Abstract: Some aspects of the disclosure provide a method for camera operation control in an electronic device. The method includes obtaining, based on a plurality of frames associated with a target time slice, a first target parameter to be met by a camera of a virtual camera system in the target time slice. Then, the method includes determining a target operation speed of the camera in the target time slice at least partially based on the first target parameter and a time-speed change magnification curve, and controlling the camera to operate based on the target operation speed. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: A semiconductor structure and a method for forming semiconductor structure are provided. The semiconductor structure includes a substrate and a dielectric layer on the substrate, the dielectric layer containing gate openings. Each gate opening includes a first region and a second region on the first region. The first region has a first projection on the substrate, the second region has a second projection on the substrate. An area of the second projection is larger than an area of the first projection, and the first projection is located within the second projection. A gate layer is located in each first region and one corresponding second region.

Abstract: The present invention discloses a cleaning liquid for a ship ballast water treatment filter, an online cleaning device and an online cleaning method. The online cleaning device comprises a filter cleaning pipeline and a cleaning liquid preparation tank located in the filter cleaning pipeline. The cleaning liquid preparation tank is provided with a cleaning liquid outlet and a cleaning liquid reinjection opening. The filter cleaning pipeline comprises a cleaning liquid injection pipeline located between the cleaning liquid outlet of the cleaning liquid preparation tank and a filter water inlet, and a cleaning liquid reinjection pipeline located between a filter water outlet and a cleaning liquid reinjection opening of the cleaning liquid preparation tank. The cleaning liquid prepared in the cleaning liquid preparation tank is injected into the filter through the cleaning liquid injection pipeline and is re-injected into the cleaning liquid preparation tank through the cleaning liquid reinjection pipeline.

Abstract: An apparatus comprises a processing device configured to receive a service request associated with a given asset, to obtain a log file associated with the given asset, to split the log file into log segments, to generate sets of log pattern identifiers for the log segments, and to determine risk scores for the log segments utilizing a machine learning model that takes as input the sets of log pattern identifiers and provides as output information characterizing risk of the log segments. The processing device is also configured to identify critical areas of the log file based at least in part on the determined risk scores, a given critical area comprising a sequence of log segments having determined risk scores above a designated risk score threshold. The processing device is further configured to analyze the identified critical areas to determine remedial actions to be applied for resolving the service request.

Abstract: Disclosed is a bending-resistant nerve catheter and a preparation method and application thereof, and relates to the technical field of tissue engineering materials. The catheter of the present application includes an inner layer, a middle layer and an outer layer, and each layer uses raw materials of biodegradable polymers; among them, the inner layer includes a smooth surface inner layer, an oriented microchannel inner layer or a fibrous inner layer, the middle layer is a fibrous middle layer with crossing angles, the middle layer is prepared by entangling micron fibers with a certain angular arrangement, and the outer layer is made of randomly entangled polymer fibers and is tightly bonded to the middle layer.

Abstract: An ophthalmic information processing apparatus includes a feature amount extractor and a classifier. The feature amount extractor is configured to extract a feature amount of each of two or more images different from each other of a subject’s eye. The classifier is configured to output two or more confidence score information for estimating classification result of a pathological condition of a disease of the subject’s eye, based on the feature amounts of each of the two or more images extracted by the feature amount extractor and one or more background data representing a state of the subject or a state of the subject’s eye.

Abstract: A system for controlling the amount of a liquid carbon source released to a constructed wetland, includes: a carbon source pool, a carbon source pipe, a peristaltic pump, a programmable logic controller (PLC), a computer, a first flow meter, a first chemical oxygen demand (COD) sensor, a first total nitrogen (TN) sensor, a second TN sensor, a second COD sensor, an inlet pipe, and an outlet pipe. The first flow meter, the first COD sensor, and the TN sensor are disposed on the inlet pipe; the second COD sensor and the second TN sensor are disposed on the outlet pipe; the inlet pipe and the outlet pipe are connected to the constructed wetland; the carbon source pipe is connected to the carbon source pool via the peristaltic pump; the computer, the peristaltic pump, the first flow meter, and all sensors are connected to the PLC controller.

Abstract: A database system as well as a method and an apparatus for querying a database are disclosed herein. In one embodiment, a system comprises a master database, at least one slave database, and a query processing unit. The master database has a data connection with the slave database, and the slave database has a data connection with the query processing unit. The query processing unit is configured to split a query request into query operation instructions having non-overlapping query ranges, send the split query operation instructions to the same or different slave databases to perform the query operations, and return the query results. The disclosed embodiments improve query efficiency.

Abstract: Embodiments in the present description provide an operation request processing method and apparatus, and a device, and a readable storage medium, and a system. In the present embodiment, after obtaining an operation request for a data table, a read-write node can return a request processing completion message to a requester in time without waiting for all read-only nodes; a locking operation is performed on the data table, a log of locking the data table is written into a redo log file; and after status information of the log of locking is written into a status record, a monitoring processing process can achieve log playback monitoring of all the read-only nodes by using the status record and the log of locking. Thus, an asynchronous processing mechanism is achieved, and the stability and efficiency of operation request execution are improved.

Abstract: Provided is a display substrate. The display substrate includes: a base substrate, provided with a display region; a plurality of pixel units, disposed in the display region; a barrier structure; surrounding the display region; a first organic film layer, disposed on one side of the base substrate; and at least one first power line, disposed on a side, proximal to the base substrate, of the first organic film layer, wherein one end of the first power line is disposed on a side, distal from the display region, of the harrier structure and configured to receive a first power signal, and the other end of the first power line is disposed on a side, proximal to the display region of the barrier structure and connected to the plurality of pixel units.

