Abstract: Disclosed herein, among other things, are apparatus and methods for neural network-driven feedback cancellation for hearing assistance devices. Various embodiments include a method of signal processing an input signal in a hearing assistance device to mitigate entrainment, the hearing assistance device including a receiver and a microphone. The method includes performing neural network processing to identify acoustic features in a plurality of audio signals and predict target outputs for the plurality of audio signals, and using the trained neural network to control acoustic feedback cancellation of the input signal.

Abstract: Disclosed in the present invention are a perinaphthenone compound and the use thereof. The compound can bind to E3 ubiquitin ligase tripartite motif 25 (TRIM25), thereby facilitating the recognition of TRIM25 to a pathogen and inducing proteasome-dependent ubiquitination degradation of the pathogen protein. The compound is expected to be used as a ligand for TRIM25 and have a broad application, for example, for preparing a PROTAC molecule. Therefore, the compound has good research and development value and application prospects.

Abstract: Systems, apparatuses, and methods for addressing bank hotspotting are described. A computing system includes a memory controller with an arbiter for determining how to arbitrate access to one or more memory device(s) for received requests. The arbiter categorizes each request in a manner that helps to ensure fair virtual channel distribution across the banks of the memory device(s). The category system includes bank hotspotting functions to give banks that have more requests more chances to go over banks with fewer requests. The category system is implemented proportionally with more category credits given to banks with higher bank depths within the virtual channel.

Abstract: A method includes: acquiring a plurality of historical routes of movement of a plurality of historical users in a geographic area, wherein each historical route includes at least a portion of a plurality of locations; determining, based on the plurality of historical routes and a plurality of current positions of a plurality of users in the geographic area, a set of predicted locations among the plurality of locations that the plurality of users will visit in the future, respectively, wherein the plurality of users use a tour guiding service associated with the plurality of locations that is provided by a mobile network; selecting a set of popular locations from the set of predicted locations based on the number of users among the plurality of users who will visit each predicted location in the set of predicted locations; and scheduling tour guiding resources associated with the set of popular locations.

Abstract: An interaction method for a mobile robot comprises: acquiring map data information of a space in which a mobile robot is located, and acquiring real-time environment perception data collected by an environment perception sensor, the real-time environment perception data comprising real-time obstacle information, and real-time indication information for indicating a road condition around the mobile robot; acquiring target traveling path information of the mobile robot on the basis of the real-time obstacle information and the map data information, and determining a ground projection region according to the target traveling path information and the real-time indication information; acquiring a pattern to be projected, and determining a projection parameter corresponding to said pattern, wherein said pattern is used for indicating a traveling intention of the mobile robot; and controlling a projection apparatus according to the projection parameter, so as to project said pattern onto the ground projection region

Abstract: A video coding method is performed by a computing device, and the method includes: dividing a to-be-coded video frame image into a plurality of coding units; and for each coding unit, performing the following operations: determining color composition of the coding unit, the color composition comprising a quantity of colors comprised in the coding unit, further comprising: clustering a color of each pixel in the coding unit, to determine a type of the color comprised in the coding unit; and generating a color index table based on the type of the color comprised in the coding unit, wherein a quantity of color indexes comprised in the color index table corresponds to the quantity of colors; and in response to that the quantity of colors is less than or equal to a preset color quantity threshold, determining a coding mode of the coding unit to be a palette coding mode.

Abstract: A method for preparing a lithium extraction adsorbent and an application of the lithium extraction adsorbent are provided. The method includes: (i) forming a homogeneous casting liquid by stirring a metal-based lithium ion sieve, an organic carrier, and a functional material; (ii) adding the homogeneous casting liquid dropwise to a solidifying liquid to obtain gel particles, wherein the solidifying liquid consists of sodium hydroxide and ethanol; and (iii) washing the gel particles to neutrality with deionized water to obtain washed gel particles, followed by placing the washed gel particles in a glutaraldehyde solution for stirring to crosslink for 0.5 h to 12 h to obtain crosslinked gel particles, freeze-drying the crosslinked gel particles to obtain the lithium extraction adsorbent, wherein a usage condition of the lithium extraction adsorbent includes: before use, activating the lithium extraction adsorbent by placing the lithium extraction adsorbent into an alkali activator for stirring for 0.

Abstract: A system may create a localized machine learning model including one or more customized local parameter values using a global model and variance data. The localized machine learning model may be used by a device or cohort of devices to perform evaluations of data. The localized model may be trained based off a global model that is adjusted and then trained a certain number of steps, where the number of steps is based at least in part on the variance data. The variance data may include variance data from other device cohorts which is received from a remote device, which can also re-train the global model using the variance data and/or the localized machine learning model(s).

Abstract: Disclosed is a nighttime cooperative positioning method based on an unmanned aerial vehicle (UAV) group, falling within the technical field of aircraft navigation and positioning. According to the present disclosure, the cooperative visual positioning and the collision warning for UAVs are realized by means of light colors of the UAVs, respective two-dimensional turntable cameras and a communication topology network, without adding additional equipment and without relying on an external signal source, avoiding external interference. Compared with the positioning method in a conventional manner, in the present disclosure, the system is effectively simplified, and the cooperative positioning among the interiors of a UAV cluster can be realized relatively simply and at a low cost to maintain the formation of the UAV group.

