Abstract: Techniques for creating an interest graph include obtaining content items from multiple content sources and applying tailored (e.g., source-specific) preprocessing to the content items based on their respective content source. Text is extracted and salient keywords and key phrases are identified using unsupervised machine learning models. The keywords and key phrases become nodes in an interest graph, each node comprising an embedding of a keyword or key phrase in a common embedding space, with edges representing semantic similarity based on embeddings or co-engagement patterns. The graph provides an expansive, granular, and dynamic taxonomy easily adaptable to emerging interests. The interest graph overcomes limitations of conventional taxonomies that lack depth, fail to capture niche interests, and cannot adapt to reflect evolving user preferences. The described techniques construct a rich interest graph from diverse content for improved content understanding.

Abstract: Techniques for automated tagging of visual content are described. A pairwise model is used to encode images and videos with a vision encoder, and encode keywords and phrases from an interest graph with a text encoder. Similarity layers compare these cross-modality embeddings by calculating distance in a shared embedding space. Scores indicate the association between visual features and text. A pairwise loss function brings together matched pairs while separating non-matches during training. Scores exceeding a threshold tag content with relevant keywords and phrases. The pairwise architecture relates images and text despite limited associated text. It leverages vision-to-text understanding for accurate tagging without per-class labels. Contrastive similarity techniques associate visual patterns with textual concepts. Automated tagging organizes user-generated content by topics using this scalable cross-modality approach.

Abstract: An embodiment of the present disclosure provides a leveling agent, which is specifically a polypyridine compound, where the polypyridine compound includes a structural unit shown in Formula (I) or a protonated product of the structural unit shown in Formula (I): In Formula (I), R1 and R2 are independently any one of the following: substituted or unsubstituted alkylene, substituted or unsubstituted arylene, substituted or unsubstituted arylene alkyl, substituted or unsubstituted alkylene aryl, alkylene containing an ether oxygen atom, ester, and/or imide, arylene containing an ether oxygen atom, ester, and/or imide, arylene alkyl containing an ether oxygen atom, ester, and/or imide, and alkylene aryl containing an ether oxygen atom, ester, and/or imide; and R3 is any one of groups such as a single bond, substituted or unsubstituted alkylene, substituted or unsubstituted arylene, substituted or unsubstituted arylene alkyl, and substituted or unsubstituted alkylene aryl.

Abstract: The invention discloses a multi-stage shock absorption and seismic resistance system for urban underground comprehensive pipe tunnels. It includes a pipe gallery tunnel and pipeline grooves. Inside the tunnel, a multi-segment active cavity with multiple arc-shaped inner cavity walls forms a pipe shape with the same axis line as the tunnel. Each inner cavity wall has a sealing elastic contact pad, ensuring a tight seal. Adjacent active cavities connect end to end, forming an inner tunnel body that extends with the pipe tunnel. The outer wall of the inner cavity is fixed to the tunnel's inner wall by a fixed frame. The pipeline groove is installed on the inner wall of the inner cavity through a telescopic frame. The inner tunnel body can swing up and down or left and right, absorbing transverse and longitudinal earthquake waves and resisting impact and collapse.

Abstract: A chatbot system detects commercial intent during conversations with users and provides targeted advertisements. The chatbot system extracts keyword candidates from a conversation and assigns relevance scores based on the meaning of the conversation and commercial scores based on a machine learning model trained to detect commercially-related keywords. The chatbot system selects keywords based on a combination of the scores and transmits the selected keywords to advertising content servers that provide advertising content including advertisements selected using the keywords. The chatbot system displays the advertisements to the user during the conversation.

Abstract: The invention discloses a system for enhancing the damping and aseismic capacities of an underground integrated pipe rack. It includes a pipe fixing assembly installed on the inner walls of the underground space on both sides. The assembly comprises multiple lifting frames arranged vertically and a lifting mechanism. The telescopic end of the lifting mechanism is fixedly connected to the lowermost lifting frame. One side of the lifting frame is slidingly connected to the inner wall of the underground space and features a recess for placing the pipe. A pipe holder inside the recess secures the pipe. During vibrations, the lifting frame slides on the inner wall, causing relative movement between adjacent pipe holders. The vibration is absorbed by the telescopic spring, preventing hard contact between the pipe and the vibration source. This reduces vibration and protects the pipe, thereby enhancing the aseismic capacity of the underground pipe rack.

