Abstract: The present disclosure discloses a combined apparatus for experimentation on different storage modes of carbon dioxide, which comprises a displacement device, a storage reaction device and a measuring device, wherein the displacement device comprises a displacement pump, and an intermediate oil-water container and an intermediate carbon dioxide container that are arranged in parallel, the displacement pump is connected to a first end of the parallel connection of the intermediate oil-water container and the intermediate carbon dioxide container, and an inlet end of the storage reaction device is connected to a second end of the parallel connection of the intermediate oil-water container and the intermediate carbon dioxide container; the measuring device comprises a weigher, a first pressure detector, a gas-liquid separator, a gas meter and a mineral analyzer, wherein the first pressure detector is arranged in the intermediate oil-water container, and the gas-liquid separator is connected to the outlet end of

Abstract: Provided are systems for determining adversarial examples that include at least one processor to determine a first additional input from a plurality of additional inputs based on a proximity of the first additional input to an initial input, determine a second additional input from the plurality of additional inputs based on a proximity of the second additional input to the first additional input, generate a first vector embedding, a second vector embedding and a third vector embedding based on the second additional input, generate a first relational embedding, a second relational embedding, and a third relational embedding based on the third vector embedding and the first vector embedding, concatenate the first relational embedding, the second relational embedding, and the third relational embedding to provide a concatenated version, and determine whether the first input is an adversarial example based on the concatenated version. Methods and computer program products are also provided.

Abstract: A method of performing person re-identification includes: obtaining a person feature vector according to an extracted image containing a person; obtaining state information of the person according to a state of the person in the extracted image; comparing the person feature vector with a plurality of registered person feature vectors in a database; when the person feature vector successfully matches a first registered person feature vector of the plurality of registered person feature vectors, identifying the person as a first identity corresponding to the first registered person feature vector; and selectively utilizing the person feature vector to update one of the first registered person feature vector and at least one second registered person feature vector that correspond to the first identity according to the state information.

Abstract: Disclosed is linoleic acid isomerases and their application in production of conjugated linoleic acid, which belongs to the technical fields of protein engineering and microbial engineering. The linoleic acid isomerase derived from Bifidobacterium is used to produce the conjugated linoleic acid. The recombinant E. coli containing the linoleic acid isomerase of the invention is added into a reaction system containing linoleic acid and react for 3 h to produce conjugated linoleic acids. The conversion rate of the conjugated linoleic acid of the invented method ranges from 12.1% to 42.1%, and the percentage of cis9, trans11-CLA in the conjugated linoleic acid can reach 84.3% to 89.1%. The invention provides a method for using microorganisms to produce conjugated linoleic acids with high safety and yield where cis9, trans11-CLA isomer is the major form in the conjugated linoleic acid products.

Abstract: A semiconductor device is provided, which includes a semiconductor stack and a first contact structure. The semiconductor stack includes an active layer and has a first surface and a second surface. The first contact structure is located on the first surface and includes a first semiconductor layer, a first metal element-containing structure and a first p-type or n-type layer. The first metal element-containing structure includes a first metal element. The first p-type or n-type layer physically contacts the first semiconductor layer and the first metal element-containing structure. The first p-type or n-type layer includes an oxygen element (O) and a second metal element and has a thickness less than or equal to 20 nm, and the first semiconductor layer includes a phosphide compound or an arsenide compound.

Abstract: A side by side image detection method and an electronic apparatus using the same are provided. The side by side image detection method includes the following steps. A first image with a first image size is obtained. A second image with a second image size that conforms to a side-by-side image format is detected within the first image by using a convolutional neural network model.

Abstract: Embodiments of the disclosure provide a method, apparatus, device and storage medium for feature aggregation. The method comprises: extracting, with an image encoder, an image feature representation of an input image; for each image feature element set of a plurality of image feature element sets divided along a predetermined dimension of the plurality of dimensions in the image feature representation, selecting a first number of image feature elements from the image feature element set based on a ranking of corresponding image feature elements in the image feature element set, and determining an aggregated image feature element by aggregating the selected first number of image feature elements; and determining an aggregated image feature representation of the input image based on a plurality of aggregated image feature elements determined for the plurality of image feature element sets, respectively.

Abstract: A method of fabricating a device includes providing a fin extending from a substrate in a device type region, where the fin includes a plurality of semiconductor channel layers. In some embodiments, the method further includes forming a gate structure over the fin. Thereafter, in some examples, the method includes removing a portion of the plurality of semiconductor channel layers within a source/drain region adjacent to the gate structure to form a trench in the source/drain region. In some cases, the method further includes after forming the trench, depositing an adhesion layer within the source/drain region along a sidewall surface of the trench. In various embodiments, and after depositing the adhesion layer, the method further includes epitaxially growing a continuous first source/drain layer over the adhesion layer along the sidewall surface of the trench.

Abstract: The present disclosure relates to the technical field of vehicles, and provides a discharging vehicle and a vehicle charging system. The discharging vehicle includes a discharging control device, a first power battery, a motor, and a motor control circuit. A first electrode and a second electrode of the first power battery are respectively connected to a first input terminal and a second input terminal of the motor control circuit. The discharging control device realizes, by using the motor control circuit, DC step-down charging of the second power battery by the first power battery.

Abstract: Embodiments of the disclosure provides technologies for image segmentation. The method includes: extracting an image feature representation of a target image using a trained image encoder; for each of a plurality of classes, generating, using a trained text encoder, a text feature representation corresponding to a name of the class, and determining a candidate segmentation map for the target image and a class confidence of the class based on the image feature representation and the text feature representation; selecting, from the plurality of classes, at least one class related to the target image based on a plurality of class confidences determined respectively for the plurality of classes; and determining a target segmentation map for the target image based on the at least one candidate segmentation map and the at least one class confidence determined for the at least one selected class.

