Abstract: The disclosure provides a method for assembling and interconnecting FBAR filter and an electronic device. The method includes constructing an equivalent circuit model of an assembled FBAR filter according to a circuit model of a filter chip and the grounding circuit of the FBAR filter; modeling, simulating and calculating the grounding circuit to extract parasitic parameters corresponding to the grounding pad and a grounding bond-wire of the grounding circuit, respectively; feedbacking the parasitic parameters back into the equivalent circuit model, and using the circuit simulation software to obtain an S parameter of the filter; adjusting the parasitic parameters of the grounding circuit to optimize an S parameter performance of the FBAR filter: obtaining an optimal assembly configuration of the FBAR filter to guide the assembly. The parasitic parameters include a parasitic inductance of the grounding bond-wire and a parasitic capacitance and parasitic inductance of the grounding pad.

Abstract: This disclosure provides a fiber filling nonwoven, consisting essentially of at least one fiber web and first fiber balls. Parts of the first fiber balls are directly fixed on the at least one fiber web, and another parts of the first fiber balls are indirectly fixed on the at least one fiber through being fixed on the parts of the first fiber balls. The first fiber ball includes first hollow polyester fibers having a first crimp number and second hollow polyester fibers having a second crimp number, and the first polyester hollow fibers and the second polyester hollow fibers are inelastic hollow polyester fibers with an elastic elongation rate equal to less than 50%. A difference of the first and the second crimp number is in a range from 4 to 10. A compression resilience ratio of the fiber filling nonwoven is equal to or greater than 80%.

Abstract: A method for constructing a structural semantic map under an underground weak-light and low-texture environment is provided. The method includes: fusing traditional methods with a parameter line detection and verification model of structural semantics of a Transformer; and establishing a geometric primitive half-plane search method guided by the direction of structural information. The method also includes establishing a neighborhood greedy expansion algorithm based on a geometric primitive model; and optimizing geometric primitive poses and boundaries one by one. The method further includes fusing a point cloud map with structural information, and establishing a semantic map with geometric structure primitives.

Abstract: A method of identifying entities from different data sources as matching entity pairs that refer to a same real-world object is provided. A set of labelling functions are provided to determine matching entities and non-matching entities of a source data set and a least one target data set. A subset of labelling functions are selected from the provided set of labelling functions for training machine learning models for a blocking module that aims at filtering out as many unmatched entity pairs as possible without missing any true matches and for a matching module that aims at predicting matching results for remaining entity pairs not filtered out by the blocking module. Both a blocking model for the blocking module and a matching model are jointly learned for the matching module based on available unlabeled entity pairs and the labelling functions of the selected subset of labelling functions.

Abstract: A vehicle includes one or more sensors configured to obtain raw data related to a scene, one or more processors, and machine readable instructions stored in one or more memory modules. The one machine readable instructions, when executed by the one or more processors, cause the vehicle to: process the raw data with a first neural network stored in the one or more memory modules to obtain a first prediction about the scene, transmit the raw data to a computing device external to the vehicle, receive a second prediction about the scene from the computing device in response to transmitting the raw data to the computing device, and determine an updated prediction about the scene based on a combination of the first prediction and the second prediction.

Abstract: The present disclosure provides a phage for lysing Burkholderia gladioli and use thereof, and belongs to the technical field of phages. The phage for lysing Burkholderia gladioli provided by the present disclosure is Burkholderia gladioli phage vB_BglM_WTB with an accession number of CCTCC M 2023525, which is a novel phage. The phage provided by the present disclosure has a strong lytic effect on the Burkholderia gladioli with higher temperature tolerance and wider acid-base tolerance range and effectively kills the Burkholderia gladioli on food surface, providing a new strategy for controlling the Burkholderia gladioli in food processing and environment.

Abstract: The disclosure includes embodiments for modifying a vehicle-to-everything (V2X) radio of an ego vehicle that is a connected vehicle. In some embodiments, a method includes analyzing, by a machine learning module executed by a processor, a local dynamic map generated by the ego vehicle to determine schedule data describing a schedule for the ego vehicle to transmit a millimeter wave (mmWave) message to a remote vehicle. The method includes transmitting a V2X message including the schedule data for receipt by the remote vehicle so that the remote vehicle has access to the schedule. The method includes modifying an operation of the V2X radio of the ego vehicle based on the schedule so that the V2X radio transmits the mmWave message to the remote vehicle in compliance with the schedule. The method includes transmitting the mmWave message to the remote vehicle in compliance with the schedule.

Abstract: Disclosed are a filter element for liquid filtration and a filter. The filter element includes a ring filter medium, first and second end caps connected to the ring filter medium, and a ventilation assembly, where the ring filter medium has a central cavity formed around a central axis thereof; the ventilation assembly is disposed in the central cavity; and an intercepting ring groove is formed at a ring seal. In this technical solution, a sealing O-ring at a sealing part of the filter element and the housing assembly is replaced with the ring seal with a self-sealing function, which has a better sealing effect under an oil pressure and can reduce a compression amount; and while oil dirt is intercepted, the disassembly of the filter element is not affected, and especially under effective exhaust of the ventilation assembly, the disassembly is more labor-saving.

