Abstract: A semiconductor structure includes a substrate and a semiconductor channel layer over the substrate. The semiconductor structure includes a high-k gate dielectric layer over the semiconductor channel layer, a work function metal layer over the high-k gate dielectric layer, and a bulk metal layer over the work function metal layer. The work function metal layer includes a first portion and a second portion over the first portion. Both the first portion and the second portion are conductive. Materials included in the second portion are also included in the first portion. The first portion is doped with silicon at a first dopant concentration, and the second portion is not doped with silicon or is doped with silicon at a second dopant concentration lower than the first dopant concentration.

Abstract: A method of wireless communications by a user equipment (UE) includes communicating with a network based on a machine learning model for wireless communication. The method also includes monitoring a status of the machine learning model for wireless communication. The method further includes reporting the status of the machine learning model for wireless communication using a predetermined resource according to a predetermined format. The method also includes falling back to communicating with a fallback procedure, instead of the machine learning model for wireless communication, to maintain wireless communication with the network in response to the status of the machine learning model indicating a model failure.

Abstract: A method for determining phase locking of critical arc light includes: step 1: monitoring and collecting light radiation intensity of an arc inside a switch cabinet in real time, and converting the collected light radiation intensity into an electrical signal; step 2: extracting a power-frequency fundamental wave of the electrical signal, comparing an amplitude of the power-frequency fundamental wave of the electrical signal with a first threshold, and generating a pre-warning signal based on a comparison result of the first threshold; step 3: comparing the amplitude of the power-frequency fundamental wave of the electrical signal with a second threshold voltage, and generating a control signal based on a comparison result of the second threshold voltage and a protection time threshold; and step 4: protecting the switch cabinet under the critical arc light environment based on the pre-warning signal and the control signal.

Abstract: Methods, systems, and devices for wireless communications are described. In some systems, devices use machine learning (ML) models to support wireless communications. For example, a user equipment (UE) may download ML model information from a network to determine an ML model. The network may additionally configure a status reporting procedure, a fallback procedure, or both for the ML model. In some examples, based on a configuration, the UE may transmit a status report to a base station according to a reporting periodicity, a UE-based trigger, a network-based trigger, or some combination thereof. Additionally or alternatively, the UE may determine to fallback from operating using the ML model to operating in a second mode based on a fallback trigger. In some examples, to restore operating using a downloaded ML model, the UE may download an updated ML model or receive iterative updates to a previously downloaded ML model.

Abstract: A configuration for reporting OOD samples for neural network optimization. The apparatus receives, from a base station, a configuration to report an OOD dataset for a machine learning model. The apparatus detects an occurrence of one or more OOD events. The apparatus reports the OOD dataset comprising the one or more OOD events based on the configuration to report OOD dataset. The apparatus receives, from the base station, an update to the machine learning model. The OOD dataset may comprise raw data related to the one or more OOD events, or may comprise extracted latent data corresponding to features of raw data related to the one or more OOD events.

Abstract: Techniques to incorporate quality of experience (QoE) in mobility management are disclosed. A user equipment (UE) may provide a QoE report to network (e.g., cell) upon detection of a QoE report triggering event (e.g., mobility management, environmental trigger, etc.). The QoE report may comprise information related to QoE metrics such as uplink (UL) latency, UL throughput, UL error rate, downlink (DL) frequency, DL throughput, DL error rate, handover (HO) frequency, beam switch frequency, UE power consumption, etc. The network may take actions such as sending a mobility management command if it is decided that QoE should be restored to the UE.

Abstract: A tunnel operation robot includes a robot body, a walking module, a fixed wing module and a plurality of rotatable wing modules. Both sides of the robot body are provided with cantilever parts, which are collinearly arranged. The walking module is arranged on the robot body. The fixed wing module includes a fixed fan, is fixedly arranged on the robot body, and is configured to provide a pressure for the walking module to be attached to and pressed against the tunnel wall surface. The plurality of rotatable wing modules are respectively arranged on the cantilever parts on both sides of the robot body, and include a rotatable rotating fan and a wind direction adjustment driver. Each rotating fan has a rotation axis parallel to the cantilever parts and an air outlet direction perpendicular to the cantilever parts, and the wind direction adjustment driver is connected to the rotating fan.

Abstract: Aspects of the invention provide compositions and methods for delivering nucleic acids to target cells.

Abstract: Aspects of the invention provide compositions and methods for delivering nucleic acids to target cells.