Abstract: An example system includes a signal generator to output signals based on multiple carrier frequencies; a wired transmission medium for carrying the signals, where the wired transmission medium is configured as open ended to produce reflections on the wired transmission medium of the signals; and a signal analyzer to receive the reflections and to determine a transmission time of a signal along the wired transmission medium based on the reflections. The signal analyzer is configured to perform operations that include performing a search based on an estimated transmission time of the signal along the wired transmission medium and the reflections to determine the transmission time. The search is to determine which of multiple candidate transmission times to select for the transmission time.

Abstract: An example system is configured to measure power based on a first signal in a first frequency band. The first signal includes an interference component of a second signal in a second frequency band that is adjacent to the first frequency band. The system includes a lowpass filter (LPF) having a fixed frequency. The system includes circuitry configured to perform operations that include changing a frequency using a local oscillator to shift a center frequency of the first signal into an LPF; obtaining measurements of power of the interference component at windows in the first frequency band where an attenuation of the LPF is at or above a predefined value; and determining the power of the interference component in the first frequency band based on the measurements so as to reduce an aliasing component in the first signal caused by the LPF.

Abstract: An image processing method and apparatus may be provided. The process may include, obtaining source compressed texture data of a target image by encoding the target image by using a source compressed texture format and determining a target compressed texture format adapted to the display card and a target compressed block size corresponding to the target compressed texture format. The process may also include obtaining a plurality of pieces of image texture data, based on decoding and aligning the source compressed texture data by using the target compressed block size, and obtaining target compressed texture data of the target image, based on transcoding each piece of the plurality of pieces of image texture data by using the target compressed texture format and the target compressed block size. The process may also include rendering the target image based on the target compressed texture data.

Abstract: A lithium-ion battery and a method of preparing the same are provided. The lithium-ion battery includes a cell and an electrolyte solution, and the cell includes a negative electrode sheet. The negative electrode sheet includes a negative electrode current collector, an active coating layer disposed on a surface of the current collector, and a protective coating layer disposed on a surface of the active coating layer. The protective coating layer is a solid-state electrolyte coating layer. The electrolyte solution contains a film-forming agent. The method includes the following steps. After the cell is placed in a casing and the electrolyte solution is injected, formation is performed on the lithium-ion battery. The formation includes: S1, performing charging to 3.4V to 3.75V with a constant current rate of 0.02C to 0.04C; and S2, performing charging to 3.75V to 4.25V with a constant current rate of 0.05C to 0.3C.

Abstract: Implementations are described herein for integrating phenotyping machine learning (ML) models with an agricultural knowledge graph (AKG) to facilitate streamlined and flexible phenotypic inferences. In various implementations, the AKG may be traversed based on input including image(s) of crops growing in an agricultural plot until a destination node is reached. The AKG may include a phenotypic taxonomy of nodes representing a taxonomic hierarchy of organisms, with the destination node corresponding to a level of the phenotypic taxonomy that is commensurate in scope with the input. The phenotypic taxonomy of nodes may provide access to a corresponding taxonomy of phenotyping ML models, each trained to generate phenotypic inference(s) at a specificity that corresponds to a level of the phenotypic taxonomy. The crop image(s) may be processed using the phenotyping ML model that is accessible via the destination node to generate phenotypic inference(s) about the agricultural plot.

Abstract: Embodiments described herein relate to an augmented expression system to generate and cause display of a specially configured interface to present an augmented reality perspective. The augmented expression system receives image and video data of a user and tracks facial landmarks of the user based on the image and video data, in real-time to generate and present a 3-dimensional (3D) bitmoji of the user.

Abstract: An example system includes a tester configured to test a device under test (DUT) and a connection setup that is connectable to, and disconnectable from, the DUT. The tester is configured to transmit radio frequency (RF) signals over the connection setup and to capture reflected signals from the connection setup. The reflected signals are based on the RF signals. One or more processing devices are configured to use a trained machine learning model to determine a quality of a connection between the test system and the DUT based on the reflected signals.

Abstract: The present invention provides use of a steroid compound in preparing drugs for preventing and/or treating presbyopia. The steroid compound provided by the present invention is represented by formula (I). The steroid compound has the effect of treating, alleviating and preventing presbyopia, and can greatly alleviate and/or cure presbyopia to improve vision.

Abstract: An example test system includes a signal receiver configured to receive (i) a reference signal and (ii) a test channel signal, and one or more processing devices configured to compare a version of the reference signal to a version of the test channel signal to determine whether there is a predefined amount of interference in the test channel signal.

