Abstract: A method includes receiving, at a computing device, a transcription of an audio recording, where the transcription is divided into a plurality of text sections. The method additionally includes associating one or more tags with each text section of the plurality of text sections, where each associated tag is extracted from text of the transcription. The method also includes selecting a subset of the plurality of text sections based at least on the one or more tags associated with each text section of the plurality of text sections. The method further includes providing, for display on the computing device, a representation of the transcription and a scroller interface, where the scroller interface allows for navigation to each text section in the subset based on user navigation to a tag associated with the text section.

Abstract: There is provided a semiconductor device including: a lead frame including a first opening portion; a resin filled in the first opening portion; and a semiconductor element electrically connected to the lead frame, wherein a side wall surface of the lead frame in the first opening portion has a larger average surface roughness than an upper surface of the lead frame.

Abstract: A paper shredder motor cooling assembly having a paper shredder motor coupled to a fan shaft, an enclosure surrounding the paper shredder motor and having selected input and selected output vents to control airflow to the paper shredder motor, a fan coupled to the fan shaft, communicating with the selected input vents or the selected output vents; when the paper shredder motor is operating, the rotor shaft turns the fan to generate a differential air pressure between the selected input vents and the selected output vents, removing heat from the motor. A duty cycle of greater than 50% is obtained. The fan can be coupled to the motor by speed increasing gearing, attached to the cutter blade assembly, such that the fan turns faster than the motor. The fan also can be attached to the motor shaft. An input fan and an output fan can be used.

Abstract: The present disclosure provides a support structure and a manufacturing method thereof, and a foldable display screen. The support structure includes: a first support plate made of flexible conductive material; at least two second support plates arranged on the first support plate with interval, the second support plates being made of rigid conductive material, at least a part of surface of each of the second support plates being in contact with the first support plate.

Abstract: A method for recovering a precious metal from a precious metal-containing waste catalyst includes the following steps: i) at least partially dissolving a precious metal-containing waste catalyst in an alkaline aqueous solution; ii) performing filtering to obtain a precious metal-containing filtrate and a precious metal; iii) treating the filtrate with a reducing agent; and iv) separating the precious metal from the filtrate after treatment, wherein step iii) is performed under a pressure of 8-12 bar at a temperature of 190-210° C. for 2-4 h. The method provided in the present invention has a simple process and a high recovery rate. The filtrate obtained from separation comprises a precious metal of 1 ppm or less by weight.

Abstract: A signal transmission apparatus provided in the present invention, comprising: a substrate, and a Bluetooth antenna and WIFI antennas which are provided on the same side edge of the substrate. At least two branches of WIFI antennas are provided, and the Bluetooth antenna and the WIFI antennas are provided at intervals. According to the present invention, the Bluetooth antenna and the WIFI antennas are provided on the same side edge of the substrate, and the Bluetooth antenna and the WIFI antennas are provided at intervals, so that all the antennas of the signal transmission apparatus are provided at the edge of a terminal board, thereby facilitating signal transmission, and solving the problem in the prior art that the Bluetooth antenna and the WIFI antennas are respectively provided on two side edges of the substrate so as to affect data transmission.

Abstract: A gamma fusion computing method based on gamma probe parameters is provided, which relates to the technical field of oil drilling equipment while drilling, including: acquiring measurement values of two gamma probes in one continuous rotation period, and utilizing a mean value and a variance of the measurement values in the one rotation period as an evaluation reference value of each gamma probe; determining whether the gamma probes are abnormal, if the two gamma probes are both normal, utilizing the weight values to perform weight fusion on the measured values measured by two gamma probes, and if there is a gamma probe that is abnormal, then multiplying the average of the measured values of the normal gamma probe in the rotation period by 2 as a gamma output value for output. The gamma fusion computing method is capable of accurately determine the abnormal conditions of the gamma probes and effectively resolve the abnormal output.

Abstract: A module structure, a touch module, a display module and a display apparatus are provided. The module structure includes: a substrate including a base substrate, wherein the base substrate includes a functional area and a bonding area on one side of the functional area; a plurality of bonding terminals are provided in the bonding area and arranged along a first direction and each bonding terminal extends along a second direction, and at least one floating terminal is provided in the bonding area and on at least one side of the plurality of bonding terminals in the first direction; the module structure further includes a flexible circuit board, including: a plurality of first connection terminals provided corresponding to the plurality of bonding terminals, and at least one second connection terminal provided corresponding to the at least one floating terminal.

Abstract: A method for training a multi-target image-text matching model and an image-text retrieval method are provided. The method for training the multi-target image-text matching model includes: obtaining a plurality of training samples that include sample pairs each including a sample image and a sample text, the sample image including a plurality of targets; obtaining, for each of the plurality of training samples, a heat map corresponding to the sample text in the training sample, the heat map representing a region of the target in the sample image that corresponds to the sample text; and training an image-text matching model based on a plurality of the sample texts and corresponding heat maps to obtain the multi-target image-text matching model.

Abstract: A system and a method for calibrating laser processing parameters comprises positioning a laser module at a first height from a work platform, capturing with a camera module an image of a first light spot projected on the work platform by a visible-light emitter to obtain a first position data of the first light spot on an image plane of a lens of the camera module at the first height; positioning the laser module at a second height from the work platform different from the first height, capturing with the camera module an image of a second light spot projected on the work platform by the visible-light emitter to obtain a second position data of the second light spot on an image plane at the second height, obtaining a conversion formula of an actual distance, and plugging the first and second position data into the conversion formula.

