Abstract: The present invention discloses a strain of ammonium sulfate-tolerant Saccharomyces cerevisiae, and a screening method thereof. The strain of ammonium sulfate-tolerant Saccharomyces cerevisiae, named Saccharomyces cerevisiae Z-1, was preserved in Guangdong Microbial Culture Collection Center on Mar. 3, 2023, with a preservation number of GDMCC NO: 63227 and a preservation address of Floor 5, Building 59, No. 100 Courtyard, Xianlie Middle Road, Guangzhou. The ammonium sulfate-tolerant Saccharomyces cerevisiae Z-1 provided by the present invention may grow and breed in an environment containing 1.0 mol/L NH4+ (6.6% ammonium sulfate), and the protein content of the strain can reach 51.97%; and as a fermentation strain for protein feed, the strain of the present invention not only can adapt to the high-tolerance environment, but also can increase the protein content of the protein feed, and is an excellent strain for solid-state fermentation.

Abstract: An automotive decorative panel includes a decorative film, a touch icon component, and a light source system. The decorative film has an optical density between 0.2 and 2.0 and includes a substrate and a decorative layer disposed on the substrate. The touch icon component is disposed under the decorative film and includes a light-shielding pattern layer having an optical density between 3.5 and 6.0, a light diffusion layer disposed under the light-shielding pattern layer, and a touch layer. The light-shielding pattern layer has a pattern area that is light-permeable and a peripheral area that is light-impermeable. The touch layer is disposed on a side of the light-shielding pattern layer or between the decorative film and the light-shielding pattern layer. The light source system is disposed on a side of the touch icon component and configured to emit light toward the touch icon component.

Abstract: An anti-wear screw includes a U-shaped anti-wear clip and a locking screw. The U-shaped anti-wear clip is used to clamp on a heat dissipation substrate, and the locking screw is passed through the U-shaped anti-wear clip to fix the heat dissipation substrate. In addition, the anti-wear screw further includes a pressure spring installed between the locking screw and the U-shaped anti-wear clip to exert pressure on the U-shaped anti-wear clip and the heat dissipation substrate.

Abstract: This application discloses an ability aiming method in a three-dimensional virtual environment performed at a computer device. The method includes: displaying a user interface (UI) of an application program, the UI including a virtual environment picture obtained by observing the three-dimensional virtual environment from the perspective of a third-person point of view; receiving a drag operation on an ability aiming control in the UI, the drag operation from a first operating point and a second operating point that are located on the ability aiming control, the first operating point being an initial operating point and the second operating point being a current operating point of the drag operation; and displaying a three-dimensional ability aiming indicator in the virtual environment picture in response to the drag operation, an ability aiming direction of the three-dimensional ability aiming indicator being parallel to a drag direction of the drag operation in the UI.

Abstract: This application provides a virtual object control method performed by a computer device. The method includes: displaying a virtual battle interface; obtaining a first operation signal corresponding to a function triggering control; and receiving a first trigger operation on the function triggering control, and determining a first virtual object in the multiple virtual objects as an attack target based on operation information of the first trigger operation, the operation information being information obtained based on an activated target aiming function associated with the function triggering control; and keeping the first virtual object as the attack target when no other virtual object is determined as the attack target within a preset target duration in which the first virtual object is in a lost state.

Abstract: Provided are a communication method and system for a distributed heterogeneous acceleration platform, a device and a medium. The method includes: after starting a collaborative acceleration task, determining, by a first target heterogeneous acceleration card in a distributed heterogeneous acceleration platform, a second target heterogeneous acceleration card from the distributed heterogeneous acceleration platform by querying an information table corresponding to the collaborative acceleration task; generating, by the first target heterogeneous acceleration card, a target data packet according to a predefined data packet format, and sending the target data packet to the second target heterogeneous acceleration card via a PCIE interface; and parsing, by the second target heterogeneous acceleration card, the target data packet according to the data packet format, and executing a corresponding read operation or write operation according to a parsing result, so as to complete the collaborative acceleration task.

Abstract: Systems and methods described herein intelligently multiplex different types of traffic in a fixed wireless access (FWA) environment by communicating with the user/application directly so that the network capacity can be maximized for different types of traffic. A routing device in a customer premises network receives a routing policy and receives an indication of network congestion conditions. The routing device identifies one or more sources of delay-tolerant traffic in the customer premises network, such as a local area network (LAN), and applies the routing policy to delay data transmissions from the source based on identifying the indication of network congestion conditions.

Abstract: A multi-piece pre-assembled raft foundation is provided and includes pre-assemble bottom layer rebars of foundation slab, foundation steel columns, upper layer rebars of the foundation slab, and foundation rebars. The pre-assembled raft foundation is transported to a construction site for final assembly. A construction method of the multi-piece pre-assembled raft foundation is also provided.

Abstract: A system described herein may provide a technique for using modeling techniques to identify events, trends, etc. in a set of data, such as streaming video or audio content. The system may perform lightweight pre-processing operations on a different set of data, such as object position data, to identify timeframes at which an event may potentially have occurred, and the modeling techniques may be performed at portions of the streaming content that correspond to such timeframes. The system may forgo performing such modeling techniques at other portions of the streaming content, thus conserving processing resources.

