Abstract: A wearable device can provide an audio module that is operable to provide audio output from a distance away from the ears of the user. For example, the wearable device can be worn on clothing of the user and direct audio waves to the ears of the user. Such audio waves can be focused by a parametric array of speakers that limit audibility by others. Thus, the privacy of the audio directed to the user can be maintained without requiring the user to wear audio headsets on, over, or in the ears of the user. The wearable device can further include microphones and/or connections to other devices that facilitate calibration of the audio module of the wearable device. The wearable device can further include user sensors that are configured to detect, measure, and/or track one or more properties of the user.

Abstract: The present disclosure can provide a method, device, terminal and system for transmitting data. The method for transmitting data includes: receiving target data from a target gateway via a channel to be detected; detecting whether an interference signal from another terminal for data transmission with the target gateway exists on the channel to be detected within the preset frame interval duration; and stopping receiving the target data when the interference signal exists until the channel to be detected is determined to be idle, and continuing to receive the target data via the idle channel to be detected.

Abstract: A three-dimensional ultrasonic imaging method includes transmitting an ultrasonic wave to a fetal head; receiving an ultrasonic echo, obtaining an ultrasonic echo signal, and obtaining the three-dimensional volume data of the fetal head according to the ultrasonic echo signal; according to the characteristics of a median sagittal section of the fetal head, detecting the median sagittal section in the three-dimensional volume data; and displaying the median sagittal section.

Abstract: An interaction method and apparatus and an electronic device. The method comprises: displaying a first application interface, wherein the first application interface comprises an interface of a first application; and creating a second application account in the first application interface, wherein the second application account is used for logging in a second application. Therefore, a new interaction mode is provided.

Abstract: A method for determining a correction relating to a performance metric of a semiconductor manufacturing process, the method including: obtaining a set of pre-process metrology data; processing the set of pre-process metrology data by decomposing the pre-process metrology data into one or more components which: a) correlate to the performance metric; or b) are at least partially correctable by a control process which is part of the semiconductor manufacturing process; and applying a trained model to the processed set of pre-process metrology data to determine the correction for the semiconductor manufacturing process.

Abstract: A method and apparatus for training a defect location prediction model to predict a defect for a substrate location is disclosed. A number of datasets having data regarding process-related parameters for each location on a set of substrates is received. Some of the locations have partial datasets in which data regarding one or more process-related parameters is absent. The datasets are processed to generate multiple parameter groups having data for different sets of process-related parameters. For each parameter group, a sub-model of the defect location prediction model is created based on the corresponding set of process-related parameters and trained using data from the parameter group. A trained sub-model(s) may be selected based on process-related parameters available in a candidate dataset and a defect prediction may be generated for a location associated with the candidate dataset using the selected sub-model.

Abstract: The invention relates to the field of medicinal chemistry, and discloses a class of biphenyl derivatives with PD-1/PD-L1 inhibitory activity, and a preparation method and use thereof. The invention further discloses a composition containing the biphenyl derivatives with PD-1/PD-L1 inhibitory activity or pharmaceutically acceptable salts thereof and a pharmaceutically acceptable carrier, and applications of the composition in preparation of PD-1/PD-L1 inhibitors. The compounds of the invention are useful in the therapy used to treat tumors.

Abstract: Wireless earbuds may be provided with adjustable-shape housings. The housings may have bendable portions. Bendable metal members, hinges, or other flexible structures may be used in forming bendable structures for the earbuds. Electrical components may be covered by a layer of molded foam. A cover such as a fabric cover may be used to cover the molded foam. Spacer fabric or other soft material may be interposed between the fabric cover and the foam. The housing may be bent or otherwise adjusted between two or more states such as a normal, non-sleep, walking state in which the housing is expanded for normal operation while a user is sitting or walking and a sleep state in which the housing is bent to enhance comfort while sleeping. The wireless earbuds may have illumination systems, sensors, and other components.

Abstract: A method and apparatus for identifying locations to be inspected on a substrate is disclosed. A defect location prediction model is trained using a training dataset associated with other substrates to generate a prediction of defect or non-defect and a confidence score associated with the prediction for each of the locations based on process-related data associated with the substrates. Those of the locations determined by the defect location prediction model as having confidences scores satisfying a confidence threshold are added to a set of locations to be inspected by an inspection system. After the set of locations are inspected, the inspection results data is obtained, and the defect location prediction model is incrementally trained by using the inspection results data and process-related data for the set of locations as training data.

Abstract: Disclosed is a display apparatus. The display apparatus includes: a display panel and a backlight module; where the backlight module includes: a back plane including a plane portion and an inclined portion surrounding the plane portion, where the inclined portion inclines toward a light emitting side of the backlight module, and the inclined portion and the plane portion are arranged at a configured angle; a light board, arranged on the plane portion of the back plane; a split reflector plate, including a main reflector plate and side reflector plates; where the main reflector plate is arranged on a side of the light board facing away from the back plane, the side reflector plates are arranged on a side of the inclined portion of the back plane facing the light board, and splicing positions of the plurality of side reflector plates do not overlap with corner positions of the inclined portion.

Abstract: Wireless earbuds may be provided with adjustable-shape housings. The housings may have bendable portions. Bendable metal members, hinges, or other flexible structures may be used in forming bendable structures for the earbuds. Electrical components may be covered by a layer of molded foam. A cover such as a fabric cover may be used to cover the molded foam. Spacer fabric or other soft material may be interposed between the fabric cover and the foam. The housing may be bent or otherwise adjusted between two or more states such as a normal, non-sleep, walking state in which the housing is expanded for normal operation while a user is sitting or walking and a sleep state in which the housing is bent to enhance comfort while sleeping. The wireless earbuds may have illumination systems, sensors, and other components.

