Abstract: A method for extracting harmonic response from offshore wind turbine structure, including: F1, continuously collecting its acceleration response under non-operating conditions, obtaining the acceleration response signal of the tower under only environmental load, and cropping all collected signals into signal segments with a length of L; F2, using Fourier transform to convert all signal segments from the time domain to the frequency domain, obtaining the frequency spectrum of the signal P; F3, according to the maximum rotational speed P, either designed or recorded by the SCADA system, determining the maximum harmonic response frequency Fmax=N×P, 1?N?12 to be extracted, and cropping the individual frequency spectrum into three segments P1, P2, P3, corresponding to frequency ranges of 0˜F1, F1˜F2, F2˜F3, where the selected frequency F1 is not less than Fmax; F4, cropping all frequency spectra according to F3 to form a frequency spectral dataset D without harmonic excitation effects.

Abstract: A method for patterning a stack having a mask with a plurality of mask features is provided. A targeted deposition is provided, wherein the targeted deposition comprises a plurality of cycles, wherein each cycle comprises flowing a precursor to deposit a layer of precursor and targeted curing the layer of precursor, comprising flowing a curing gas, flowing a modification gas, forming a plasma from the curing gas and modification gas, and exposing the layer of precursor to the plasma providing a targeted curing, wherein plasma from the curing gas cures first portions of the layer of precursor and plasma from the modification gas modifies second portions of the layer of precursor, wherein the modification of the second portion reduces curing of the layer of precursor of the second portions of the layer of precursor. The stack is etched through the targeted deposition.

Abstract: The present disclosure relates to methods and devices for wireless communication at a wireless device of a wireless wearable device. In one aspect, the wireless device may transmit a first report based on one of a location of the wireless wearable device, a time period, or reception of a user-controlled indication to transmit the first report. The wireless device may also receive, based on the transmitted first report, a configuration to switch from a first mode to a second mode. In some aspects, the configuration can include at least one parameter associated with a power savings at the wireless wearable device while in the second mode. Additionally, the wireless device can operate based on the at least one parameter while in the second mode.

Abstract: An electrochemical device, including a positive electrode plate. The positive electrode plate includes a positive active material layer. When the electrochemical device is in a fully discharged state, an X-ray diffraction pattern of the positive active material layer exhibits a first diffraction peak and a second diffraction peak in a range of 17.8° to 19.2°. A diffraction angle of the first diffraction peak is smaller than a diffraction angle of the second diffraction peak. The electrochemical device achieves an increased energy density and improved cycle performance.

Abstract: Embodiments described herein provide a large language model (LLM) based AI agent that adopts Monte-Carlo Tree Search (MCTS) to execute a task. The LLM is prompted with a task description and it responds with its first attempted list of actions. Based on the success or failure of the first attempt, the LLM is prompted with an updated prompt which includes feedback from the first attempt based on a determined reward. The prompt may include a relative “score” for each action taken at each step. A numeric score may be mapped to a set of pre-defined text labels, such as “high” or “low” value putting the score in a form more suited for an LLM prompt. In this way, the LLM is iteratively given prompts which are updated with the scores from each action taken at each previous iterations so that it traverses different paths on the tree in each iteration.

Abstract: An electrochemical device includes a positive electrode plate, a negative electrode plate, and an electrolyte. The negative electrode plate includes a negative electrode active layer, the positive electrode plate includes a positive electrode active layer, the positive electrode active layer includes a positive electrode active material, the positive electrode active layer includes element aluminum, an amount A (mmol) of the element aluminum in the positive electrode active layer and a total area B (m2) of the negative electrode active layer satisfy 3?A/B?25, and the positive electrode active material includes lithium manganese oxide and a manganese-containing compound.

Abstract: An electrochemical apparatus, including a positive electrode plate, where the positive electrode plate includes a positive electrode active material layer, and the positive electrode active material layer includes a first lithium manganese oxide and a second lithium manganese oxide; and in a fully discharged state of the electrochemical apparatus, through Raman test, the first lithium manganese oxide has a characteristic peak A in a range of 507 cm?1±10 cm?1 and a characteristic peak B in a range of 660 cm?1±10 cm?1, and the second lithium manganese oxide has a characteristic peak C in a range of 625 cm?1±10 cm?1. The electrochemical apparatus has high initial coulombic efficiency and excellent cycling performance on the basis of high energy density.

Abstract: Methods, systems, and devices for wireless communications are described. A network entity, such as a base station, may receive, from a first network entity, a broadcast indicating a downlink control channel transmission pattern associated with the first network entity. The network entity may monitor a plurality of receive beams for a plurality of downlink control channel transmissions from the first network entity according to the downlink control channel transmission pattern and may select a communication beam according to one or more cross-link interference (CLI) measurements associated with one or more of the plurality of receive beams in accordance with the monitoring. The network entity may communicate with a user equipment using the selected communication beam and a first set of resources that at least partially overlap in time and frequency with a scheduled communication at the first network entity. The network entity may experience or may cause the measured CLI.

Abstract: An electrochemical device includes a positive electrode plate, a negative electrode plate, and an electrolyte. The positive electrode plate includes a positive electrode active layer, the positive electrode active layer includes a positive electrode active material, and the positive electrode active material includes an additive. During charge/discharge the electrochemical device, when the electrochemical device is in a fully discharged state, an X-ray diffraction pattern of the positive electrode plate has a characteristic diffraction peak 1 at a diffraction angle 2? ranging from 17.5° to 19.5°, and the additive includes manganese element.