Abstract: An orthopedic implantation operation system includes a power drill mechanism and a linear advancing mechanism. The linear advancing mechanism includes a linear motor; the linear motor is connected with the power drill mechanism to drive the power drill mechanism to make a linear reciprocating motion to realize the advancement motion of the surgical tool. The present invention provides the driving force of the linear reciprocating motion of the power drill mechanism through a linear advancing mechanism, and combines with a power drill mechanism to clamp surgical tools such as a guide pin, reamer, tap and a vertebral pedicle screw, etc. so as to realize the operation of orthopedic implantation. Compared with artificial orthopedic implantation operations, the operation is stable, the impact on the human body is small, and the operation efficiency and accuracy of orthopedic implantation operations are higher, avoiding accidental injuries that may be caused by manual orthopedic implantation.

Abstract: The disclosure relates to a staggered electrode bio-electro-Fenton groundwater circulation well system, including a groundwater circulation well, a water pumping and injecting assembly and an in-well bio-electro-Fenton assembly. The water pumping and injecting assembly is configured to realize water pumping and injection between different screening sections of the groundwater circulation well. The bio-electro-Fenton assembly arranged in a first screening section of the groundwater circulation well includes at least one electrode device. A cathode and an anode of the electrode device form a spatially staggered arrangement according to different distribution areas.

Abstract: Embodiments of the disclosure provide a method, apparatus, electronic device, and storage medium for video image processing. The method includes: determining a target depth view of a plurality of video frames of a target video, and determining a split line depth value of at least one depth split line corresponding to the target video based on the target depth view; for the target depth view, determining a target depth split line corresponding to a current pixel point of a current target depth view, and determining a target pixel value of the current pixel point based on a pixel depth value of the current pixel point and a split line depth value of the target depth split line; and determining a three-dimensional displaying video frame of the plurality of video frames of the target video based on target pixel values of a plurality of pixels in the target depth view.

Abstract: An audio input signal is digitized via circuitry of an ear-wearable device. An adaptive feedback canceller has an adaptive filter producing an output that is inserted into the digitized audio input signal to cancel feedback. A motion detector provides a motion signal indicative of motion of the car-wearable device. A processor is operable to determine a change in a feedback path based on the motion signal. The processor causes the adaptive filter to have faster adaption in response to the change in the feedback path is above a first threshold. The processor also causes the adaptive filter to have slower adaption in response to the change in the feedback path being below a second threshold.

Abstract: Embodiments disclosed herein include a dynamic load simulator. In an embodiment, the dynamic load simulator comprises an impedance load, a reverse match network, and a smart RF controller. In an embodiment, the smart RF controller comprises a dynamic load generator, and a reverse match controller.

Abstract: The present disclosure provides a battery pack including a housing, wherein the housing has a bottom portion, on which are disposed a first length side wall and a second length side wall that extend upward along a length direction of the bottom portion and are oppositely disposed, and a first width side wall and a second width side wall that extend upward along a width direction of the bottom portion and are oppositely disposed; the housing comprises a first step and a second step disposed at two ends of the first length side wall; the housing further comprises a first metal wiring terminal and a second metal wiring terminal, wherein the first metal wiring terminal and the second metal wiring terminal are disposed on the first step and the second step, respectively; a material for bearing the first metal wiring terminal and the second metal wiring terminal is a first plastic material, while other parts of the housing are made of a second plastic material, or most of other parts of the housing are made of the

Abstract: A computing system includes a memory and at least one processor. The memory is configured to store motion data indicative of motion of a hearing instrument. The at least one processor is configured to determine a type of activity performed by a user of the hearing instrument and output data indicating the type of activity performed by the user.

Abstract: Embodiments of the disclosure provide methods and systems for processing a neural network associated with an input matrix having a first number of elements. The method can include: dividing the input matrix into a plurality of vectors, each vector having a second number of elements; grouping the plurality of vectors into a first group of vectors and a second group of vectors; and pruning the first group of vectors and the second group of vectors.

Abstract: A method may include defining a rule identifying an event that triggers a change in a value of a metric. The defining of the rule includes generating a subscription to receive the event from an event stream. Occurrences of the event identified by the rule may be detected based on receiving the event from the event stream. In response to each occurrence of the event, the value of the metric and/or the change in the value of the metric may be evaluated. A notification may be sent to a software application consuming the metric based on the value of the metric and/or the change in the value of the metric satisfying a threshold. Related systems and computer program products are also provided.

Abstract: A laminated structure which at least includes one laminated unit, the lamination unit includes: a first metal oxide layer and a second metal oxide layer which are oppositely arranged, and a third metal layer arranged between the first metal oxide layer and the second metal oxide layer, and a third metal oxide film is respectively formed between the first metal oxide layer and the third metal layer, and between the second metal oxide layer and the third metal layer.