Abstract: A multi-element filtration vessel included spaced beams for supporting and/or aligning filtration elements from below. The filtration elements have bottom ends adapted to rest upon adjacent support beams and also to extend between them to form a cavity that can capture feed fluid and an aeration gas and conduct it into the filtration element. In another aspect, a multi-element filtration vessel has removable aerators mounted on a projection on the wall of the filtration vessel.

Abstract: Disclosed herein is a system and method for implementing a personalized ultrasound neuromodulation system and methods with neural sensing of personalized electrophysiological data, guiding ultrasound targeting and dosage using such personalized data. Specific ultrasound transducer solutions are provided for various neural targets that enable the low-intensity focused ultrasound to modulate the central nervous system and peripheral nervous systems to treat a variety of neurological and mental disorders. A portable ultrasound console device, a wearable guiding apparatus and a compact solution for effectively and safely enabling point-of-care neuromodulation, e.g., home healthcare, are provided. Further methods for ultrasound waveform customization are also described to improve effectiveness of ultrasound neuromodulation.

Abstract: This disclosure provides a method for ping pong roaming control performed by an access point (AP), a method for ping pong roaming control performed by a controller, an AP, a controller, a non-transitory computer readable storage medium and a computer program product for processing/identifying ping pong roaming. The method for ping pong roaming control, performed by an AP includes: determining association switching behaviors of a station (STA) based on association and/or disassociation behaviors of the STA; identifying one or more connection instability events of the STA based on the association switching behaviors of the STA; and reporting at least one of the one or more connection instability events of the STA to a controller for the controller to identify a ping pong roaming event of the STA between multiple APs.

Abstract: Block data load with transpose techniques are described. In one example, an input is received, at a control unit, specifying an instruction to load a block of data to at least one memory module using a transpose operation. Responsive to the receiving the input by the control unit, the block of data is caused to be loaded to the at least one memory module by transposing the block of data to form a transposed block of data and storing the transposed block of data in the at least one memory.

Abstract: Systems are provided for a split differential housing. The split differential housing is bisected at an axis on a vertical plane. The split differential housing comprises a first housing member coupled to a second housing member at an interface centered on the vertical plane, wherein the axis is coaxial with a central axis of a drive axle.

Abstract: An apparatus comprises at least one processing device configured to establish, utilizing a communication network, a remote collaboration session between first and second computing devices associated with first and second users, and to determine data to be exchanged between the first and second computing devices as part of the remote collaboration session. The first and second computing devices each comprise at least one of an augmented reality and a virtual reality computing device. The processing device is also configured to generate different logical network slices of the communication network, each logical network slice having a set of network characteristics associated with at least one type of the data to be exchanged between the first and second computing devices as part of the remote collaboration session. The processing device is further configured to communicate the different types of data between the first and second computing devices utilizing the logical network slices.

Abstract: A parallel processing unit employs an arithmetic logic unit (ALU) having a relatively small footprint, thereby reducing the overall power consumption and circuit area of the processing unit. To support the smaller footprint, the ALU includes multiple stages to execute operations corresponding to a received instruction. The ALU executes at least one operation at a precision indicated by the received instruction, and then reduces the resulting data of the at least one operation to a smaller size before providing the results to another stage of the ALU to continue execution of the instruction.

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: Embodiments disclosed herein relate to a method, a device, and a computer program product for training an image classification model. The method includes: determining a first classification result obtained by the image classification model on pixel points of a sample image in a first training iteration, wherein the first classification result indicates that each of the pixel points belongs to one of a plurality of object classes; determining a second classification result obtained by the image classification model on the pixel points of the sample image in a second training iteration; determining, based on the first classification result and the second classification result, a first set of recall rates and a second set of recall rates for the plurality of object classes; and adjusting, based on the first set of recall rates and the second set of recall rates, the image classification model to obtain a trained image classification model.

