Abstract: Active machine learning with model selection is used to control a printing system to efficiently, accurately, and autonomously predict jettability diagrams for different print head and ink combinations. A print system may be controlled using active machine learning to efficiently and accurately predict a jetting behavior for different combinations of ink and inkjet print heads at different settings/values for operating parameters of the print heads, such as firing voltage, pulse width/dwell time, frequency, ramp up, ramp down, meniscus pressure, heating rate, hold time, transducers' positions, geometries, and heating power, and/or other operating parameters of the print heads.

Abstract: An information reporting method, a receiving method, user equipment, and a network device are provided. The information reporting method comprises: sending a RRC resume request message to a network device; receiving a first RRC message sent by the network device in response to the RRC resume request message; and sending a second RRC message in response to the first RRC message to the network device, wherein in a case that the user equipment is in an inactive mode, when a PLMN reselects to an EPLMN, or when PLMN reselects to EPLMN and RNA update conditions are met, the second RRC message carries the identity of EPLMN.

Abstract: A performance degradation-based product reliability weak link evaluation method includes: acquiring a performance degradation parameter of each component of a to-be-evaluated product corresponding to each test time point; evaluating the performance degradation parameter of each component corresponding to each test time point through a fault time evaluation model, to obtain a pre-fault operating duration of each component; evaluating the pre-fault operating duration of each component through a confidence-based unreliability evaluation method, to obtain an unreliability evaluation result of each component; generating at least one component service life distribution model corresponding to each component according to the unreliability evaluation result, and selecting a corresponding target component service life distribution model; and evaluating mean time between failures corresponding to each component according to the target component service life distribution model, and selecting a reliability weak link of th

Abstract: Described herein is a metrology system and a method for converting metrology data via a trained machine learning (ML) model. The method includes accessing a first (MD1) SEM data set (e.g., images, contours, etc.) acquired by a first scanning electron metrology (SEM) system (TS1) and a second (MD2) SEM data set acquired by a second SEM system (TS2), where the first SEM data set and the second SEM data set being associated with a patterned substrate. Using the first SEM data set and the second SEM data set as training data, a machine learning (ML) model is trained (P303) such that the trained ML model is configured to convert (P307) a metrology data set (310) acquired (P305) by the second SEM system to a converted data set (311) having characteristics comparable to metrology data being acquired by the first SEM system. Furthermore, measurements may be determined based on the converted SEM data.

Abstract: A novel acylated insulin analog is provided as well as a side chain compound that can be used to prepare the acylated insulin analog, a pharmaceutical composition thereof, a pharmaceutical use, an administration method and a preparation method. The acylated insulin analog can be used for the treatment of diabetes. It has the effect as a weekly preparation or a longer-acting insulin preparation and can be used for the treatment once a week or less frequently, increasing the compliance of diabetic patients.

Abstract: The present disclosure provides a pellet. In an embodiment, the pellet includes a body having a first end and an opposing second end. The body is composed of a polymeric material. The body has a length and a diameter (body diameter). A channel having a diameter (channel diameter), extends through the body from the first end to the second end. The pellet has a channel diameter-to-body diameter ratio from 0.05 to 0.45. The present disclosure also provides a process for soaking the pellet in a liquid additive and forming a loaded pellet with the additive in the pellet body.

Abstract: A system uses a machine learning model trained using multitask learning for processing audio signals of different types. The system may be used in a device such as a headset, smart glasses, or a smart watch, and may be used to make predictions based on different types of audio signals, for example, for classifying acoustic events based on audio signal or for keyword spotting to detect wake words. The use of a single machine learning model for analyzing different types of audio signals improves storage efficiency as well as energy efficiency of devices compared to systems that use a different machine learning model for processing each type of audio signal.

Abstract: Dynamic adjusting of pod resource limits is provided at runtime of a container orchestration platform pod. The process includes deploying a container orchestration platform pod with one or more pod resources in a computing environment, where the pod resources have one or more associated pod resource limits. Further, the process includes monitoring a runtime resource usage of the container orchestration platform pod, and predicting, by a trained machine learning model, upcoming resource usage of the container orchestration platform pod. The predicting uses, at least in part, the monitored runtime resource usage. Further, the process includes dynamically adjusting a pod resource limit of the one or more pod resource limits of the container orchestration platform pod in the computing environment. The dynamically adjusting is based on the monitored runtime resource usage, and the predicted upcoming resource usage.

Abstract: A robot welding method based on semantic feature clustering; the method comprises: acquiring an image of a workpiece, and generating an image training sample set; performing semantic annotation on the image of the workpiece to generate a semantic training sample set; establishing a semantic clustering model, and training same by using the image training sample set and the semantic training sample set; by using the trained semantic clustering model, identifying an image of a workpiece to be welded, so as to obtain data of the workpiece to be welded; on the basis of the data of the workpiece to be welded and by using parameterized online programming, generating a welding program for the workpiece to be welded; and on the basis of the welding program, executing welding of the workpiece to be welded. By means of the robot welding method based on semantic feature clustering, neither teaching programming nor offline programming is required, thereby improving the precision, efficiency, universality and flexibility.

Abstract: A use of 2-amino-3-methylhexanoic acid in promoting plant growth and increasing yield and use of the 2-amino-3-methylhexanoic acid in promoting growth of a plant seedling and/or promoting growth of a mature plant and increasing yield. The 2-amino-3-methylhexanoic acid is a natural product, has a simple structure, and is easy for industrial production. The 2-amino-3-methylhexanoic acid can promote plant growth and has the potential of being developed into a natural plant growth regulator. The 2-amino-3-methylhexanoic acid is a natural product, low in dosage, and environmentally friendly, has a remarkable promoting effect on plant growth, and thus is a green and efficient biological source plant growth regulator, which indicates the utilization value and application prospects of such substances in agricultural production.