Abstract: An example method includes following operations: (i) receiving a device signal from a device under test (DUT); (ii) setting an attenuation value; (iii) applying the attenuation value to the device signal to produce an attenuated device signal for a frequency spectrum analyzing device, where the frequency spectrum analyzing device produces a noise signal and intermodulation interference; (iv) obtaining a power spectral density value, where the power spectral density value comprises a power, at a frequency value, of a combined signal that is based on the attenuated device signal, the noise signal, and the intermodulation interference; (v) repeating operations (ii), (iii), and (iv) one or more times to produce multiple power spectral density values; (vi) repeating operations (i), (ii), (iii), (iv), and (v) one or more times to add power spectral density values to the multiple power spectral density values; and (vii) obtaining a power spectral density of the device signal.

Abstract: An example method includes the following operations: (i) receiving a device signal from a device under test (DUT); (ii) setting an attenuation value; (iii) applying the attenuation value to the device signal to produce an attenuated device signal for a frequency spectrum analyzing device, where the frequency spectrum analyzing device produces a noise signal; (iv) obtaining a power spectral density value using the frequency spectrum analyzing device, where a power spectral density comprises a power, at a frequency value, of a combined signal that is based on the attenuated device signal and the noise signal; (v) repeating operations (ii), (iii), and (iv) one or more times to produce multiple power spectral density values; (vi) repeating operations (i), (ii), (iii), (iv), and (v) one or more times to add power spectral density values to the multiple power spectral density values; and (vii) obtaining a power spectral density of the device signal.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for accessing a set of images depicting at least a portion of a face. A set of facial regions of the face is identified, each facial region of the set of facial regions intersecting another facial region with at least one common vertex that is a member of a set of facial vertices. For each facial region of the set of facial regions, a weight formed from a set of region coefficients is generated. Based on the set of facial regions and the weight of each facial region of the set of facial regions, the face is tracked across the set of images.

Abstract: Embodiments of this application provide a data processing method performed by a computer device, where the method includes: obtaining, in response to a login trigger event for a target application at a terminal device, an environment identification parameter used for identifying a running environment of the target application at the terminal device; obtaining, according to the environment identification parameter, a login entry information set related to the target application from an application server, the login entry information set including login entry information of login platforms of at least two operating systems; rendering login entry options of the login platforms of the at least two operating systems according to login entry information in the login entry information set; and returning the rendered login entry options to the terminal device for display in a user interface at the terminal device.

Abstract: A pharmaceutical composition, a preparation method therefor and an application thereof. The pharmaceutical composition comprises the following components: a compound represented by formula I, hydroxypropyl methyl cellulose, benzalkonium chloride, and a pH regulator. The pharmaceutical composition can be used for preparing drugs for preventing or treating cataracts. The pharmaceutical composition has excellent stability in respect of exposure to light and to high temperatures, can be stored at room temperature, is convenient for patients to use, has pH and osmotic pressure close to those in the intraocular environment, is uniform in particle size distribution, and thus can give the patients good comfort.

Abstract: The present invention relates to a joint automatic audio visual driven facial animation system that in some example embodiments includes a full scale state of the art Large Vocabulary Continuous Speech Recognition (LVCSR) with a strong language model for speech recognition and obtained phoneme alignment from the word lattice.

Abstract: The invention provides novel compositions and linking configurations for an oligonucleotide to be conjugated to a ligand for targeted in vivo delivery of an oligonucleotide. The invention further provides use of the resulting compounds and pharmaceutical compositions thereof in preparation of a medicament effective for treating a disease or condition.

Abstract: A vehicle-road cooperation precise positioning method based on an electrified highway includes measuring position information of its own positioning point by using a roadside positioning module; determining absolute coordinates of all points on a communication line according to the position information; acquiring a contact signal when a vehicle-road connection information system comes into contact with the communication line, and determining position information of a contact point according to the contact signal and the absolute coordinates; and based on a conversion algorithm, determining current vehicle mass center position coordinate information according to the position information of the contact point and parameter information of the vehicle-road connection information system.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for transforming a motion style of an avatar from a first style to a second style. The program and method include: retrieving, by a processor from a storage device, an avatar depicting motion in a first style; receiving user input selecting a second style; obtaining, based on the user input, a trained machine learning model that performs a non-linear transformation of motion from the first style to the second style; and applying the obtained trained machine learning model to the retrieved avatar to transform the avatar from depicting motion in the first style to depicting motion in the second style.

Abstract: The present invention relates to a joint automatic audio visual driven facial animation system that in some example embodiments includes a full scale state of the art Large Vocabulary Continuous Speech Recognition (LVCSR) with a strong language model for speech recognition and obtained phoneme alignment from the word lattice.

Abstract: An example system includes a signal generator to output signals based on multiple carrier frequencies; a wired transmission medium for carrying the signals, where the wired transmission medium is configured as open ended to produce reflections on the wired transmission medium of the signals; and a signal analyzer to receive the reflections and to determine a transmission time of a signal along the wired transmission medium based on the reflections. The signal analyzer is configured to perform operations that include performing a search based on an estimated transmission time of the signal along the wired transmission medium and the reflections to determine the transmission time. The search is to determine which of multiple candidate transmission times to select for the transmission time.