Abstract: An electronic device may include wireless circuitry with a polar amplifier that outputs a radio-frequency signal. The amplifier may include a first and second common source stages and first and second cascode stages coupled between a power supply voltage and a reference voltage. The power supply voltage may carry an amplitude modulation for the radio-frequency signal. Gate terminals of the common source stages may receive local oscillator signals that carry a phase modulation for the radio-frequency signal. A dynamic charge pump may be coupled between the power supply input and gate terminals of the first cascode stage. Dynamic level shifters may be coupled to the charge pump. The level shifters and the charge pump may produce a voltage at the gate terminals of the first cascode stage that tracks the power supply voltage without clipping, even as the power supply voltage drops to magnitudes close to zero.

Abstract: An electronic device may include wireless circuitry with a polar power amplifier. Gate terminals of transistors in a PMOS portion of the amplifier may receive a first local oscillator (LO) signal. Gate terminals of transistors in an NMOS portion of the amplifier may receive a second LO signal. A tunable clock generator may generate the first and second LO signals based on a binary control signal received from a physical layer (PHY) controller. The PHY controller may supply the binary control signal to weighting/enable transistors in inverter banks of the tunable clock generator to dynamically adjust a duty cycle ratio between the first and second LO signals over time. The PHY controller may perform this adjustment based the characteristics of the radio-frequency signal in a manner that optimizes linearity and power consumption by the amplifier over time, even as the characteristics change.

Abstract: A retrieval method for surface ozone based on surface ultraviolet radiation irradiance includes: establishing a deep learning model; establishing a statistical relationship between input variables including surface UV irradiance, column ozone, elevation of a geolocation, year/month/date, latitude and longitude, and surface ozone concentrations at monitoring sites; matching a site-monitored surface ozone concentration with the surface UV irradiance and column ozone; training the deep learning model; estimating surface ozone concentrations in regions with available satellite observations based on the trained deep learning model; and inputting surface UV irradiance, column ozone, elevation of a geolocation, year/month/date, latitude and longitude into the trained deep learning model to estimate surface ozone concentration; evaluating an air quality based on the surface ozone concentration of the geolocation.

Abstract: An automated interleaved optical module testing method is provided, wherein the automated interleaved optical module testing method interleaves the testing process of at least two optical modules to improve the testing efficiency of optical modules, and can be automated based on machines to reduce errors and labor costs of manual operation.

Abstract: A method for preparing a cementing material by sintering and activating coal gangue is provided. The method includes the following steps: (1) crushing coarse-grained coal gangue to predetermined particle size; (2) fully and evenly mixing the crushed coal gangue, the composite additive and water according to a set proportion, and granulating the obtained mixture; (3) distributing, igniting and exhausting the granulated pellets in the sintering machine to obtain decarburized coal gangue sinter; (4) cooling the decarburized coal gangue sinter in a cooler; (5) crushing and finely grinding the cooled coal gangue sinter to obtain a coal gangue active mixture; and (6) mixing the coal gangue active admixture, the fly ash, the quicklime and the gypsum according to a predetermined ratio, and then carrying out injection moulding, mold removal and curing to obtain the coal gangue-based cementitious material.

Abstract: This application discloses an object detection method and a related device thereof. The method of this application includes: When object detection is to be performed on a target image, the target image including a to-be-detected object may be first obtained and then input to a target model. Next, the target model may perform feature extraction on the target image, to obtain a first feature of the target image. Then, the target model may encode the first feature of the target image, to obtain a second feature of the target image. Subsequently, the target model may decode the second feature of the target image based on a preset query vector, to obtain a third feature of the target image. Finally, the target model may obtain a detection result of the target image based on the third feature.

Abstract: Wireless circuitry may be provided with amplifier circuitry that includes a set of amplifiers on first and second signal lines and matching circuitry that couples the set of amplifiers to an output. The matching circuitry may include a transformer having a primary winding that extends between the signal lines and a secondary winding that extends between the output and a first terminal. The matching circuitry may include first and second capacitors coupled between the signal lines. The amplifier circuitry may be operable in a full power mode and a reduced power mode. The matching circuitry may include a first switch coupled between the first and second capacitors, a second switch that couples the first terminal to ground, and a third switch that couples a second terminal on the secondary winding to ground. The first, second, and third switches may be adjusted between the full and reduced power modes.

Abstract: A PROTAC target molecule generation method, system, and storage medium where the method includes obtaining parameters; extract the target protein ligand structure corresponding to the first parameter in the target protein ligand database to form a first subset, extract the degradation agent fragment structure corresponding to the parameter in the degradation agent fragment database to form a second subset, and extract the linker fragment structure corresponding to the parameter in the linker fragment database to form a third subset; permute and combine each fragment structure in the subsets to generate PROTAC target molecules. The extract required fragment structures from various databases, then permute and combine the three groups of fragment structure, and use big data and computational processing to be used for experiments, avoids the omission of the combination of structural fragments, improves the accuracy of molecular design and speeds up drug research and development processes.