Abstract: A method and apparatus for optimally configuring a capacity of a high-proportion new energy system, a device, and a medium, which belong to the field of new energy system optimization and are used for solving the problems of insufficient flexibility of the high-proportion new energy system during the heating period and difficult consumption of renewable energy. The method includes: constructing a high-proportion new energy system structure; establishing a concentrating solar power (CSP) unit model and a combined heat and power (CHP) unit model based on the proposed structure; establishing a high-proportion new energy system collaborative optimization model based on the proposed unit models; acquiring relevant data of various units and renewable resource data; and obtaining a capacity configuration and operation optimization scheme of various units in the high-proportion new energy system according to the established model, thereby improving the renewable energy consumption of the system.

Abstract: An anti-GFRAL antibody and a use thereof. The anti-GFRAL antibody or an antigen-binding portion thereof can be used for treating or preventing GFRAL-mediated or GFRAL-RET-GDF15 signaling pathway-mediated diseases or abnormalities, particularly cachexia syndrome.

Abstract: A semiconductor structure is disclosed. The semiconductor structure includes a staircase structure disposed over a substrate. The staircase structure includes a plurality of layer stacks, where each layer stack is made of a first material layer over a portion of a second material layer. The staircase structure further includes a plurality of landing pads, where each landing pad is disposed over another portion of the second material layer of a respective layer stack.

Abstract: Embodiments of this application relate to the field of communication technologies, and provide a user equipment UE capability information reporting method and a device. The method includes: UE receives UE capability enquiry information from a network device, where the UE capability enquiry information is used to query a capability of the UE. The UE sends UE capability information to the network device based on the UE capability enquiry information, where the UE capability information is used to indicate that the UE supports a first-type band combination, and the first-type band combination includes a band combination including an intra-band ENDC band combination and NRCA. The UE capability information includes first information and second information, the first information includes a first bandwidth combination set of the intra-band ENDC supported by the UE, and the second information includes a second bandwidth combination set of the NRCA supported by the UE.

Abstract: Disclosed is a replication-defective Ad35-vectored immunogenic composition for inducing immune response against SARS COV-2, comprising an Ad35 vector, wherein the Ad35 vector encodes the optimized nucleic acid sequence of SEQ ID NO: 1. Some embodiments of the present disclosure have better safety and use convenience. Experiments have shown that the immunogenic composition can produce more S proteins in human cells. Some embodiments of the present disclosure may be used in combination with another immunogenic composition or may also be used as a therapeutic immunogenic composition for Corona Virus Disease 2019. When a patient is immunized with the Ad35-vectored immunogenic composition of the present disclosure at the initial stage of infection, the immunogenic composition induces an immune response in the human body, thereby achieving a therapeutic effect.

Abstract: Disclosed are a hearing state prediction apparatus and method based on a diffusion tensor image, including: obtaining a diffusion tensor image to be processed, wherein the diffusion tensor image comprises a diffusion-weighted image; generating a diffusion index image based on the diffusion-weighted image; determining a white matter microstructural feature corresponding to the diffusion tensor image, and determining a hearing state corresponding to the diffusion tensor image according to a mapping relationship between the white matter microstructural feature and the hearing state. The apparatus may generate the diffusion index image through the diffusion-weighted image included in the diffusion tensor image, and then the white matter microstructural feature is determined based on the diffusion index image, so that the white matter microstructural feature can be identified more accurately, and the accuracy of a hearing state evaluation result is improved.

Abstract: A method for processing communication range information and a terminal are provided. The method includes: receiving the communication range information of a service data unit from an application layer; determining target information according to the communication range information; and transmitting the target information to a base station.

Abstract: A circuit board module relates to the field of touch technologies. The above circuit board module includes a touch chip, a first circuit board, a second circuit board and at least one conductive connection portion. The touch chip includes at least one ground pin and a plurality of signal pins. The first circuit board includes a first ground portion and a plurality of signal pads; the signal pads are electrically connected to the signal pins; the first ground is electrically connected to the at least one ground pin. The second circuit board includes a second ground portion. The at least one conductive connection portion is electrically connected to the first ground portion and the second ground portion.

Abstract: A preparation method and application of flaxseed plant milk with a good flavor, self-stabilization and functional activity based on interface contro is disclosed. The preparation method includes the following steps: (1) pretreating flaxseed by degumming, microwave cooking and soaking for softening in sequence for standby; (2) performing colloid grinding, enzymatic hydrolysis and slag removal on the flaxseed obtained by soaking for softening in sequence, to obtain flaxseed plant milk A; and (3) performing first high-pressure homogenization, enzyme inactivation, sterilization, and second high-pressure homogenization on the flaxseed plant milk A in sequence, to obtain stable flaxseed plant milk in long-term storage with a good flavor and functional activity based on interface control. The process of the present invention is green, and can maintain stability of a product without adding an exogenous additive.

Abstract: A display substrate including a first display area including a plurality of first sub-pixels, a plurality of second sub-pixels and a plurality of third sub-pixels, wherein the display substrate includes a plurality of first pixel groups each of which includes two third sub-pixels, one first sub-pixel and one second sub-pixel, the two third sub-pixels are arranged adjacent to each other along a first direction, the one first sub-pixel and the one second sub-pixel are adjacent to at least one of the two third sub-pixels, located on both sides of a straight line passing centers of the two third sub-pixels, and arranged along a second direction different from the first direction; a size of the first sub-pixel and the second sub-pixel in the second direction is smaller than a size of the first sub-pixel and the second sub-pixel in the first direction, respectively.