Abstract: The method includes: obtaining point cloud information collected by a depth camera, laser information collected by a lidar, and motion information of an unmanned aerial vehicle (UAV); generating a raster map based on the laser information, and obtaining pose information of the UAV based on the motion information; obtaining a map model through fusing the point cloud information, the raster map, and the pose information by a Bayesian fusion method; and correcting a latest map model by feature matching based on a previous map model.

Abstract: A method for ontology matching between a source and a target filters out non-matching pairs of the source and the target, to generate a dataset of possible matches. In a first loop, based on prediction results and uncertainty from a set of labeling functions of a labeling function (LF) committee, a data point is selected from the dataset and an annotation label is obtained for the data point. Additionally, labeling functions of the LF committee are selected and weighted based on prediction results against the dataset provided with annotation labels, and a weight of each of the selected LFs is adjusted to produce the prediction results and uncertainty of yet unlabeled data points of the dataset based on the data points of the dataset having already annotated a label. A second learning loop is executed that creates tuned labeling functions and augments the LF committee with the tuned labeling functions.

Abstract: A computer-implemented method of enforcing secondary data usage control includes providing, via a policy manager, secondary data usage policies of a data owner of original data. The method provides, via a service orchestrator, a description of a service intended to be applied by a data consumer to input data contained in the original data, the service including one or more data processing functions. The method matches, by a secondary usage control policy enforcement point (SUC PEP) component, the secondary data usage policies provided via the policy manager with the input data or specific classes of the input data and/or with data processing functions of the service provided via the service orchestrator. The method applies, by the SUC PEP component, the matched secondary usage policies on the secondary data.

Abstract: Provided is an electrophoretic coating solution, comprising 100 parts by weight of microcapsules modified with an olefinic aldehyde compound; 1 to 20 parts by weight of a resin monomer and/or an unsaturated resin; and 50 to 100 parts by weight of a solvent. Also provided are an electrophoretic display panel and a display device. In this solution, the electrophoretic coating solution has good dispersibility, and the yield of the electrophoretic display panel is improved.

Abstract: A method for using knowledge infusion for robust and transferable machine learning models includes receiving a plurality of adaptive and programmable knowledge functions comprising a plurality of strong functions and a plurality of weak functions. A knowledge model is generated based on the plurality of strong functions and the plurality of weak functions. A machine learning model is trained based on the generated knowledge model.

Abstract: The present disclosure provides a multi-view collaborative tracking method and apparatus for a fast moving target under a low luminance condition, including a multi-view target tracking algorithm based on radar-vision fusion data and an unmanned aerial vehicle (UAV) cluster collaborative tracking technology. This method takes the spatiotemporal normalized multi-source data as the learning objective of multi-agent reinforcement learning, to drive the cluster to collect data from multiple angles and directions. In this way, highly-efficient multi-angle collaborative observation can be performed on a high-speed moving object in an environment of weak texture and low luminance.

Abstract: A micro light-emitting diode display device includes a substrate, a first planarization layer, a first light-emitting element, and a second planarization layer. The first planarization layer is disposed on the substrate and has a first opening. The first opening has a first opening inner wall. The first light-emitting element is disposed on the substrate, in the first opening, and separated from the first opening inner wall. The second planarization layer is disposed on the substrate and between the first planarization layer and the first light-emitting element. The second planarization layer is in contact with the first light-emitting element.

Abstract: A battery positive electrode material includes a core and a first shell layer arranged on a surface of the core. The core includes LiMnxFe1-xPO4. The first shell layer includes LiMnyFe1-yPO4, where 0<x?0.4, and 0.6?y?0.9. The battery positive electrode material has a multi-layer distribution structure. A preparation method and use of the battery positive electrode material are further provided.

Abstract: A battery positive electrode material including lithium ferromanganese phosphate particles and active particles dispersed in voids between the lithium ferromanganese phosphate particles. The active particles include one or more of lithium nickel cobalt manganate particles, lithium nickel cobalt aluminate particles, lithium-rich manganese-based material particles, lithium cobaltate particles, spinel lithium manganate LiMn2O4 particles and layered lithium manganate LiMnO2 particles. The ratio of the median particle diameter of lithium ferromanganese phosphate to that of the active particles is between 3 and 8. In the battery positive electrode material, the content of percentage by weight of the lithium ferromanganese phosphate is between 70% and 90%, and the content of percentage by weight of the active particles is between 10% and 30%.

Abstract: A micro light-emitting diode display device includes a substrate, a first planarization layer, a first light-emitting element, and a second planarization layer. The first planarization layer is disposed on the substrate and has a first opening. The first opening has a first opening inner wall. The first light-emitting element is disposed on the substrate, in the first opening, and separated from the first opening inner wall. The second planarization layer is disposed on the substrate and between the first planarization layer and the first light-emitting element. The second planarization layer is in contact with the first light-emitting element.

Abstract: Techniques for determining whether audio is machine-outputted or non-machine-outputted are described. A device may receive audio, may process the audio to determine audio data including audio features corresponding to the audio, and may process the audio data to determine audio embedding data. The device may process the audio embedding data to determine whether the audio is machine-outputted or non-machine-outputted. In response to determining that the audio is machine-outputted, then the audio may be discarded or not processed further. Alternatively, in response to determining that the audio is non-machine-outputted (e.g., live speech from a user), then the audio may be processed further (e.g., using ASR processing).