Abstract: A system and method for time-lapse seismic data acquisition and processing using permanent or semi-permanent seismic sources, combined with a specialized processing workflow. The method is designed to reliably detect time-lapse changes in the structure and physical properties of subsurface formations over time by providing highly repeatable seismic surveys. This method includes optimizing the seismic source system based on the specific environment to determine the ideal sweep setups; establishing an efficient sweep schedule to maximize data quality while minimizing operational costs; creating a baseline seismic model by capturing seismic data over a predetermined time frame prior to production activities; and continuously acquiring and comparing time-lapse seismic data with the baseline to detect variations in seismic attributes that reflect structural or physical property changes in subsurface formations.

Abstract: An organic aluminum sol and a preparation method thereof related to chemical technology fields. Organic mixed acids are used to react with aluminum powder to prepare organic aluminum sol as a precursor for preparing alumina fiber. The aluminum powder, formic acid, and oxalic acid are used as raw materials, the oxalic acid and the formic acid are firstly mixed to be even according to a preset ratio to obtain a mixed acid solution, and the aluminum powder is then completely reacted with the mixed acid solution to obtain an aluminum carboxylate solution under a condensation reflux condition, and the aluminum carboxylate solution is finally filtered to obtain the aluminum carboxylate sol that is clear and transparent. A chemical formula of a composition of the organic aluminum sol is expressed as: Al(OH)x(HCOO)y(COO—COO)z, wherein 0<x<2, 0<y<2, and 0<z<1.

Abstract: In certain examples, methods and semiconductor structures are directed to an integrated circuit (IC) having a diamond layer section and a GaN-based substrate being monolithically integrated or bonded as part of the same IC. In a specific example, the GaN-based substrate includes GaN, AlxGayN (0<x<1; x+y=1) and a dielectric layer, and a diamond layer section which may include polycrystalline diamond. The IC includes: a GaN-based field effect transistor (FET) integrated with a portion of the GaN-based substrate, and a diamond-based FET integrated with a portion of the diamond layer section, the diamond FET being electrically coupled to the GaN-based FET and situated over or against a surface region of the GaN-based substrate.

Abstract: A method for preparing a cementing material by sintering and activating coal gangue is provided. The method includes the following steps: (1) crushing coarse-grained coal gangue to predetermined particle size; (2) fully and evenly mixing the crushed coal gangue, the composite additive and water according to a set proportion, and granulating the obtained mixture; (3) distributing, igniting and exhausting the granulated pellets in the sintering machine to obtain decarburized coal gangue sinter; (4) cooling the decarburized coal gangue sinter in a cooler; (5) crushing and finely grinding the cooled coal gangue sinter to obtain a coal gangue active mixture; and (6) mixing the coal gangue active admixture, the fly ash, the quicklime and the gypsum according to a predetermined ratio, and then carrying out injection moulding, mold removal and curing to obtain the coal gangue-based cementitious material.

Abstract: A PROTAC target molecule generation method, system, and storage medium where the method includes obtaining parameters; extract the target protein ligand structure corresponding to the first parameter in the target protein ligand database to form a first subset, extract the degradation agent fragment structure corresponding to the parameter in the degradation agent fragment database to form a second subset, and extract the linker fragment structure corresponding to the parameter in the linker fragment database to form a third subset; permute and combine each fragment structure in the subsets to generate PROTAC target molecules. The extract required fragment structures from various databases, then permute and combine the three groups of fragment structure, and use big data and computational processing to be used for experiments, avoids the omission of the combination of structural fragments, improves the accuracy of molecular design and speeds up drug research and development processes.

Abstract: A retrieval method for surface ozone based on surface ultraviolet radiation irradiance includes: establishing a deep learning model; establishing a statistical relationship between input variables including surface UV irradiance, column ozone, elevation of a geolocation, year/month/date, latitude and longitude, and surface ozone concentrations at monitoring sites; matching a site-monitored surface ozone concentration with the surface UV irradiance and column ozone; training the deep learning model; estimating surface ozone concentrations in regions with available satellite observations based on the trained deep learning model; and inputting surface UV irradiance, column ozone, elevation of a geolocation, year/month/date, latitude and longitude into the trained deep learning model to estimate surface ozone concentration; evaluating an air quality based on the surface ozone concentration of the geolocation.

Abstract: An imputation method for surface ultraviolet irradiance based on feasible cloud information and machine learning includes: establishing a deep learning model, wherein the deep learning model is designed to be a two-layered stacking ensemble learning model; constructing a first layer of the deep learning model as combination of multiple fundamental machine learning models; constructing a second layer of the deep learning model as Lasso model, which integrates an output from the first layer to obtain a final retrieval result; matching the surface ultraviolet irradiance with input features comprising cloud and meteorological information according to the temporal and spatial variables; establishing a statistical relationship between the surface ultraviolet irradiance and by training the deep learning model; and estimating the surface ultraviolet irradiance based on the trained deep learning model in regions with missing satellite observations of the surface ultraviolet irradiance.