Abstract: Methods, systems, and devices for wireless communication are described. In some wireless communications systems, a user equipment (UE) may support two or more uplink switching periods for transmit chain switching. The UE may transmit a UE capability message indicating the UE capability to support a first uplink switching period and a second uplink switching period for transmit chain switching. The first uplink switching period and the second uplink switching period may each correspond to different switching periods associated with configuration switches between different transmit chain configurations of the UE. The UE and a base station may select an uplink switching period from among the first uplink switching period and the second uplink switching period. The UE may transmit an uplink data message to the base station after a preparation time that is based on the uplink switching period.

Abstract: A method for determining a consistency coefficient of a power-law cement grout includes: determining a water-cement ratio of the power-law cement grout; according to engineering practice requirements, determining a time required to determine the consistency coefficient of the power-law cement grout; and obtaining the consistency coefficient of the power-law cement grout. The method is accurate and reliable, requires less calculation, etc.; and has very high practical value and popularization value in environmental protection and ecological restoration.

Abstract: A semiconductor device may include a compound substrate and a 3-dimensional inductor structure. The compound substrate may include a front surface and a back surface. The 3-dimensional inductor structure may include a front conductive stack, a back conductive layer, and at least one through-hole structure. At least one portion of the front conductive stack may include a first conductive layer disposed on the front surface of the compound substrate, and a second conductive layer disposed on the first conductive layer. The second conductive layer has a thickness ranging between 30 micrometers and 400 micrometers. The back conductive layer is disposed on the back surface of the compound substrate. The at least one through-hole structure penetrates through the compound substrate, and electrically connects the front conductive stack to the back conductive layer.

Abstract: A user input in a source language is received. A set of contextual data is received. The user input is encoded into a user input feature vector. The set of contextual data is encoded into a context feature vector. The user input feature vector and the context feature vector are used to generate a fusion vector. An adaptive neural network is trained to identify a second context feature vector, based on the fusion vector. A second user input in the source language is received for translation into a target language. The adaptive neural network is used to determine, based on the second context feature vector, a second user input feature vector. The second user input feature vector is decoded, based on the source language and the target language, into a target language output. A user is notified of the target language output.

Abstract: The invention relates to a wide spectrum multi-band detection structure with selective absorption enhancement and its preparation method. The structure comprises a plurality of sub-pixel units capable of detecting incident light in different bands. Each sub-pixel unit is composed of a square well-shaped microstructure array and a metal lower electrode (2), a photosensitive layer (3) and an upper electrode (4) on the surface thereof. The size and array spacing of square well-shaped microstructures in different sub-pixel units are determined according to the detection bands of the sub-pixel units where they are located. The upper openings of the square well-shaped microstructures are hollow to form a resonant cavity, and the adjacent square well-shaped microstructures in the same sub-pixel unit form a resonant cavity, thus solving the problem that the detector structure in the prior art cannot simultaneously realize visible light-near infrared multi-band absorption enhancement detection.

Abstract: An information transmission method and a network device, the network device including a transceiver, a processor, and a non-transitory storage medium storing a computer program for execution by the processor. The computer program includes instructions to receive a first frame through the receiver, where an extended schedule element of the first frame has a field indicating communication between network devices is supported, and where the extended schedule element further has a source association identifier and a destination association identifier, and control the transceiver to transmit information to a first network device when both the first network device and the network device support communication between network devices, where a value of the source association identifier and a value of the destination association identifier are each 0.

Abstract: The invention refers to a diffusion plate and a backlight module having the diffusion plate. The diffusion plate comprises a plate-body and a plurality of pyramid-like structures arranged on a surface of the plate-body. Each pyramid-like structure has a bottom surface, a first convex portion and a second convex portion. The first convex portion and the second convex portion have different vertex angles, and therefore the pyramid-like structure can also be called as “pyramid-like structure with multiple vertex angles”. The pyramid-like structures with multiple vertex angles can increase the light splitting points, which can improve the light splitting effect of the diffusion plate. The light source of a single light-emitting diode can be divided into eight point-light sources (light splitting points) or more, which is double the number of light splitting points compared with the traditional pyramid structure with single vertex, and thus can greatly improve the light diffusion effect.

Abstract: A display substrate a driving method therefor, and a display apparatus. The display substrate comprises: M rows and N columns of sub-pixels, N data signal lines and a data reset circuit, wherein at least one sub-pixel comprises a pixel circuit; an ith data signal line is connected to pixel circuits in an ith column, where M?1, N?1, and 1?i?N; and the data reset circuit is electrically connected to a data reset control end, a data initial signal end and the N data signal lines, and is configured to provide a signal of the data initial signal end to the N data signal lines under the control of the data reset control end.

Abstract: The present disclosure provides a blending method of high-quality and dual-purpose flour for bread and noodles, belonging to the technical field of flour processing. The method includes: selecting flour of a high-quality and dual-purpose wheat variety for bread and noodles as a high-quality basic flour for blending; according to a large gradient experimental design, selecting a gradient range ratio with a sedimentation value ?46.0 mL and a dough development time ?9.6 min, followed by subdividing for small gradient experiments; selecting a ratio with flour sedimentation value and dough development time that reach an ideal value to blend a large amount of flour; and making bread and noodles for scoring, followed by determining a blending ratio if a scoring result reaches an ideal value.