Abstract: A traceback solution is provided. For a network of autonomous systems, the traceback solution traces the autonomous system path taken by traffic flows. Every link in the traceback path is created, verified, and audited by autonomous systems. Multiple autonomous systems may take part in the process, making the system robust against fake information. The database used to store the validated traceback paths is a decentralized and distributed storage. Multiple copies of the database may be maintained by the network of autonomous systems. The database may be accessible by any participating autonomous system; and is not accessible from outside the network of autonomous systems. The traceback solution achieves both validation and non-repudiation property among the ASes. The traceback solution mitigates some important attack scenarios that might be targeted specifically at the traceback solution.

Abstract: A device may include a processor configured to collect historical location data for a user equipment (UE) device associated with a user and determine a movement pattern for the user based on the collected historical location data. The processor may be further configured to obtain current location data for the UE device over a time period; determine a mobility score for the user for the time period based on the determined movement pattern and the obtained current location data, wherein the mobility score is associated with the user's movements during the time period with respect to the determined movement pattern for the user; and provide the determined mobility score for the user to another device configured to adjust one or more parameters of a radio access network (RAN) associated with the UE device based on the determined mobility score.

Abstract: A method for processing data, task processing system and electronic equipment are disclosed.

Abstract: A device may include a processor configured to collect historical location data for a user equipment (UE) device associated with a user and determine a movement pattern for the user based on the collected historical location data. The processor may be further configured to obtain current location data for the UE device over a time period; determine a mobility score for the user for the time period based on the determined movement pattern and the obtained current location data, wherein the mobility score is associated with the user's movements during the time period with respect to the determined movement pattern for the user; and provide the determined mobility score for the user to another device configured to adjust one or more parameters of a radio access network (RAN) associated with the UE device based on the determined mobility score.

Abstract: A device may collect network performance data associated with a user equipment of a network. The network performance data may include information associated with a plurality of performance indicators of the network. The device may process information associated with a first portion of the plurality of performance indicators to determine a first performance category experience score, and information associated with a second portion of the plurality of performance indicators to determine a second performance category experience score. The device may process the first performance category experience score and the second performance category experience score to determine a network experience score. The device may determine whether the network experience score satisfies a threshold value. The device may perform one or more actions based on determining that the network experience score satisfies the threshold value.

Abstract: A traceback solution is provided. For a network of autonomous systems, the traceback solution traces the autonomous system path taken by traffic flows. Every link in the traceback path is created, verified, and audited by autonomous systems. Multiple autonomous systems may take part in the process, making the system robust against fake information. The database used to store the validated traceback paths is a decentralized and distributed storage. Multiple copies of the database may be maintained by the network of autonomous systems. The database may be accessible by any participating autonomous system; and is not accessible from outside the network of autonomous systems. The traceback solution achieves both validation and non-repudiation property among the ASes. The traceback solution mitigates some important attack scenarios that might be targeted specifically at the traceback solution.

Abstract: A system may collect, from a wireless network, first data pertaining to nodes in the wireless network. Each datum of the first data belongs to one of two or more categories/For each of the nodes, for each of the categories, and for each datum belonging to the category, the system may determine if the datum is outside of a first range of values, and if the datum is inside the first range, the system may calculate a first base network performance health (NPH) score that is a function of the nodes, the categories, the data, and time. The system may also apply first deep learning to a first neural network among a plurality of neural networks to update first coefficients for correlating the first base NPH score to a mean opinion score, for each of the categories.

Abstract: A device may collect network performance data associated with a user equipment of a network. The network performance data may include information associated with a plurality of performance indicators of the network. The device may process information associated with a first portion of the plurality of performance indicators to determine a first performance category experience score, and information associated with a second portion of the plurality of performance indicators to determine a second performance category experience score. The device may process the first performance category experience score and the second performance category experience score to determine a network experience score. The device may determine whether the network experience score satisfies a threshold value. The device may perform one or more actions based on determining that the network experience score satisfies the threshold value.

Abstract: A method, a computer-readable medium, and an apparatus for IP traceback are provided. The apparatus may generate a group public key shared by a plurality of routers controlled by a service provider. The apparatus may generate a unique private signing key for a router of the plurality of routers. The private signing key may be used to generate a group signature for a session of network traffic. The group public key may be applied to the group signature to identify the service provider. The apparatus may identify the router by applying the group public key and a master secret key to the group signature. The apparatus may deploy preventive or mitigate action on the identified router.

Abstract: A Self-Organizing Network (SON) collects data pertaining to a first number of cells of a wireless network. The SON splits the collected data into a second number of groups, and, for each of the second number of groups, repeatedly set a third number of clusters to a different number between a low limit and a high limit. The SON, for each of the settings, clusters the cells into the third number of clusters and trains a deep neural network to perform a regression analysis on the third number of clusters. For each of the second number of groups, the SON also determines an optimum number of clusters based on the regression analyses, re-clusters the cells into the optimum number of clusters; and tunes engineering parameters based on the re-clustering to optimize performance of the wireless network and quality of experience pertaining to the wireless network.

Abstract: A method, a device, and a non-transitory storage medium for estimating voice call quality include performing automatic speech recognition, for each of a plurality of voice calls, to generate recognized text for both an originating device acoustic signal and a receiving device acoustic signal. The recognized text for both the originating device acoustic signal and the receiving device acoustic signal are compared to the reference text to identified recognition errors and a voice call quality score for each of the originating device acoustic signal and the receiving device acoustic signal are determined. A correlation between the network conditions and the voice call quality scores is then determined.