Abstract: A user equipment includes a transmitting unit configured to transmit a groupcast to a group including a plurality of user equipments, a receiving unit configured to receive a response related to a retransmission control for the groupcast, and a control unit configured to control a leakage power to another channel arranged by frequency division with a channel via which a response related to the retransmission control for the groupcast is received.

Abstract: A method comprises forming a gate dielectric cap over a gate structure; forming source/drain contacts over the semiconductor substrate, with the gate dielectric cap laterally between the source/drain contacts; depositing an etch-resistant layer over the gate dielectric cap; depositing a contact etch stop layer over the etch-resistant layer and an interlayer dielectric (ILD) layer over the contact etch stop layer; performing a first etching process to form a via opening extending through the ILD layer and terminating prior to reaching the etch-resistant layer; performing a second etching process to deepen the via opening such that one of the source/drain contacts is exposed, wherein the second etching process etches the etch-resistant layer at a slower etch rate than etching the contact etch stop layer; and depositing a metal material to fill the deepened via opening.

Abstract: A slide staining apparatus for staining of cells and tissue samples on slides before pathological analysis. The apparatus is operable to stain multiple sets of slides simultaneously and configured with a reagent system having a plurality of reagents. The Apparatus includes a slide counter, a controller having a non-transitory memory component with instructions thereon, and a processor configured to determine a count of a set of received slides since the regent system was installed. When the count is below a threshold, the first protocol is used. When the count is above the threshold, slides in-progress are stained, and newly received slides are stained with a second protocol, the first protocol having an eosin reagent step followed by a 95% ethanol reagent step of a first duration, the second protocol having an eosin reagent step followed by a 95% ethanol reagent step of a second duration less than the first duration.

Abstract: A gear shifting mechanism includes a drive motor, a shifting drum, and a first shifting mechanism. The first shifting mechanism includes a first shifting fork, an inner shaft, an outer hub, a first coupling pin, and an elastic component. The elastic component is sleeved on the inner shaft and is located between the inner shaft and the outer hub. There is a first limiting portion and a second limiting portion between the outer hub and the inner shaft. The elastic component is located between the first limiting portion and the second limiting portion. The first limiting portion is connected to one of the outer hub and the inner shaft, and the second limiting portion is connected to the other of the outer hub and the inner shaft.

Abstract: A key-value store and a file system are integrated together to provide improved operations. The key-value store can include a log engine, a hash engine, a sorting engine, and a garbage collection manager. The features of the key-value store can be configured to reduce the number of I/O operations involving the file system, thereby improving read efficiency, reducing write latency, and reducing write amplification issues inherent in the combined key-value store and file system.

Abstract: A logic cell structure includes a first portion, a second portion and a third portion. The first portion, arranged to be a first layout of a first semiconductor element, is placed in a first cell row of a substrate area extending in a first direction. The second portion, arranged to be a second layout of a second semiconductor element, is placed in a second cell row of the substrate area. The third portion is arranged to be a third layout of an interconnecting path used for coupling the first semiconductor element and the second semiconductor element. The first, second and third portions are bounded by a bounding box with a height in a second direction and a width in the first direction. Respective centers of the first portion and the second portion are arranged in a third direction different from each of the first direction and the second direction.

Abstract: Provided are a complex of an anti-IL-4R antibody or an antigen-binding fragment thereof, and a medical use thereof. Specifically, provided are a complex of an antibody that specifically binds to IL-4R or an antigen-binding fragment thereof covalently linked to a toxin, a pharmaceutical composition comprising the complex, and a use thereof in the preparation of a drug for treating IL-4R-mediated diseases or disorders, especially a use in the preparation of an anti-cancer drug.

Abstract: A gain control method for a signal amplifier includes obtaining, by the signal amplifier, target information; determining, by the signal amplifier, a power adjustment parameter of the signal amplifier according to the target information, where the power adjustment parameter includes any one of the following: an amplification multiple-related parameter and a transmit power-related parameter; and adjusting, by the signal amplifier, a power parameter of the signal amplifier according to the power adjustment parameter, where the power parameter includes any one of the following: an amplification multiple and transmit power.

Abstract: The method for manufacturing the semiconductor structure includes: providing a substrate, and forming contact holes in the substrate; depositing a metal at a bottom of each contact hole, and performing a reverse sputtering treatment to form a metal layer; in the reverse sputtering treatment, metal atoms or metal ions are sputtered onto at least a part of a side wall of each contact hole; performing a annealing treatment, to cause the substrate reacts with the metal layer to form a metal silicide layer.