Abstract: Provided are a compound tulathromycin nanoemulsion, and a preparation method and use thereof, which belong to the technical field of nanoemulsions. The compound tulathromycin nanoemulsion includes, in percentages by mass: 0.01% to 10.0% of tulathromycin, 0.01% to 1.0% of kalii dehydrographolidi succinas, 1.0% to 5.0% of ethyl acetate, 0.5% to 3.5% of ethyl butyrate, 0.5% to 2.5% of tributyl citrate, 1.0% to 5.0% of ethanol, 10.0% to 15.0% of polyethylene glycol sorbitan monostearate, 6.0% to 12.0% of octylphenol polyoxyethylene(10) ether, and water as balance.

Abstract: The present disclosure relates to an auxiliary device and auxiliary method for epidural anesthesia needle placement, the auxiliary device comprising: a needle placement unit (1), a motion guide unit (2) for driving the needle placement unit into movement, and a control unit (3) for supporting and controlling the motion guide unit (2), the needle placement unit (1) being electrically connected to the control unit (3); the needle placement unit (1) comprises: a first support (11) connected to the motion guide unit (2), a second support (12) slidably connected with the first support (11), a needle placement assembly (13) slidably connected with the second support (12), and a first drive (14) arranged on the first support (11) for driving the second support (12) into motion. The scheme of the present disclosure may perform a real-time multidimensional monitoring to the puncture process, achieving autonomous, precise, safe needle placement and puncture operations.

Abstract: The present disclosure discloses a method for adjusting antenna state of a wireless AP, an smart antenna scheduling method and a wireless AP, wherein the method includes: acquiring a performance index of an antenna of a wireless AP in a current antenna state, wherein the performance index is a weighted average of negotiated rates of a plurality of clients communicably connected with the wireless AP; and adjusting the antenna state of the antenna based on the performance index of the antenna of the wireless AP in the current antenna state.

Abstract: A computer system and associated processes for grouping similar real estate properties into contiguous neighborhoods and generating neighborhood-specific models capable of estimating property values within their neighborhoods. An artificial intelligence system directed to using a graph neural network framework to identify relationships between different parcel groups based on similar property features and embed the parcel groups into low dimensional space vectors. The method can include generating a graph and features relevant to the parcel groups that can train an embedding function that generate an embedding vector for each parcel group in a geographic unit grouping, such as a census tract. Embedding vectors of two or more parcel groups can then be compared to each other to determine whether the parcel groups are similar or to determine a housing valuation of a parcel group.

Abstract: A data processing method includes processing target data through a target neural network to obtain a data processing result, where a target header of the target neural network is used to process, through a first transformation matrix, a first vector corresponding to first subdata, and process, through a second transformation matrix, a second vector corresponding to the first subdata, where the first vector corresponds to position information of the first subdata in the target data, and the second vector corresponds to semantic information of the first subdata.

Abstract: Disclosed herein is a novel deep learning-based source imaging framework for imaging ictal oscillations from high-density electrophysiological recordings in drug-resistant focal epilepsy patients. A neural mass model producing ictal oscillations was used to generate synthetic training data having spatio-temporal-spectra features indicative of ictal oscillations. The synthetic training data was then used to train the deep learning-based source imaging framework to image and localize brain source patches exhibiting ictal oscillations, based on an input of EEG data.

Abstract: An apparatus comprises a processing device configured to generate a link-local network address for a given network node in a device-to-device communication network based on a unique identifier associated with the given network node. The processing device is also configured to determine at least one measure of radio access network signal strength for the given network node for at least one corresponding radio access network, and to assign one of a first and a second communication role in the device-to-device communication network to the given network node based at least in part on whether the at least one measure of the radio access network signal strength is above or below a designated threshold. The processing device is further configured to exchange data traffic between the given network node and the external data network based on which of the first and second communication roles is assigned to the given network node.

Abstract: A drying apparatus is based on supercritical fluid. The drying apparatus includes: an upper cover; a base, arranged below the upper cover and the base and the upper cover; a substrate tray, arranged on the base; a first fluid supply tube, arranged on the top wall of the upper cover; a fluid disturbance plate, arranged below the first fluid supply tube; a second fluid supply tube, arranged on a first side wall of the upper cover; and a fluid discharge tube, arranged on a second side wall of the upper cover. The inner space of the closed chamber can be minimized by using the drying apparatus, thereby saving the usage amount of the supercritical fluid, and reducing the usage costs.