Abstract: A transaction processing method includes: determining a first moment from a query time period of a target transaction, the first moment being a moment at which a most recent dumping of historical-state data is completed, and the historical-state data meeting a data query condition of the target transaction; obtaining a full analysis result of the historical-state data by processing the historical-state data based on analysis semantic of the target transaction; obtaining an incremental analysis result based on a specific change that occurs on current-state data corresponding to the historical-state data, the specific change occurring between the first moment and an end moment of the query time period, and the incremental analysis result being obtained by processing, based on the analysis semantic, data obtained by the specific change; and obtaining a final analysis result of the target transaction based on the full analysis result and the incremental analysis result.

Abstract: The disclosure provides a security analysis method and system based on protocol state, which relates to the technical field of protocol security protection. The method includes the following: a node traversal table is built, the node traversal table is scanned and analyzed according to the protocol trigger sequence rule, a first security evaluation factor of a protocol stack is determined, and a second security evaluation factor of each protocol is determined based on protocol normal application rule, and the trustworthiness degree of the second security factor is determined based on the first security factor, and the second security factor is revised based on the trustworthiness degree, and the security state of the protocol is determined according to the revised second security factor, thus the analysis of the protocol state is realized, and the security of the protocol can be accurately determined.

Abstract: The present invention provides a novel groove cutter with chip breaker, including: a cutter body; a cutter head arranged at the end part of the cutter body, a cutting edge being arranged at a bordering position of the cutter head; and a chip breaker arranged on the cutter head, wherein the chip breaker comprises a breaker bottom and a breaker wall, the breaker bottom being connected to the cutting edge, the breaker wall being arranged on one side of the breaker bottom away from the cutting edge, the breaker bottom being non-coplanar with the breaker wall, an intersecting line of the breaker bottom and the breaker wall including multiple connecting sections, and one curved transition section being arranged between two adjacent connecting sections. By means of the technical solutions provided in the present application, the problem that breaking chips in a groove machining process is difficult in the prior art can be solved.

Abstract: The disclosure provides a security analysis method and system based on protocol state, which relates to the technical field of protocol security protection. The method includes the following: a node traversal table is built, the node traversal table is scanned and analyzed according to the protocol trigger sequence rule, a first security evaluation factor of a protocol stack is determined, and a second security evaluation factor of each protocol is determined based on protocol normal application rule, and the trustworthiness degree of the second security factor is determined based on the first security factor, and the second security factor is revised based on the trustworthiness degree, and the security state of the protocol is determined according to the revised second security factor, thus the analysis of the protocol state is realized, and the security of the protocol can be accurately determined.

Abstract: The invention discloses an enhanced anti-seismic structure suitable for urban underground comprehensive pipe galleries. Comprising a polygonal frame with an outer frame and an inner frame arranged inside it. Vertex of the inner frame is connected to the bending position inside the outer frame via a support rod. Outer frame has installation grooves for pipe installation, corresponding one-to-one with its sides. The outer frame, located outside the installation groove, can be disassembled to install a limit frame. A limit mechanism for fixing the pipe is installed on the limit frame. The outer frame, positioned outside the installation slot, can be disassembled to install a limit frame. Screwing in a screw drives a lifting block to compress a spring, causing a top block to press against the pipe surface and secure it. The polygonal frame allows for multiple pipes to be installed simultaneously, enhancing overall stability through the support rod connections.

Abstract: A system for pumping lubricant in a gas transportation pipeline includes a pipeline robot and a control terminal system. The pipeline robot includes a lubricant position detection, module, a lubricant pumping module, an electro-hydraulic control system, a data acquisition and processing system, and a lubricant sucking port. The location at which the lubricant deposits can be detected online, and the lubricant staving in the gas transportation pipeline can be removed in real time. The system is highly automatic and efficient. Resistance against the natural as transportation is reduced effectively, the efficiency of transporting the natural gas is improved, and safety of transporting the natural gas is ensured.

Abstract: Neural network based systems, methods, and instrumentalities may be used to remove motion artifacts from magnetic resonance (MR) images. Such a neural network based system may be trained to perform the motion artifact removal tasks without reference (e.g., without using paired motion-contaminated and motion-free MR images). Various training techniques are described herein including one that feeds the neural network with pairs of MR images with different levels of motion contamination and forces the neural network learn to correct the motion contamination by transforming a first image of a contaminated pair into a second image of the contaminated pair. Other neural network training techniques are also described with an aim to reduce the reliance on training data that is difficult to obtain.