Abstract: An ophthalmic information processing apparatus includes an acquisition unit and a disease estimation unit. The acquisition unit is configured to acquire a plurality of images with different cross-sectional orientations from each other of a subject’s eye. The disease estimation unit is configured to output estimation information for estimating whether or not the subject’s eye is a glaucoma eye from the images, using a plurality of learned models obtained by performing machine learning for each type of the images.

Abstract: An ophthalmic information processing apparatus includes a determiner and a detector. The determiner is configured to determine a presence or absence of a disc hemorrhage for a front image of a fundus of a subject's eye, using a disc hemorrhage determination model obtained by performing machine learning using a plurality of fundus images labeled with labels indicating the presence or absence of a disc hemorrhage as first teaching data. The detector is configured to detect a disc hemorrhage region depicted in the front image that is determined to have the disc hemorrhage, using a disc hemorrhage region detection model obtained by performing machine learning using a plurality of pairs of image groups as second teaching data, each pair having a front image of a fundus and a disc hemorrhage region image representing a disc hemorrhage region depicted in the front image.

Abstract: Embodiments of the present disclosure include a method, an electronic device, and a computer program product for training a failure analysis model. In a method for training a failure analysis model in an illustrative embodiment, at least one set of log files including multiple preprocessed log files is obtained, the at least one set of log files including a marked failure cause of a storage system, and preprocessed log files in the multiple preprocessed log files including one or more potential failure causes of the storage system and scores associated with the potential failure causes; a failure cause of the storage system is predicted according to a failure analysis model and based on the potential failure causes and the scores in the multiple preprocessed log files; and parameters of the failure analysis model are updated based on a probability that the predicted failure cause is the marked failure cause.

Abstract: A splicing pipe for installing a door or window includes a first frame profile, a second frame profile, a heat insulation strip and at least two fasteners. A first clamping groove is formed on each of two sides of the first frame profile, and a second clamping groove is formed on each of two sides of the second frame profile. The first clamping groove and the second clamping groove are both configured to be connected to the door or window having glass. At least one of the first frame profile and the second frame profile on the same side is provided with an installation groove, and the fastener is inserted into the installation groove. The splicing pipe provided has the advantages of simple splicing operation and easy implementation, which can not only improve the splicing speed, but also guarantee the performance of the doors or windows after being spliced.

Abstract: Embodiments of the present disclosure include a method, an electronic device, and a computer program product for training a failure analysis model. In a method for training a failure analysis model in an illustrative embodiment, at least one set of log files including multiple preprocessed log files is obtained, the at least one set of log files including a marked failure cause of a storage system, and preprocessed log files in the multiple preprocessed log files including one or more potential failure causes of the storage system and scores associated with the potential failure causes; a failure cause of the storage system is predicted according to a failure analysis model and based on the potential failure causes and the scores in the multiple preprocessed log files; and parameters of the failure analysis model are updated based on a probability that the predicted failure cause is the marked failure cause.

Abstract: A soundproof door system includes a chute; a door body, where a bottom of the door body is inserted into the chute and able to slide along the chute; a first roller disposed on the bottom of the door body and supported on a bottom wall of the chute; a first soundproof plate provided with a first end connected to the door body and a second end abutting against an inner wall of the chute; a second soundproof plate provided with a third end connected to the door body and a fourth end abutting against the inner wall of the chute; and the first end and the third end are respectively located on two sides of the door body, and the second end and the fourth end are respectively located on both sides of the door body.

Abstract: The present invention discloses a decorative film comprising a colored polymer film layer and a micro/nano-structure layer on a surface of the colored polymer film layer, wherein the micro/nano-structure layer comprises a plurality of colored polymer micro/nano-structures. Due to the colored polymer film layer and the plurality of colored polymer micro/nano-structures, a color with an optical effect can be displayed, the color modulation is reduced and the process is simplified.

Abstract: Embodiments of the present disclosure provide a thin film transistor, a method for manufacturing a thin film transistor, an array substrate, a display panel, and a display device. The thin film transistor includes: a base substrate; an active layer, an insulating layer, and a source-drain layer sequentially stacked on the base substrate, wherein the source-drain layer is electrically connected to the active layer through a via hole penetrating the insulating layer; and a transition layer arranged between the source-drain layer and the active layer at a position of the via hole, wherein the transition layer covers a bottom of the via hole and covers at least part of a sidewall of the via hole, and the transition layer comprises elements of the active layer and elements of a part of the source-drain layer, the part of the source-drain layer being in contact with the transition layer.

Abstract: A contribution identification method for noise at a boundary of an urban substation in the present disclosure includes the following steps: describing site elements and surrounding environmental elements of an urban substation; measuring and recording a background noise value at each boundary of the urban substation; determining an orientation of a specific sound source of the urban substation, and setting a corresponding measurement point at each boundary of the urban substation; obtaining a spectrum of each specific sound source; analyzing a contribution of each intra-substation sound source of the urban substation to noise at the boundary of the substation; analyzing a noise level of each sound source measurement point in the urban substation; recording measured data during noise measurement, and correcting a noise measurement result; and generating a test report.

Abstract: Image processing is described. An example method includes generating a feature extraction layer portion of an image classification model based on a deep neural network (DNN) model, and extracting features of a group of images by using the feature extraction layer portion. The method further includes training an output layer portion of the image classification model according to the features of training images in the group of images and classification labels of the training images. The method further includes generating the image classification model by combining the feature extraction layer portion and the output layer portion. Embodiments of the present disclosure implement a lightweight artificial intelligence (AI) solution on a storage system. An expanded storage system can facilitate the generation of AI applications and assist in training an image classification model more quickly, and the obtained image classification model can also produce high accuracy on a small training set.