Abstract: Methods, systems, and devices for wireless communications at a user equipment (UE) are described. A UE may identify one or more measurement parameters to use for input in a machine learning (ML) model. In some cases, the measurement parameters may include reference signal received power measurements or a past set of timing advance (TA) values for a specific node. The UE may predict the TA based on inputting the measurement parameters into the ML model. The UE may transmit an uplink communication from the UE to a network entity using the TA predicted from the ML model. In some examples, the UE may transmit a capability report to indicate that the UE may support autonomous update of the TA based on the predictions of the TA values produced from the ML model.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit, to a network node, an event trigger request based at least in part on an occurrence of a triggering event, the event trigger request activating a beam report configuration at the UE in lieu of a machine learning (ML) model for beam prediction at the UE. The UE may transmit, to the network node, a beam measurement report based at least in part on the beam report configuration. Numerous other aspects are described.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, a configuration for applying weighted averaging to layer 1 (L1) reference signal received power (RSRP) measurements. The UE may receive, from the network node, a plurality of reference signals during a period of time, the plurality of reference signals being quasi-co-located with each other. The UE may obtain weighted averaged L1 RSRP measurements associated with the plurality of reference signals based at least in part on the configuration, the weighted averaged L1 RSRP measurements being available as input to a machine learning (ML) model for beam prediction. Numerous other aspects are described.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, a configuration of a beam prediction model that is trained to predict beam measurements for a set of beams. The UE may receive, from the network node, an indication of a subset of beams, from the set of beams, that are to be associated with a measurement report. The UE may transmit, to the network node, the measurement report indicating one or more predicted beam measurements that are based at least in part on an output of the beam prediction model, the output of the beam prediction model including beam predictions associated with the set of beams, and the one or more predicted beam measurements including information associated with the subset of beams. Numerous other aspects are provided.

Abstract: A method of wireless communication is performed by a user equipment (UE). The method receives, from a network, a configuration for a decision making module. The method also executes the decision making module to determine a selection parameter for a configuration of at least one machine learning module. The method selects the configuration of the at least one machine learning module based on the selection parameter. Further, the method reports, to the network, a decision resulting from executing the decision making module.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit, to a network entity, a first message indicating data collected at the first UE and geo-location information of the first UE. The first UE may receive, from the network entity, a second message indicating a sidelink grant for transmitting a sidelink message on a set of resources and a source identifier and destination identifier associated with the sidelink message. The first UE may transmit the sidelink message on the set of resources to at least a second UE, the sidelink message including the source identifier and the destination identifier. The second UE may transmit, to the network entity, an indication of calculated geo-location information for the first UE and a received power measurement of the sidelink message based on the sidelink message.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first user equipment (UE) may transmit, to a second UE, an indication of at least one sidelink unified transmission configuration indicator (TCI) state, wherein the at least one sidelink unified TCI state includes at least one of: a joint forward link and reverse link TCI state, a separate forward link TCI state, or a separate reverse link TCI state. The first UE may communicate with the second UE on at least one of the forward link or the reverse link based at least in part on the indication of the sidelink unified TCI state. Numerous other aspects are described.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive multiple reference signals (RSs). The UE may measure the multiple RSs to generate measurements for the multiple RSs. The UE may encode the measurements using a machine learning model to generate codewords representing a quantized version of the measurements. The UE may transmit the codewords. Numerous other aspects are described.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a transmitter user equipment (UE) may identify a plurality of beams that are configured for transmitting one or more sidelink communications via one or more sidelink resources. The UE may transmit sidelink control information that indicates to reserve the one or more sidelink resources and that includes an explicit beam indication or a beam hopping indication associated with the plurality of beams. Numerous other aspects are described.

Abstract: Approaches, techniques, and mechanisms are disclosed for packaging electric power components. A power module comprises: a three-dimensional (3D) cooling structure that has a plurality of planar sides; a first set of mountable power components that are mounted on a first planar side in the plurality of planar sides of the 3D cooling structure; a second set of mountable power components that are mounted on a second planar side in the plurality of planar sides of the 3D cooling structure. The second planar side represents an opposing side, of the 3D cooling structure, to the first planar side. The 3D cooling structure includes an interior space containing one or more cooling channels in which cooling fluid is to flow. The interior space of the 3D cooling structure is spatially surrounded by other planar sides in the plurality of planar sides in combination with the first and second planar sides.

Abstract: The present invention relates to a pyrimidine derivative, a method for preparing same and use thereof in medicine. In particular, the present invention relates to a pyrimidine derivative represented by general formula (I), a method for preparing same and a pharmaceutically acceptable salt thereof as well as use thereof as a therapeutic agent, in particular as a FGFR4 kinase inhibitor, definitions of each substituent in the general formula (I) being the same as those defined in the description.

Abstract: The present invention relates to a pyrimidine derivative, a method for preparing same and use thereof in medicine. In particular, the present invention relates to a pyrimidine derivative represented by general formula (I), a method for preparing same and a pharmaceutically acceptable salt thereof as well as use thereof as a therapeutic agent, in particular as a FGFR4 kinase inhibitor, definitions of each substituent in the general formula (I) being the same as those defined in the description.