Abstract: A wiper insert and a tool with the same. The wiper insert includes a tool body, and the tool body includes a cutting part which is used to cut a workpiece. The cutting part includes a plurality of wipers. Adjacent wipers are connected by a transition surface, and the minor cutting edge angles of the plurality of wipers are set differently. With the technical solution of the present application, the problem in the prior art that the wiper inserts lose their wiping effects when they are mounted on different tool holders is solved effectively.

Abstract: The present disclosure provides wearable underpants used for a wearable flushing device. The wearable underpants include: a diaper pad; a waist belt combined with a buttock pad area of the diaper pad; and an abdomen sheet combined with a crotch pad area of the diaper pad. The diaper pad covers the buttocks and the crotch of a human body, the abdomen sheet covers the abdomen of the body, and the waist belt is fixed to the abdomen sheet in a covering manner so that the diaper pad closely fits and covers the buttocks and the crotch of the body when the wearable underpants are worn. The diaper pad has a recessed area corresponding to the orifices of the body, and the recessed area has a discharge opening, wherein the surface of the recessed area has a waterproof surface layer.

Abstract: A display may have a pixel array such as a liquid crystal pixel array. The pixel array may be illuminated by a backlight unit that includes an array of light-emitting diodes (LEDs). The backlight unit may determine the type of content in the image data. The backlight unit may decide to prioritize either mitigating halo or mitigating clipping based on the type of content. The determination of the type of content in the image data may be used to determine the brightness values for the LEDs in the LED array. If the content is determined to be a first type of content, at least one given LED in the LED array may have a different brightness value than if the content is determined to be a second, different type of content. Classifying content in the image data may be useful in optimizing visible artifacts such as visible halo and clipping.

Abstract: Motion contaminated magnetic resonance (MR) images for training an artificial neural network to remove motion artifacts from the MR images are difficult to obtain. Described herein are systems, methods, and instrumentalities for injecting motion artifacts into clean MR images and using the artificially contaminated images for machine learning and neural network training. The motion contaminated MR images may be created based on clean source MR images that are associated with multiple physiological cycles of a scanned object, and by deriving MR data segments for the multiple physiological cycles based on the source MR images. The MR data segments thus derived may be combined to obtain a simulated MR data set, from which one or more target MR images may be generated to exhibit a motion artifact. The motion artifact may be created by manipulating the source MR images and/or controlling the manner in which the MR data set or the target MR images are generated.

Abstract: A transaction processing method includes: determining a first moment from a query time period of a target transaction, the first moment being a moment at which a most recent dumping of historical-state data is completed, and the historical-state data meeting a data query condition of the target transaction; obtaining a full analysis result of the historical-state data by processing the historical-state data based on analysis semantic of the target transaction; obtaining an incremental analysis result based on a specific change that occurs on current-state data corresponding to the historical-state data, the specific change occurring between the first moment and an end moment of the query time period, and the incremental analysis result being obtained by processing, based on the analysis semantic, data obtained by the specific change; and obtaining a final analysis result of the target transaction based on the full analysis result and the incremental analysis result.

Abstract: Provided is a conformation-specific antigen binding domain (ABD) specific for the Hedgehog receptor Patched1, which may be provided in the form of a nanobody. This nanobody potently activates the Hedgehog pathway in vitro and in vivo by stabilizing an alternative conformation of a Patched1 “switch helix”. This ABD or nanobody is water soluble, i.e. does not require lipid modifications for its activity, facilitating mechanistic studies of Hedgehog pathway activation and therapeutic use.

Abstract: Neural network based systems, methods, and instrumentalities may be used to remove motion artifacts from magnetic resonance (MR) images. Such a neural network based system may be trained to perform the motion artifact removal tasks without reference (e.g., without using paired motion-contaminated and motion-free MR images). Various training techniques are described herein including one that feeds the neural network with pairs of MR images with different levels of motion contamination and forces the neural network learn to correct the motion contamination by transforming a first image of a contaminated pair into a second image of the contaminated pair. Other neural network training techniques are also described with an aim to reduce the reliance on training data that is difficult to obtain.