Abstract: Disclosed in the present invention are a laser chip and a preparation method therefor.

Abstract: A memory management method and system for an Android system, and a storage medium. The Android system includes a framework layer, a native layer and a kernel layer; the memory management system includes a service component on the framework layer, a memory manager on the native layer and an interface reclaimer on the kernel layer; the service component communicates with the memory manager and the interface reclaimer, respectively; the memory manager is configured to determine a memory event based on pressure stall information (PSI) obtained from a hook on a memory reclaim path, and report the memory event to the service component; and the service component is configured to call the interface reclaimer in response to the memory event being an event of reclaiming memory based on a process, and shut down a corresponding process interface by the interface reclaimer.

Abstract: A server may obtain teacher artificial intelligence (AI) models from source base stations; obtain target traffic data from a target base station; obtain an integrated teacher prediction based on the target traffic data by integrating teacher prediction results of the teacher AI models based on teacher importance weights; obtain a student AI model that is trained to converge a student loss on the target traffic data; update the teacher importance weights to converge a teacher loss between a student prediction of the student AI model on the target traffic data, and the integrated teacher prediction of the teacher AI models on the target traffic data; update the student AI model based on the updated teacher importance weights being applied to the teacher prediction results of the teacher AI models; and predict a communication traffic load of the target base station using the updated student AI model.

Abstract: The present disclosure provides methods, apparatuses, and computer-readable mediums for performing ultra-wideband (UWB) remote control. In some embodiments, the method includes broadcasting an initial control request. The method further includes receiving, from one or more remote devices, at least one reply message comprising identification information and power spectrum information. The method further includes estimating, for each of the one or more remote devices, an angle indicating a pointing direction to that remote device relative to the remote control device. The method further includes determining a selected remote device that is being pointed at by the remote control device. The method further includes sending, to the one or more remote devices, a control signal comprising the identification information of the selected remote device and a control message indicating an action to be performed by the selected remote device.

Abstract: A cylindrical battery suitable for high-speed production includes a case assembly, the case assembly comprises a case; the case is a U-shaped structure; a jelly roll member is provided in the case; two ends of the jelly roll member are respectively provided with tabs; the tab at one end of the jelly roll member is welded with a first current collector; the tab at the other end of the jelly roll member is welded with a second current collector; the first current collector is closely attached to a bottom end of the U-shaped structure of the case; the second current collector is provided at an opening of the U-shaped structure of the case; a side of the second current collector away from the jelly roll member is provided with a cover plate; and the second current collector, the case and the cover plate are welded to form an integrated structure.

Abstract: A server may obtain teacher artificial intelligence (AI) models from source base stations; obtain target traffic data from a target base station; obtain an integrated teacher prediction based on the target traffic data by integrating teacher prediction results of the teacher AI models based on teacher importance weights; obtain a student AI model that is trained to converge a student loss on the target traffic data; update the teacher importance weights to converge a teacher loss between a student prediction of the student AI model on the target traffic data, and the integrated teacher prediction of the teacher AI models on the target traffic data; update the student AI model based on the updated teacher importance weights being applied to the teacher prediction results of the teacher AI models; and predict a communication traffic load of the target base station using the updated student AI model.

Abstract: A cylindrical battery includes a case assembly, a polar pillar is provided under a case of the case assembly; a second current collector, a jelly roll, a first current collector, and a cover plate are provided sequentially in the case from bottom to top; tabs at two ends of the jelly roll are fixedly connected to the first current collector and the second current collector, respectively; the second current collector and the case are insulated by an insulating element; a protrusion is formed in a circumferential direction of the insulating element; a height of the protrusion is identical to a height of the polar pillar; the cover plate is fixedly provided on the first current collector; the cover plate and the case are sealed by a sealing ring; when a liquid injection hole is formed in the cover plate or in the polar pillar.

Abstract: A server may be provided to obtain a load balancing artificial intelligence (AI) model for a plurality of base stations in a communication system. The server may obtain teacher models based on traffic data sets collected from the base stations, respectively; perform a policy rehearsal process including obtaining student models based on knowledge distillation from the teacher models, obtaining an ensemble student model by ensembling the student models, and obtaining a policy model by interacting with the ensemble student mode; provide the policy model to each of the base stations for a policy evaluation of the policy model; and based on a training continue signal being received from at least one of the base stations as a result of the policy evaluation, update the ensemble student model and the policy model by performing the policy rehearsal process on the student models.

Abstract: Provided are a phospho-alumino-silicate inorganic polymer, and a preparation method and use thereof. The phospho-alumino-silicate inorganic polymer includes the following raw materials in parts by weight: 50 parts to 67 parts of a precursor raw material, 33 parts to 50 parts of an activator, and water; where the precursor raw material includes metakaolin and activated calcium oxide; the activated calcium oxide accounts for 3% to 15% of a weight of the precursor raw material; and the activator includes a phosphoric acid solution.

Abstract: Provided is a method and a medicament for treating amyotrophic lateral sclerosis (ALS) in a subject in need thereof, comprising administering to the subject an effective amount of one or more active agents selected from the group consisting of a retinoic acid receptor alpha (RAR?) agonist, a voltage-gated potassium channel (KCNB2) inhibitor, an adrenergic receptor ?2B (ADRA2B) antagonist, a DNA methyltransferase 3 alpha (DNMT3A) antagonist, an insulin like growth factor 1 receptor (IGF1R) inhibitor, a mitogen-activated protein kinase 1 (MAPK1) inhibitor, a nitric oxide synthase 1 (NOS1) inhibitor, a glucocorticoid receptors (NR3C1) antagonist, and a peptidylprolyl Isomerase A (PPIA) antagonist.

