Abstract: Provided is a long-acting method for preventing or treating glucose metabolism disorders that includes administering a beta-lactam compound or a pharmaceutically acceptable salt thereof to a subject in need thereof. The method for preventing or treating glucose metabolism disorders has a long-acting effect that lasts more than two days even after medication has been stopped.

Abstract: The invention provides a method of generating an image recognition model and an electronic device using the method. The method includes the following. A source image is obtained; a first image is cut out of a first region of the source image to generate a cut source image; a preliminary image recognition model is pre-trained according to feature data and label data, in which the feature data is associated with the cut source image, and the label data is associated with the first image; and the pre-trained preliminary image recognition model is fine-tuned to generate the image recognition model. The method of generating the image recognition model and the electronic device provided by the invention may correctly restore an input image.

Abstract: An electronic device and a method for spectral model explanation are provided. The method includes: obtaining first labeled spectral data; storing a plurality of pipelines, selecting a selected pipeline from the pipelines, and generating a first measurement result corresponding to the first labeled spectral data according to the selected pipeline; and determining an important wavelength range corresponding to the selected pipeline according to the first measurement result.

Abstract: A method for optimizing an output result of a spectrometer and an electronic device using the method are provided. The method includes the following. First spectral data and second spectral data are obtained. A plurality of pipelines including a first pipeline and a second pipeline are obtained. The first pipeline is selected from the plurality of pipelines as a selected pipeline. The output result corresponding to the second spectral data is generated according to the selected pipeline. A performance of the first pipeline is calculated according to the first spectral data, and a first instruction is generated according to the performance. The selected pipeline is changed into the second pipeline according to the first instruction to update the output result.

Abstract: A method includes depositing a first dielectric layer in an opening, the first dielectric layer comprising a semiconductor element and a non-semiconductor element. The method further includes depositing a semiconductor layer on the first dielectric layer, the semiconductor layer comprising a first element that is the same as the semiconductor element. The method further includes introducing a second element to the semiconductor layer wherein the second element is the same as the non-semiconductor element. The method further includes applying a thermal annealing process to the semiconductor layer to change the semiconductor layer into a second dielectric layer.

Abstract: An electronic device and a method for training or applying a neural network model are provided. The method includes the following steps. An input data is received. Convolution is performed on the input data to generate a high-frequency feature map and a low-frequency feature map. One of upsampling and downsampling is performed to match a first size of the high-frequency feature map and a second size of the low-frequency feature map. The high-frequency feature map and the low-frequency feature map are concatenated to generate a concatenated data. The concatenated data is inputted to an output layer of the neural network model.

Abstract: The present invention provides a method for updating speech recognition system through air. Client ASR servers connect with a central ASR cloud server through Internet. New version of ASR system is stored in the central ASR cloud server for being selected and downloaded by the client ASR servers for using.

Abstract: The present invention provides a method for generating caption file through URL of an AV platform. By using various websites (such as YouTube, Instagram, Facebook, Twitter) for being inputted with the URL of a desired AV Platform and downloading a required AV file and inputting to an ASR (Automatic Speech Recognition) server according to the present invention. A speech recognition system in the ASR server can abstract an audio file from the AV file for a system operation to get a required caption file. Artificial Neural Networks are used in the present invention.

Abstract: The present invention provides a system for selecting a special speech recognition model through a general model of an AI speech recognition system for users to select an appropriate model. In addition to the AI speech recognition server of a general model, the present invention additionally prepares speech models in various fields, such as sports event model, financial news model, and game live model. Different users can choose different speech models according to their needs or fields, and they can get better services respectively. If the different users have no special choice, the AI speech recognition server of the general model provides speech recognition services for the different users.

Abstract: A method includes depositing a first dielectric layer in an opening, the first dielectric layer comprising a semiconductor element and a non-semiconductor element. The method further includes depositing a semiconductor layer on the first dielectric layer, the semiconductor layer comprising a first element that is the same as the semiconductor element. The method further includes introducing a second element to the semiconductor layer wherein the second element is the same as the non-semiconductor element. The method further includes applying a thermal annealing process to the semiconductor layer to change the semiconductor layer into a second dielectric layer.

Abstract: A cut-last process for cutting fin segments of a FinFET structure on a substrate utilizes a two-step process. After the fins are formed, an oxide material is deposited in the trenches of the FinFET structure. The oxide material can be an STI oxide or a low-stress dummy gapfill material. A fin segment can be removed by an etchant and can leave a concave shaped (such as a u-shape or v-shape) portion of silicon at the bottom of the fin. Where the oxide material is an STI oxide, the void left by removing the fin can be filled with replacement STI oxide. Where the oxide material is a dummy gapfill material, the dummy gapfill material can be removed and replaced with an STI oxide or converted to an STI oxide and filled with replacement STI oxide before or after the conversion.