Abstract: Provided are indole alkaloid compounds in a noni enzyme, wherein the structural formula is shown in the following formula: Provided is a preparation method of the above-mentioned compound and application of the indole alkaloid compound in the noni enzyme in the preparation of an a-glucosidase inhibitor. The indole alkaloid compound in the noni enzyme provided by the invention has a simple preparation process, low cost and abundant raw material sources.

Abstract: An object area measurement method and an apparatus are provided, relating to the computer vision and deep learning technology. The method includes acquiring an original image with a spatial resolution, the original image including a target object; acquiring an object identification model including at least two sets of classification models; generating one or more original image blocks based on the original image; performing operations on each original image block: scaling each original image block at at least two scaling levels to obtain scaled image blocks with at least two sizes, the scaled image blocks respectively corresponding to the at least two sets of classification models, and inputting the scaled image blocks into the object identification model to obtain an identification result of the target object; and determining an area of the target object based on the respective identification results of the one or more original image blocks and the spatial resolution.

Abstract: This application provides a wearable device. The wearable device includes a bearing body and a Bluetooth headset. An accommodating slot is disposed on the bearing body, a first locking component is disposed on the Bluetooth headset, and a second locking component is disposed on the bearing body. The Bluetooth headset is accommodated in the accommodating slot. The first locking component can be locked with the second locking component. The Bluetooth headset includes an operation portion. The operation portion is configured to: unlock the first locking component and the second locking component, and push the unlocked Bluetooth headset out of the accommodating slot. The wearable device in this application can directly accommodate the Bluetooth headset, to provide more convenience to a user.

Abstract: A system for simultaneously measuring 3DOF LGEs by a laser and a method therefor, including a measuring unit and a target mirror unit, the measuring unit includes a laser emitting module, a polarizing beam splitter, a fixed reflector, a first photodetector, and an interference length measuring module; the target mirror unit includes a reflector; the laser emitting module generates an emitting light L1, the polarizing beam splitter is used for 1) “beam splitting” comprising splitting the emitting light L1 into a measuring light L11 and a reference light L12, the measuring light L11 is incident on the target mirror unit and is reflected back by the target mirror unit, so as to return to the measuring unit with a 3DOF LGEs signal; and 2) “beam combining” making the measuring light L11 and the reference light L12 superposed with each other at a spatial position, so as to form a combined beam L3; by measuring a position, frequency and phase drifts of the light L3, the 3DOF LGEs of a space object moving linearly al

Abstract: A method and system for simultaneously measuring multiple DOF GEs by a laser. The system comprises a measuring unit and a target mirror unit; the measuring unit comprises a laser emitting module, a polarizing beam splitter, a fixed reflector, a first ?/4 wave plate, a second ?/4 wave plate, a first polarizer, a first photodetector, an interference length measuring module and a 2D angle measuring module. The target mirror unit comprises a beam splitter and a reflector. The laser emitting module generates an emitting light L1. The polarizing beam splitter is used for (1) beam splitting, (2) beam combining, and (3) beam separating. The fixed reflector is used for reflecting backward the reference light L12 propagating only inside the measuring unit to return the reference light L12 to the polarizing beam splitter.

Abstract: A training method for a human body attribute detection model includes: acquiring positive sample sub-images and negative sample sub-images respectively corresponding to a plurality of human body attribute categories; determining a plurality of first annotation attributes respectively corresponding to the plurality of positive sample sub-images; and a plurality of second annotation attributes respectively corresponding to the plurality of negative sample sub-images; and training an artificial intelligence model according to the plurality of positive sample sub-images, the plurality of negative sample sub-images, the plurality of first annotation attributes and the plurality of second annotation attributes to obtain the human body attribute detection model, so that the human body attribute detection model obtained by training can effectively model fine-grained attributes of the human body.

Abstract: A method for recognizing a category of an image includes: acquiring a spectral image; training an image recognition model based on the spectral image, in which the image recognition model acquires a spectral semantic feature of each pixel, a minimum distance between each pixel and each category, and a spectral distance between a first spectrum of each pixel and a second spectrum of each category; splices them; and performs classification and recognition based on the spliced feature to output a recognition probability of each pixel under each category; determining a loss function of the image recognition model, adjusting the image recognition model based on the loss function, and returning to training the adjusted image recognition model based on the spectral image until training ends; recognizing a maximum recognition probability, output from a target image recognition model, and using a category corresponding to the maximum recognition probability as a target category.

Abstract: An apparatus comprising a regulator circuit that includes a linear input current regulating circuit configured to regulate input current to the regulator circuit when an output voltage of the regulator circuit is less than an input voltage of the regulator circuit; and a switching regulating circuit configured to regulate the input current when the output voltage is greater than the input voltage and less than a target regulated output voltage and regulate the output voltage when the output voltage reaches the target regulated output voltage. The linear input current regulating circuit is also used to disconnect the input from output during shutdown.

Abstract: There is provided a semiconductor device including: a lead frame including a first opening portion; a resin filled in the first opening portion; and a semiconductor element electrically connected to the lead frame, wherein a side wall surface of the lead frame in the first opening portion has a larger average surface roughness than an upper surface of the lead frame.