Abstract: The present invention provides a method for biological and chemical synthesis of tetrodotoxin, specifically comprising the following steps: using cheap and easily available benzyl acetate as a raw material, and performing biological fermentation to obtain an optically pure intermediate ((5S, 6R)-5, 6-dihydroxycyclohexa-1, 3-dienyl) methyl acetate (formula I); and performing a series of chemical conversions on the intermediate to finally obtain tetrodotoxin at a purity of 95% or more without purifying the product. The present invention has the potential of large-scale production, and is an excellent alternative to the existing extraction method from a pufferfish.

Abstract: A power conversion system including a triple active bridge (TAB) is provided. The system includes a power factor correction (PFC) module and a three port converter (TPC) module, with no post-regulation or additional stages required. The TPC module includes an OBC full-bridge and an APM full-bridge, each being inductively coupled to the output of the PFC full-bridge, thereby forming the TAB. The OBC full-bridge is adapted to convert an AC input into a high-voltage DC output for a high-voltage battery, and the APM full-bridge is adapted to convert an AC input into a low-voltage DC output for a low-voltage battery. The power conversion system can accept a single-phase AC input and a three-phase AC input, has a lower current stress as compared to prior art TPCs, and freely transfers power from among any ports.

Abstract: Systems, devices, and methods for a reactor feed distribution system. In some aspects, a multi-section pipe and an orifice plate. The multi-section pipe includes a first pipe section that defines a first channel and a second pipe section that defines a second channel. Second pipe section includes a first portion extending along a first longitudinal axis, a second portion extending along a second longitudinal axis that is angularly disposed relative to the first longitudinal axis, and a curved portion connecting the first portion to the second portion. The orifice plate is configured to be positioned at an inlet or a first outlet of the first pipe section. The orifice plate includes a maximum transverse dimension that is less than a minimum transverse dimension of each of the first and second channel.

Abstract: A method and apparatus for processing human body model data, an electronic device and a storage medium are provided. The method includes: obtaining 3D human body model data, and classifying the 3D human body model data into multiple data sets according to a predetermined classification condition, wherein the predetermined classification condition includes medical anatomy category information and art resource category information; determining, according to each of the data sets, a duplicate resource in the data set, and reorganized data sets where the duplicate resource is removed; and packing each of the duplicate resource and the reorganized data sets into a respective data package, and storing all of the data packages.

Abstract: The present invention discloses a method for rapid on-site detection of fentanyl analogs using a miniature mass spectrometer, comprising the following steps: (1) selecting a spotting plate; (2) loading a sample: depositing the sample and 3-nitrobenzonitrile solution in acetonitrile on the spotting plate to form a crystalline mixture; (3) carrying out analysis and detection: setting the parameters of the miniature mass spectrometer, placing the crystalline mixture on the spotting plate in close proximity to the inlet of the miniature mass spectrometer, and facilitating the ionization of the crystalline mixture for the analysis and detection of fentanyl analogs. The method for rapid on-site detection of fentanyl analogs using a miniature mass spectrometer provided by the present invention requires no extraction solvent, no voltage, no laser, no gas, and the method is simple, rapid, and suitable for rapid on-site detection of fentanyl analogs.

Abstract: A health management system, including: a health assessment module configured to obtain human health-related health parameter information of a user, and generate a health condition assessment result on the basis of the health parameter information; a health intervention module configured to generate a health management plan on the basis of the health condition assessment result; a human body model generation module configured to generate a human body model that can be displayed on a display interface; and a human body information display model configured to display, on the basis of a received display instruction, the human body model on the display interface based on human body tissue layers, human body systems, or human body parts. In addition, also provided are a human body information display method and a human body model generation method applicable to the health management system.

Abstract: A battery charger for an electric vehicle supplies DC output power to an output bus for supplying power to a battery. The battery charger includes an AC/DC converter using switches to convert AC power from an AC source to a DC link voltage upon a DC link bus. A DC link capacitor allows a ripple in the DC link voltage that is greater than in conventional charger designs. A DC/DC stage includes a DC/AC converter including one or more switches to selectively conduct current from the DC link bus to supply an AC power to a transformer. The switches of the DC/AC converter are mounted to an insulated metal substrate that is in thermal contact with a transformer housing for dissipating heat therefrom. A controller controls one or more switches of the DC/AC converter and varies a switching frequency responsive to the ripple of the DC link voltage.

Abstract: Provided are a method, device, system for modeling a three-dimensional head model, and a storage medium. The modeling method includes: acquiring at least one facial image of a user; acquiring facial contour feature points in the at least one facial image of the user, the facial contour feature points being capable of characterizing a contour of a face or contours of five sense organs of the user; selecting a standard three-dimensional head model according to the facial contour feature points; acquiring facial local feature points in the at least one facial image of the user, the facial local feature points being capable of reflecting refined features of face shape and refined features of the five sense organs of the user; correcting the selected standard three-dimensional head model according to the facial local feature points, to obtain a three-dimensional head model conforming to facial features of the user.