Abstract: Disclosed is a prediction method for tool remaining life of a numerical control machine tool based on a hybrid neural model, including: constructing a hybrid neural network model, specifically including the following steps: constructing sample data according to the sampling frequency of tool data; obtaining a first feature vector representing the tool life by utilizing a convolutional neural network and a long short-term memory network; generating working condition signals of sampling points into a second feature vector representing the tool life by utilizing an NFM neural network; and inputting a current working time of a tool and the acquired feature vectors into a multi-layer perceptron for fusion to predict the tool life.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive configuration information that indicates an uplink transmit switching configuration for performing uplink transmit switching between a first component carrier and a second component carrier and a sounding reference signal (SRS) carrier switching configuration for performing SRS carrier switching between the second component carrier and a third component carrier, wherein the configuration information is associated with a maximum number of allowable switches over an amount of time. The UE may transmit, based at least in part on the configuration information, one or more signals associated with performing at least one of uplink transmit switching or SRS carrier switching. Numerous other aspects are described.

Abstract: Provided are a method and apparatus for evaluating image relative definition, a device and a medium, relating to technologies such as computer vision, deep learning and intelligent medical. A specific implementation solution is: extracting a multi-scale feature of each image in an image set, where the multi-scale feature is used for representing definition features of objects having different sizes in an image; and scoring relative definition of each image in the image set according to the multi-scale feature by using a relative definition scoring model pre-trained, where the purpose for training the relative definition scoring model is to learn a feature related to image definition in the multi-scale feature.

Abstract: Disclosed is a prediction method for tool remaining life of a numerical control machine tool based on a hybrid neural model, including: constructing a hybrid neural network model, specifically including the following steps: constructing sample data according to the sampling frequency of tool data; obtaining a first feature vector representing the tool life by utilizing a convolutional neural network and a long short-term memory network; generating working condition signals of sampling points into a second feature vector representing the tool life by utilizing an NFM neural network; and inputting a current working time of a tool and the acquired feature vectors into a multi-layer perceptron for fusion to predict the tool life.

Abstract: A large-field-of-view high-resolution imaging device includes an imaging array formed by splicing and combining a plurality of imaging units and a CSI phosphor screen. Each imaging unit is formed by coupling an array of light cones in series and an enhanced CCD. The series light cone array is formed by connecting a large light cone and a small light cone in series such that a small end face of the large light cone is connected with a large end face of the small light cone, a large end face of the large light cone is attached to the CSI phosphor screen, and a small end face of the small light cone serves as an input window of an image enhancer. The enhanced CCD is formed by coupling the image enhancer and a CCD camera. A photosensitive screen of the CCD camera serves as an output window of the image enhancer.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. An iterative process may be performed to identify a coalition network associated with fraudulent activity. The iterative process may include analyzing the first network profile to identify a first set of entities, of the first entities, that are related to an entity of the second entities, and/or analyzing the first network profile to identify a second set of entities, of the second entities, that are related to the first set of entities. Multiple iterations may be performed to identify the coalition network.

Abstract: An approach is provided in which the approach captures a first user activity log of a first user accessing multiple systems and captures a set of second user activity logs of a set of second users accessing the multiple systems. The approach determines a set of system monitoring preferences based the first user activity log and the set of second user activity logs, and scores the multiple systems based on the set of system monitoring preferences. The approach generates a recommended system monitoring list based on the scored multiple systems, and transmits the recommended system monitoring list to the first user.

Abstract: An embodiment includes detecting an interface element and an element attribute of the interface element in a series of views of a user interface, and then after an update of the user interface, detecting a candidate element and a candidate element attribute in a series of views of the updated user interface. The embodiment then determines that the updated user interface lacks any errors using a decision tree that includes comparisons of all interface elements of the user interface to corresponding candidate elements of the updated user interface. The embodiment then generates an optimized decision tree based at least in part on an analysis of the comparisons of the user interface to the updated user interface resulting in a condition that allows for the determining of a lack of errors based on comparisons of a subset of the interface elements to corresponding candidate elements.

Abstract: An electric hammer includes a housing, an electric motor, an output assembly, an impact assembly, a mounting shaft, a clutch assembly, and a switching assembly. The mounting shaft is rotatable about a second axis. When the electric hammer is in the drill mode, a sleeve of the output assembly rotates. When the electric hammer is in the hammer drill mode, the sleeve rotates and an impact block of the impact assembly reciprocates in the sleeve. The switching assembly is configured to switch the clutch assembly between a first state and a second state and includes a switching element. The switching element includes a forced end and a drive end, the output assembly moving along a first axis drives the forced end to move, and the drive end is configured to drive the clutch assembly to be switched to the first state.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. An iterative process may be performed to identify a coalition network associated with fraudulent activity. The iterative process may include analyzing the first network profile to identify a first set of entities, of the first entities, that are related to an entity of the second entities, and/or analyzing the first network profile to identify a second set of entities, of the second entities, that are related to the first set of entities. Multiple iterations may be performed to identify the coalition network.

Abstract: Aspects of the present disclosure relate to input text management. Input text can be received from a user. A set of key elements can be extracted from the input text. A determination can be made whether the user is mapped to an existing cluster. In response to determining that the user is mapped to an existing cluster, a structured table mapping key elements to text modifications can be referenced. The input text can be modified according to the structured table mapping key elements to text modifications, wherein the existing cluster is associated with a text modification scheme within the structured table, wherein the text modification scheme includes a first mapping of key elements to text modifications.