Abstract: The invention relates to an operation diagram-based method for automatically changing a route to turn back in case of interruption. The method obtains an alternative turn-back point according to the position of a fault point and the information of a line turn-back station, calculates a corresponding turn-back plan of the alternative turn-back point according to an operation diagram of the current day, and finally automatically changes an online train route according to the new turn-back plan, so as to realize automatic turn-back of a train after route adjustment in case of interruption. Compared with the prior art, the method has the advantage of being able to keep the compatibility with an existing operation diagram while quickly changing a route in case of partial line interruption, so as to facilitate quick recovery of planned operation after a fault is removed.

Abstract: Methods, systems, apparatuses, devices, and computer program products are described. A flow generation service may receive a natural language input that indicates instructions for automating a task according to a first process flow. Using a large language model (LLM), the flow generation service may decompose the natural language input into a set of elements (e.g., logical actions) and connectors, where the LLM may be trained on first metadata corresponding to a second process flow that is created manually by a user. In addition, using the LLM, the flow generation service may generate second metadata corresponding to each of the set of elements based on decomposing the natural language input. The flow generation service may sequence and merge the set of elements to generate the first process flow. In some examples, the flow generation service may send, for display to a user interface of a user device, the first process flow.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may receive a configuration for monitoring one or more physical downlink control channels (PDCCHs) for downlink control information (DCI) that schedules physical downlink shared channel (PDSCH) communications on each carrier included in a set of carriers and for DCI that schedules physical uplink shared channel (PUSCH) communications on one or more carriers. The UE may monitor the one or more PDCCHs for DCI in accordance with the configuration. The UE may receive DCI that schedules a PUSCH communication on the one or more carriers based at least in part on the monitoring. Numerous other aspects are provided.

Abstract: Embodiments described herein provide a method of predicting an action by a plurality of language model augmented agents (LAAs). In at least one embodiment, a controller receives a task instruction to be performed using an environment. The controller receives an observation of a first state from the environment. The controller selects a LAA from the plurality of LAAs based on the task instruction and the observation. The controller obtains an output from the selected LAA generated using an input combining the task instruction, the observation, and an LAA-specific prompt template. The controller determines the action based on the output. The controller causes the action to be performed on the environment thereby causing the first state of the environment to change to a second state.

Abstract: A network device sends downlink control information to a first terminal device. The downlink control information includes: time domain resource information, where the time domain resource is a time domain resource on which a first data channel is located; and frequency domain resource information, where the frequency domain resources are a frequency domain resource on which the first data channel is located and a frequency domain resource on which a second data channel is located. The second data channel is located on a time domain resource different from the time domain resource on which the first data channel is located. The first terminal device receives, on the determined time domain resource and frequency domain resource, a signal that is located on the first data channel and that is from the network device.

Abstract: Provided herein are compounds, and pharmaceutically acceptable salts thereof, useful as KRAS inhibitors, methods of making and using the same (singly or in combination with additional agents), and pharmaceutical compositions thereof.

Abstract: Embodiments described herein provide for optimizing a language model (LM) agent. In at least one embodiment, and LM agent comprises an “actor” LM and a “retrospective LM which provides reflections on attempts by the actor LM. The reflections are used to update subsequent prompts to the actor LM. Optimizing the LM agent comprises fine-tuning parameters of the retrospective LM while keeping parameters of the actor LM frozen. A gradient may be determined by a change in reward from the environment based on actions taken by the actor LM with and without a reflection of the retrospective LM. Using this gradient, parameters of the retrospective LM may be updated via backpropagation.

Abstract: The present disclosure is related to systems and methods for processing X-ray images. A method for processing an X-ray image may include obtaining an X-ray image; and determining a metal image based on the X-ray image by using a trained metal detection model. The metal image includes information of a metal object in the X-ray image.

Abstract: A method for patterning a stack having a mask with a plurality of mask features is provided. A targeted deposition is provided, wherein the targeted deposition comprises a plurality of cycles, wherein each cycle comprises flowing a precursor to deposit a layer of precursor and targeted curing the layer of precursor, comprising flowing a curing gas, flowing a modification gas, forming a plasma from the curing gas and modification gas, and exposing the layer of precursor to the plasma providing a targeted curing, wherein plasma from the curing gas cures first portions of the layer of precursor and plasma from the modification gas modifies second portions of the layer of precursor, wherein the modification of the second portion reduces curing of the layer of precursor of the second portions of the layer of precursor. The stack is etched through the targeted deposition.

Abstract: The present disclosure relates to systems and methods for image processing. The system may obtain at least one image of an object. For each of the at least one image, the system may determine a recognition result of the image. The recognition result may include an image type of the image, a type of a lesion in the image, a region of the lesion in the image, and/or an image feature of the image. Further, the system may process the at least one image of the object based on at least one recognition result corresponding to the at least one image.

Abstract: Embodiments of a method performed in a User Plane Entity (UPE) in a core network to perform a user plane initiated Packet Forwarding Control Protocol (PFCP) association release procedure are provided. In some embodiments, the method comprises, for each affected PFCP session, sending, to a Control Plane Entity (CPE), a PFCP session report request comprising an indicator that the PFCP session is being removed and one or more usage reports for the PFCP session, and deleting the PFCP session. The method further comprises sending, to the CPE, a PFCP association update request comprising information that indicates that the PFCP association update request is to initiate release of the PFCP association and an indicator that all non-zero usage reports for the affected PFCP session(s) have been reported. The method further comprises receiving, from the CPE, a PFCP association release request and sending, to the CPE, a PFCP association release response.