Abstract: A feature quantity based on the strength of a correlation between each of a plurality of different visual stimulus patterns corresponding to a plurality of different sound sources and a pupil diameter change amount of a user is obtained, and a destination to which the user pays auditory attention for a sound from the sound source is estimated using the feature quantity.

Abstract: This disclosure concerns a method of forming a porous material, comprising impregnating a porous polymer with a pore-forming agent in order to form an impregnated polymer, and at least partially carbonising the impregnated polymer at a temperature of about 150° C. to about 500° C. in order to form the porous material. The porous material is characterised by a crystallinity of about 10% to about 70% relative to the porous polymer. This disclosure also concerns the porous material thereof.

Abstract: For transformer fault detection, a method generates a transition region that separates a health region and a fault region in a two-dimensional feature space of two feature indicators for a plurality of operation conditions using a fault detection model for a power transformer type. The method determines the feature indicators of a given power transformer of the power transformer type. The method determines whether the feature indicators in the transition region satisfy a fault condition. The method predicts an inter-turn short fault for the given power transformer in response to satisfying the fault condition or the feature indicators being in the fault region.

Abstract: Systems, devices, methods, and computer readable medium for evaluating visual quality of digital content are disclosed. Methods can include identifying content assets including one or more images that are combined to create different digital components distributed to one or more client devices. A quality of each of the one or more images is evaluated using one or more machine learning models trained to evaluate one or more visual aspects that are deemed indicative of visual quality. An aggregate quality for the content assets is determined based, at least in part, on an output of the one or more machine learning models indicating the visual quality of each of the one or more images. A graphical user interface of a first computing device is updated to present a visual indication of the aggregate quality of the content assets.

Abstract: A sidelink communication method performed by a first user equipment (UE) includes: receiving, from one or more UEs, an indication to transmit a plurality of physical sidelink feedback channel (PSFCH) communications including one or more single-bit PSFCH communications and one or more multi-bit PSFCH communications; and transmitting, to the one or more UEs based on the indication in a single PSFCH occasion, a first number of single-bit PSFCH communications of the one or more single-bit PSFCH communications, and a second number of multi-bit PSFCH communications of the one or more multi-bit PSFCH communications, wherein the first number of single-bit PSFCH communications and the second number of multi-bit PSFCH communications are based on a PSFCH capability configuration.

Abstract: This disclosure provides systems, methods, and devices for wireless communication that support mechanisms for sidelink channel occupancy time (COT) sharing request signaling in a wireless communication system. A sidelink transmitting user equipment (UE) transmits a COT sharing request to a sidelink initiator UE. The COT sharing request indicates to the initiator UE to initiate sharing of a COT acquired by the initiator UE with the transmitting UE. The initiator UE, in response to receiving the COT sharing request, determines to acquire the COT, and initiates COT sharing by transmitting, to the transmitting UE, COT sharing information including information to facilitate access to the COT by the transmitting UE. The transmitting UE, based on the COT sharing information received from the initiator UE, access the sidelink channel during the COT and transmits data over the sidelink channel.

Abstract: An intelligent system for gene synthesis and monoclonal picking, comprising: a core operation module for performing operations associated with gene synthesis and monoclonal picking; and a control system for controlling at least a part of operations of corresponding compartments of the core operation module. The core operation module at least includes: a liquid operation compartment for performing operations of mixing gene fragments and mixing synthetizing reagents with biological samples in the process of gene synthesis; a purification compartment for performing purification operations on nucleic acid products created after the mixing; an amplification compartment for performing amplification operations and error correction operations on fragments of the nucleic acid products and performing culturing and amplification operations on vectors; and a monoclonal picking compartment for performing monoclonal picking operations on purified and cultured nucleic acid products.

Abstract: A method, apparatus, device, and medium for managing a model based on a distance between samples. In one method, a basic sample for training a contrastive learning model and a plurality of negative samples associated with the basic sample is obtained; a sequence of the plurality of negative samples is generated based on distances between the plurality of negative samples and the basic sample; the sequence of the plurality of negative samples is divided into a first set of negative samples and a second set of negative samples; an update parameter for updating the contrastive learning model is determined based on the basic sample, the first set of negative samples and a first weight of the first set of negative samples, and the second set of negative samples and a second weight of the second set of negative samples, the first weight is greater than the second weight.

Abstract: An additive method for preparing a large die blank for isothermal forging comprising preparing a plurality of titanium-zirconium-molybdenum alloy plate-shaped elements of a preset shape; preparing a plurality of foil-shaped intermediate layers of pure tantalum, a niobium-tungsten alloy and a tantalum-tungsten alloy of a preset shape; forming an assembly of a preset configuration, such that the foil-shaped intermediate layers are sandwiched between the titanium-zirconium-molybdenum alloy plate-shaped elements; applying an axial pressure to the assembly under high-temperature vacuum to perform diffusion connections to obtain a primary blank; subjecting the primary blank to a homogenization treatment under a high temperature, vacuum or inert gas protection to homogenize the structure and components at a connection interface in the primary blank; and cooling the homogenized primary blank to obtain a die blank.

Abstract: A computer system can perform a semi-supervised machine learning processes to cluster a plurality of entities within a population based on their features and associated labels. The computer system can generate visualization data representing the clusters of entities and associated labels for displaying on a user interface. A user can review the clustering of entities and use the user interface to add or modify the labels associated with a particular entity or set of entities. The computer system can use the user's feedback to update the labels and then re-determine the clustering of entities using the semi-supervised machine learning process with the updated labels as input. As such, the computer system can use the user's feedback to improve the accuracy of the machine learning model without requiring a larger amount of labeled input data.