Abstract: A server may be provided to obtain a load balancing artificial intelligence (AI) model for a plurality of base stations in a communication system. The server may obtain teacher models based on traffic data sets collected from the base stations, respectively; perform a policy rehearsal process including obtaining student models based on knowledge distillation from the teacher models, obtaining an ensemble student model by ensembling the student models, and obtaining a policy model by interacting with the ensemble student mode; provide the policy model to each of the base stations for a policy evaluation of the policy model; and based on a training continue signal being received from at least one of the base stations as a result of the policy evaluation, update the ensemble student model and the policy model by performing the policy rehearsal process on the student models.

Abstract: An automatic scanning system for tunnel walls constructed by open-type TBM, to realize the automatic, accurate, rapid and omnidirectional scanning of tunnel wall. The system comprises a three-dimensional laser scanner, a walking unit, a circumferential track, several connecting rods and a remote-control unit; wherein the three-dimensional laser scanner is fixed on the walking unit. The walking unit is provided on the circumferential track and configured to walk on the circumferential track at a set speed and a set number of walking cycles according to a control instruction. The circumferential track is fixed on the main beam of open-type TBM through the connecting rods and located between the roof bolter and cylinder of gripper shoe. The remote-control unit is configured to issue the control instruction and control the three-dimensional laser scanner to scan the tunnel wall and transmit the scanning data using set scanning parameters.

Abstract: A server for predicting a future traffic load of a base station is provided. The server may obtain a first prediction model based on traffic data collected from the base station for a first period of time, obtain a second prediction model based on traffic data collected from the same base station for a second period time, and also based on knowledge transferred from the first prediction model. Each of the first prediction model and the second prediction model may include an encoder module, a reconstruction module, and a prediction module which are connected to form two paths, an encoder-reconstruction path and an encoder-prediction path, to preserve more information of historic traffic data.

Abstract: A cylindrical battery includes a case with an opening defined in an end thereof, and a conductive adhesive, a roll core, a current collector, an insulating element, and a cap sequentially disposed inside the case from bottom to top; the insulating element is sleeved on the current collector; the current collector is of a multi-petal structure, and is provided with a positioning structure respectively connected to the roll core and the cap; after being limited, petal elements of the current collector are welded with the roll core; a conductive handle of the current collector is welded with the cap; a roll groove is defined on an outside of the case; the roll groove is positioned outside a current collector body; and a bottom of the roll core is fixedly connected to the case through the conductive adhesive.

Abstract: A cylindrical battery includes a case, and a conductive elastomer, a roll core, a current collector, an insulating element, a cap assembly, and a liquid injection sealing pin sequentially arranged inside the case from bottom to top; a lower portion of the roll core is fixedly connected to the case via the conductive elastomer, an upper portion of the roll core is welded with the current collector, an upper portion of the current collector passes through the insulating element and is welded with the cap assembly, the insulating element is configured to prevent the cap assembly and the roll core from being short-circuited, and an upper portion of the cap assembly is sealed via the liquid injection sealing pin; and a necking and a flange are defined on an outside of the case, a conductive adhesive layer is arranged on an outside of the flange.

Abstract: A method and apparatus are provided for effecting an RFID-based finger input sensing system using a transmission line connected to at least two RFID tags, by analyzing a plurality of features relating to the number of spikes in the derivatives of the RSS, timing of maximum RSS and the spikes of the RSS derivatives, relative RSS magnitude between the at least two RFID tags, and increase/decrease trend of the RSS, thereby eliminating the need for calibration and training.

Abstract: The present disclosure provides a filtration assembly and an atomizer. The filtration assembly is applied to the atomizer. The atomizer includes a housing having a gas outlet section and an atomization cavity in communication with the gas outlet section. The filtration assembly includes a filtration mesh and a flow guide rod. The filtration mesh is disposed at the gas outlet section and includes a first end away from the atomization cavity and a second end close to the atomization cavity. A shape and size of the first end match a shape and size of the gas outlet section to enable the gas outlet section to be covered. The size of the first end is greater than the size of the second end. The flow guide rod is connected to the second end and the atomization cavity.

Abstract: A bit index explicit replication (BIER) operations, administration, and maintenance (OAM) detection method includes a bit forwarding ingress router (BFIR) obtaining a detection request packet based on a first BIER OAM packet, and sending the detection request packet to at least one bit forwarding egress router BFER. The detection request packet includes a first packet and a first packet header. The first packet is a packet obtained by encapsulating the first BIER OAM packet. The first packet header includes a bit string, and the bit string indicates the at least one bit forwarding egress router BFER that is to be measured.

Abstract: A distributed storage system includes table controllers collectively storing partitions of a logical table having multiple rows. For each of the partitions, a corresponding table controller stores a subset of the rows of the logical table across individual pages. A management controller updates a schema of the logical table from a first to a second schema definition by, for each of the partitions, sending an update command indicating the second schema definition to the corresponding table controller. The first table controller corresponds to a first partition that includes a first subset of the rows. The first table controller, prior to receiving the update command, includes an identifier of the first schema definition within each page of data for the first subset. Subsequent to receiving the update command, the first table controller, when writing each new page of data for the first subset, includes an identifier of the second schema definition.

Abstract: Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.