Abstract: A user equipment includes a control unit that controls transmission or reception of a sidelink signal in which a first resource and a second resource are multiplexed in a same slot, wherein at least one of SLSS (Sidelink synchronization signal) or PSBCH (Physical Sidelink Broadcast Channel) is allocated in the first resource, and at least one of PSCCH (Physical Sidelink Control Channel), PSSCH (Physical Sidelink Shared Channel), and PSDCH (Physical Sidelink Discovery Channel) is allocated in the second resource; a reception unit that monitors the first resource, the second resource, or the first resource and the second resource; and a transmission unit that performs transmission using any one of the first resource, the second resource, and the first resource and the second resource.

Abstract: Embodiments described herein provide systems and methods for training a sequential recommendation model. Methods include determining a difficulty and quality (DQ) score associated with user behavior sequences from a training dataset. User behavior sequences are sampled during training based on their DQ scores. A meta-extrapolator may also be trained based on user behavior sequences sampled according to DQ score. The meta-extrapolator may be trained with high quality low difficulty sequences. The meta-extrapolator may then be used with an input of high quality high difficulty sequences to generate synthetic user behavior sequences. The synthetic user behavior sequences may be used to augment the training dataset to fine-tune the sequential recommendation model, while continuing to sample user behavior sequences based on DQ score. As the DQ score is based on current model predictions, DQ scores iteratively update during the training process.

Abstract: Described herein, a transparent soap bar for cleaning the skin including a soap surfactant, a synthetic surfactant, a fragrance component, an amine component, an antioxidant salt, wherein the transparent soap bar has a percent transmittance (% T) value of greater than 40% as measured using the method of Measurement of % Transmittance.

Abstract: An object drag method includes a first terminal that displays an object on a display of the first terminal. The first terminal receives a drag operation from a user. The drag operation initiates a drag for the object. The first terminal displays, on the display of the first terminal in response to the drag operation, an animation in which the object moves with the drag operation. The first terminal sends drag data to a second terminal after determining that a drag intent of the user is a cross-device drag. The drag data enables the second terminal to display the object on a display of the second terminal.

Abstract: A conversation engine performs conversations with users using chatbots customized for performing a set of tasks that can be performed using an online system. The conversation engine loads a chatbot configuration that specifies the behavior of a chatbot including the tasks that can be performed by the chatbot, the types of entities relevant to each task, and so on. The conversation may be voice based and use natural language. The conversation engine may load different chatbot configurations to implement different chatbots. The conversation engine receives a conversation engine configuration that specifies the behavior of the conversation engine across chatbots. The system may be a multi-tenant system that allows customization of the chatbots for each tenant.

Abstract: A user equipment includes a receiving unit configured to receive a physical control channel and a physical shared channel from another user equipment; a control unit configured to calculate a distance that is an estimated distance between the another user equipment and the user equipment, based on information acquired via the physical control channel; and a transmitting unit configured to determine whether to transmit, via a channel used for transmitting and receiving a response relating to retransmission control, the response relating to the retransmission control of the physical shared channel transmitted from the another user equipment, based on the calculated distance.

Abstract: This application provides a touch sensor, a touch display, and an electronic device. The touch sensor includes a substrate, a bridge electrode line, and an electrode layer. The electrode layer includes at least a first electrode pattern, the first electrode pattern includes a plurality of first conductive units spaced from each other, a boundary line of the first conductive unit includes a curved connecting segment, the connecting segment includes at least one first concave and convex portion, and first concave and convex portions are sequentially connected to form a smooth curve. The bridge electrode line extends in a curve, and two ends respectively cross connecting segments of two adjacent first conductive units, and electrically connect the two first conductive units. The touch sensor provided in the embodiments of this application improves bending resistance performance of a touch electrode.

Abstract: This application discloses a transmission parameter management method and apparatus, and an electronic device. The transmission parameter management method is executed by a first integrated access backhaul IAB node and includes: obtaining assistance information related to a transmission parameter of a second IAB node and/or assistance information related to a measurement parameter; and determining a transmission parameter based on the assistance information.

Abstract: One or more fields can be divided into portions, and different sets of interventions can be performed during the course of planting and growing a crop in each field portion. The effect of each set of interventions on the crop outcome of the corresponding field portion can be determined using a best performing model of a set of predictive models applied to the set of interventions. The selected model can be used to determine an effect of each intervention on crop outcome of a field portion by estimating a portion of the crop outcome attributable to the intervention. A machine-learned model can be trained based on the effect each intervention has on crop outcome determined by the selected model, and the machine-learned model can be applied to subsequent fields and crops to predict effects that various interventions can have on subsequent crop outcomes.