Abstract: A device for inflating a tire includes a forward sleeve including an internally threaded head; an air intake assembly including a joining member secured to the forward sleeve and having a constricted section and an air inlet; an air intake extending out of the joining member at an acute angle and having an air channel for communicating with the air inlet through the constricted section, and a connector; and a rear sleeve secured to the joining member; and a valve assembly including a rod through both the rear sleeve and the joining member; a mounting sleeve in the forward sleeve and having a groove at a first end, the groove being in the internally threaded head, and a fitting hole communicating with the groove; a flexible tubular member in the mounting sleeve; a handle secured to the rod; and a snap ring on the rod.

Abstract: A tire pressure gauge includes a first tube having a first end secured to a connector; a joining member having a first end secured to a second end of the first tube; a check valve in the joining member and including and air outlet and an air inlet configured to be in fluid communication between the first tube and the air outlet; a spring biased pressure relief device projecting out of the joining member; a second tube threadedly secured to a second end of the joining member; a plunger in a first end of the second tube; a compression spring in the second tube and biased between the plunger and a second end of the second tube; and a rod-shaped measuring device through the compression spring, the measuring device having a first end secured to the plunger and a second end extending out of the second tube.

Abstract: A device for inflating a tire includes a forward sleeve including an internally threaded head; an air intake assembly including a joining member secured to the forward sleeve and having a constricted section and an air inlet; an air intake extending out of the joining member at an acute angle and having an air channel for communicating with the air inlet through the constricted section, and a connector; and a rear sleeve secured to the joining member; and a valve assembly including a rod through both the rear sleeve and the joining member; a mounting sleeve in the forward sleeve and having a groove at a first end, the groove being in the internally threaded head, and a fitting hole communicating with the groove; a flexible tubular member in the mounting sleeve; a handle secured to the rod; and a snap ring on the rod.

Abstract: The disclosure provides an automated model training method for a spectrometer, wherein the model training method is executed by a processor, and the model training method includes: obtaining spectral data; selecting at least one preprocessing model from one or a plurality of preprocessing models; selecting a first machine learning model from one or a plurality of machine learning models; establishing a pipeline corresponding to the at least one preprocessing model and the first machine learning model; and training an identification model corresponding to the pipeline according to the spectral data and the pipeline. The disclosure further provides a model training device and a spectrometer.

Abstract: The invention provides an automated model training method for training a pipeline for different spectrometers. The automated model training method includes: obtaining first spectral data corresponding to a first spectrometer, and second spectral data corresponding to a second spectrometer; and training the pipeline for the first spectrometer and the second spectrometer according to the first spectral data and the second spectral data, wherein the pipeline corresponds to at least one candidate recognition model. The invention also provides an automated model training device.

Abstract: The present disclosure relates to a semiconductor device and a manufacturing method, and more particularly to a semiconductor device having an enhanced gap fill layer in trenches. The present disclosure provides a novel gap fill layer formed using a multi-step deposition and in-situ treatment process. The deposition process can be a flowable chemical vapor deposition (FCVD) utilizing one or more assist gases and molecules of low reactive sticking coefficient (RSC). The treatment process can be an in-situ process after the deposition process and includes exposing the deposited gap fill layer to plasma activated assist gas. The assist gas can be formed of ammonia. The low RSC molecule can be formed of trisilylamin (TSA) or perhydropolysilazane (PHPS).

Abstract: A method includes depositing a first dielectric layer in an opening, the first dielectric layer comprising a semiconductor element and a non-semiconductor element. The method further includes depositing a semiconductor layer on the first dielectric layer, the semiconductor layer comprising a first element that is the same as the semiconductor element. The method further includes introducing a second element to the semiconductor layer wherein the second element is the same as the non-semiconductor element. The method further includes applying a thermal annealing process to the semiconductor layer to change the semiconductor layer into a second dielectric layer.

Abstract: Provided is a long-acting method for preventing or treating glucose metabolism disorders that includes administering a beta-lactam compound or a pharmaceutically acceptable salt thereof to a subject in need thereof. The method for preventing or treating glucose metabolism disorders has a long-acting effect that lasts more than two days even after medication has been stopped.

Abstract: Provided is a long-acting method for preventing or treating glucose metabolism disorders that includes administering a beta-lactam compound or a pharmaceutically acceptable salt thereof to a subject in need thereof. The method for preventing or treating glucose metabolism disorders has a long-acting effect that lasts more than two days even after medication has been stopped.