Abstract: A method for determining a root cause affecting yield in a process for manufacturing devices on a substrate, the method including: obtaining yield distribution data including a distribution of a yield parameter across the substrate or part thereof; obtaining sets of metrology data, each set including a spatial variation of a process parameter over the substrate or part thereof corresponding to a different layer of the substrate; comparing the yield distribution data and metrology data based on a similarity metric describing a spatial similarity between the yield distribution data and an individual set out of the sets of the metrology data; and determining a first similar set of metrology data out of the sets of metrology data, being the first set of metrology data in terms of processing order for the corresponding layers, which is determined to be similar to the yield distribution data.

Abstract: An electronic device may be formed from acoustically permeable textile layers and voice coil layers. The voice coil layers may output sound through the textile layers. The textile layers and voice coil layers may be foldable or bent in one or more directions to allow the electronic device to be placed in expanded, collapsed, or folded configurations to allow for improved portability. Additionally, the textile layers and voice coil layers may be folded or bent to place the electronic device in cylindrical, conical, and other configurations to allow for improved sound output from the voice coil layers. The electronic device may also include light-emitting components between the textile layers that emit light through one of the textile layers to form indicators or images for a user of the device. The electronic device may have a plurality of sensors to allow user interactions to control the output of the electronic device.

Abstract: A wearable device can provide an audio module that is operable to provide audio output from a distance away from the ears of the user. For example, the wearable device can be worn on clothing of the user and direct audio waves to the ears of the user. Such audio waves can be focused by a parametric array of speakers that limit audibility by others. Thus, the privacy of the audio directed to the user can be maintained without requiring the user to wear audio headsets on, over, or in the ears of the user. The wearable device can further include microphones and/or connections to other devices that facilitate calibration of the audio module of the wearable device. The wearable device can further include user sensors that are configured to detect, measure, and/or track one or more properties of the user.

Abstract: Generating a control output for a patterning process is described. A control input is received. The control input is for controlling the patterning process. The control input includes one or more parameters used in the patterning process. The control output is generated with a trained machine learning mod& based on the control input, The machine learning model is trained with training data generated from simulation of the patterning process and/or actual process data, The training data includes 1) a plurality of training control inputs corresponding to a plurality of operational conditions of the patterning process, where the plurality of operational conditions of the patterning process are associated with operational condition specific behavior of the patterning process over time, and 2) training control outputs generated using a physical model based on the training control inputs.

Abstract: A method to determine a curvilinear pattern of a patterning device that includes obtaining (i) an initial image of the patterning device corresponding to a target pattern to be printed on a substrate subjected to a patterning process, and (ii) a process model configured to predict a pattern on the substrate from the initial image, generating, by a hardware computer system, an enhanced image from the initial image, generating, by the hardware computer system, a level set image using the enhanced image, and iteratively determining, by the hardware computer system, a curvilinear pattern for the patterning device based on the level set image, the process model, and a cost function, where the cost function (e.g., EPE) determines a difference between a predicted pattern and the target pattern, where the difference is iteratively reduced.

Abstract: A wearable device can provide an audio module that is operable to provide audio output from a distance away from the ears of the user. For example, the wearable device can be worn on clothing of the user and direct audio waves to the ears of the user. Such audio waves can be focused by a parametric array of speakers that limit audibility by others. Thus, the privacy of the audio directed to the user can be maintained without requiring the user to wear audio headsets on, over, or in the ears of the user. The wearable device can further include microphones and/or connections to other devices that facilitate calibration of the audio module of the wearable device. The wearable device can further include user sensors that are configured to detect, measure, and/or track one or more properties of the user.

Abstract: An accessory for wireless earbuds can include a first receiving portion defining a first cavity sized to receive and retain a first earbud and a second receiving portion defining a second cavity sized to receive and retain a second earbud. Each receiving portion can include a charging component to electrically couple with the respective earbud. The accessory can include a flexible portion connected to the first receiving portion and the second receiving portion, the flexible portion at least partially defining an internal volume, and a battery disposed in the internal volume and electrically coupled with the charging components.

Abstract: Methods for training a process model and determining ranking of simulated patterns (e.g., corresponding to hot spots). A method involves obtaining a training data set including: (i) a simulated pattern associated with a mask pattern to be printed on a substrate, (ii) inspection data of a printed pattern imaged on the substrate using the mask pattern, and (iii) measured values of a parameter of the patterning process applied during imaging of the mask pattern on the substrate; and training a machine learning model for the patterning process based on the training data set to predict a difference in a characteristic of the simulated pattern and the printed pattern. The trained machine learning model can be used for determining a ranking of hot spots. In another method a model is trained based on measurement data to predict ranking of the hot spots.

Abstract: Disclosed is a transient-state THz spectrometer applied to cells and biological macromolecules, including a femtosecond laser amplifier. A femtosecond laser output by the femtosecond laser amplifier is divided into two beams of pump light and probe light after passing through a beam splitter of which a transmission-reflection ratio is 7:3, the pump light is focused to irradiate a gap between electrodes of a nonlinear photoconductive antenna and emit a terahertz wave after successively passing through a half wave plate, a silver-plated reflector and a first lens, the terahertz wave forms a terahertz wave collineation after successively passing through a second lens, a slab waveguide, a third lens and an ITO film, the terahertz wave collineation and the probe light form a probe light collineation of wavefront tilt which is perpendicularly incident on a ZnTe crystal and detected and recorded by using a CCD camera.