Abstract: A semiconductor structure and a manufacturing method therefor are disclosed. The semiconductor structure includes an interposer, where the interposer includes a deep trench capacitor array and an isolation structure. The deep trench capacitor array includes multiple deep trench capacitors, and the isolation structure at least partially surrounds a deep trench capacitor on the outmost edge side of the deep trench capacitor array.

Abstract: The present disclosure provides a multi-modal multi-view classification method for echocardiograms based on a deep learning algorithm, including: collecting videos and images of multi-modal multi-view adult echocardiograms, and preprocessing the videos and images; annotating the preprocessed videos and images of adult echocardiograms to generate an adult echocardiogram dataset; dividing the adult echocardiogram dataset into a training set, a validation set, and a test set; constructing an adult echocardiogram view classification model based on a ResNet network, training the model using the training set, and selecting an optimal classification model using the validation set; evaluating performance of the optimal adult echocardiogram view classification model based on the test set; and inputting a to-be-tested image or video into the adult echocardiogram view classification model to obtain a classification result.

Abstract: The present disclosure discloses a light-transmittance device and a use method, and belongs to the technical field of manufacturing of rotary equipment. The light-transmittance device includes cylinder sections, a two-column vertical lathe, and a vertical lathe platform; T-shaped supporting fixtures are arranged inside the cylinder sections; light-transmittance tools are arranged at center positions of the cylinder sections; two ends of the cylinder sections are provided with rolling ring base plates which are paired and mounted with the cylinder sections; a roller frame is arranged on a lower side of each group of cylinder section; furthermore, the rolling frames are slidably connected with a rigid rail; a theodolite is arranged on one side close to the cylinder sections; and a triangular bracket and a light-transmittance platform are arranged on a lower side of a shell of the theodolite.

Abstract: The invention relates to a method for providing an estimation of a vehicle geometry of a surrounding vehicle (40). In a first step of the method, an image (I) of at least a portion of the surrounding vehicle (40) is received, the portion comprising a license plate (42) affixed to the surrounding vehicle (40). Next, the license plate (42) is detected within the received image (I) and the alphanumeric identification code of the license plate (42) is extracted. Subsequently, a vehicle geometry parameter (P) being linked to the alphanumeric identification code is requested from a database (36) via a wireless data connection (38). Thereafter, the vehicle geometry parameter (P) is received from the database (36) via the wireless data connection (38), and the vehicle geometry is estimated based on the received vehicle geometry parameter (P). Moreover, a system (12) for providing an estimation of a vehicle geometry of the surrounding vehicle (40) and a vehicle (10) comprising such as system are described.

Abstract: A method for screening a candidate for efficacy as an asphaltene stabilizer comprises: forming a reconstituted oil by dispersing an asphaltene-containing solid in a hydrocarbon fluid; adding an asphaltene stabilizer candidate to the reconstituted oil to give an additized oil; and analyzing the stability of the asphaltenes in the additized oil. The method may be used to select a candidate for use as an asphaltene stabilizer during crude oil production, transportation or processing.

Abstract: A method for screening a candidate for efficacy as an asphaltene stabilizer comprises: forming a reconstituted oil by dispersing an asphaltene-containing solid in a hydrocarbon fluid; adding an asphaltene stabilizer candidate to the reconstituted oil to give an additized oil; and analyzing the stability of the asphaltenes in the additized oil. The method may be used to select a candidate for use as an asphaltene stabilizer during crude oil production, transportation or processing.