clock in the second device, initiating simultaneous video capture, record data indicating changes in orientation of the devices, and transmit the captured videos and the data indicating changes in orientation to a video processing tool.

Abstract: A system includes a user model module that generates a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, a expertise model building module that generates a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, and a processor of a computer that executes instructions for comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.