Abstract: Various embodiments of the teachings herein include a cold exchange system. An example includes: thermal energy exchangers connected to a refrigerant pipe system; and a control system comprising: an orifice adjusting system including a valve and an actuator, the valve comprising a flow chamber with an adjustable orifice in the pipe; a position sensor to sense a position of the adjustable orifice and/or the actuator and generate a signal indicative of the sensed position; and a controller. The orifice adjusting system adjusts the adjustable orifice in response to a control signal. The control system uses a software-wise change of a characteristic curve of the orifice adjusting system. The position sensor operates using a static measurement principle. The controller compares the signal to a set position of the adjustable orifice and generates the control signal based on the comparison.

Abstract: A method and an apparatus for few-shot relation classification and filtering, and a device are provided. The method includes: constructing a coarse-grained filter for filtering an unlabeled corpus to obtain candidate instances with a same entity as a seed instance and with similar semantics to the seed instance; constructing a fine-grained filter for filtering the candidate instances to obtain a candidate instance with a same relation concept as the seed instance; defining the candidate instance as a positive instance set, and defining candidate instances with different relation concepts from the seed instance as a negative sample set; constructing a false positive instance correction module for adjusting and controlling a proportion of the negative sample set used by a classifier during training; training the classifier based on a small number of obtained labeled instances belonging to a newly emerging relation and the adjusted positive instance set and negative sample set.

Abstract: The present invention generally relates to systems and methods for imaging or determining nucleic acids, for instance, within cells. In some embodiments, the transcriptome of a cell may be determined. Certain embodiments are directed to determining nucleic acids, such as mRNA, within cells at relatively high resolutions. In some embodiments, a plurality of nucleic acid probes may be applied to a sample, and their binding within the sample determined, e.g., using fluorescence, to determine locations of the nucleic acid probes within the sample. In some embodiments, codewords may be based on the binding of the plurality of nucleic acid probes, and in some cases, the codewords may define an error-correcting code to reduce or prevent misidentification of the nucleic acids. In certain cases, a relatively large number of different targets may be identified using a relatively small number of labels, e.g., by using various combinatorial approaches.

Abstract: The present invention generally relates to systems and methods for imaging or determining nucleic acids, for instance, within cells. In some embodiments, the transcriptome of a cell may be determined. Certain embodiments are directed to determining nucleic acids, such as mRNA, within cells at relatively high resolutions. In some embodiments, a plurality of nucleic acid probes may be applied to a sample, and their binding within the sample determined, e.g., using fluorescence, to determine locations of the nucleic acid probes within the sample. In some embodiments, codewords may be based on the binding of the plurality of nucleic acid probes, and in some cases, the codewords may define an error-correcting code to reduce or prevent misidentification of the nucleic acids. In certain cases, a relatively large number of different targets may be identified using a relatively small number of labels, e.g., by using various combinatorial approaches.

Abstract: The present invention generally relates to systems and methods for imaging or determining nucleic acids, for instance, within cells. In some embodiments, the transcriptome of a cell may be determined. Certain embodiments are directed to determining nucleic acids, such as mRNA, within cells at relatively high resolutions. In some embodiments, a plurality of nucleic acid probes may be applied to a sample, and their binding within the sample determined, e.g., using fluorescence, to determine locations of the nucleic acid probes within the sample. In some embodiments, codewords may be based on the binding of the plurality of nucleic acid probes, and in some cases, the codewords may define an error-correcting code to reduce or prevent misidentification of the nucleic acids. In certain cases, a relatively large number of different targets may be identified using a relatively small number of labels, e.g., by using various combinatorial approaches.

Abstract: In a virtual object interaction method, a first virtual object in a target virtual state is displayed in a virtual scene. A target interaction interface is displayed when a first interaction is performed on the first virtual object. The target interaction interface includes at least one interaction option corresponding to the target virtual state. First target interaction information is displayed when a second interaction is performed on a first interaction option of the at least one interaction option. The first target interaction information includes an interaction effect associated with the first interaction option for the first virtual object.

Abstract: In a method for displaying messages in a virtual environment, a first view of a virtual scene is displayed including virtual objects corresponding to user accounts. A first message is received from a first user account corresponding to a first virtual object located outside the first view. A message notification graphical element is displayed in response to the first message. A first user input selecting the message notification graphical element is received. A second view of the virtual scene is displayed in response to the first user input. The second view includes the first virtual object and displays a message prompt corresponding to the first virtual object. The second view is different from the first view. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: In a method for displaying virtual characters in a virtual scene, the virtual scene is displayed in a first application on a first terminal. A first account corresponding to a first virtual character is logged into the first application. An interaction control element is displayed in the virtual scene. The interaction control element indicates interaction information between the first account and a second account in an interaction scene outside the virtual scene. In response to detecting a user operation on the interaction control element, a second virtual character corresponding to the second account is added to the virtual scene. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: The present invention generally relates to systems and methods for imaging or determining nucleic acids, for instance, within cells. In some embodiments, the transcriptome of a cell may be determined. Certain embodiments are directed to determining nucleic acids, such as mRNA, within cells at relatively high resolutions. In some embodiments, a plurality of nucleic acid probes may be applied to a sample, and their binding within the sample determined, e.g., using fluorescence, to determine locations of the nucleic acid probes within the sample. In some embodiments, codewords may be based on the binding of the plurality of nucleic acid probes, and in some cases, the codewords may define an error-correcting code to reduce or prevent misidentification of the nucleic acids. In certain cases, a relatively large number of different targets may be identified using a relatively small number of labels, e.g., by using various combinatorial approaches.

Abstract: A method and apparatus for training a few-shot event detection model based on multilingual prompt learning are provided, which includes: acquiring a training data set, applying a multilingual prompt model to any instance to obtain a predicted probability distribution of a trigger tag, so as to obtain a first loss; generating a contrastive instance and a bilingual instance, and performing multilingual prompt and cross-lingual encoding according to the input instance and the bilingual instance by applying the multilingual prompt model to obtain joint event characterization; performing event tag prediction on the joint event characterization by applying a two-level hierarchical prototype network model, and calculating a second loss; performing contrastive learning on respective instances by applying a quaternary contrastive learning module to obtain a third loss; determining a total loss of the few-shot event detection model according to respective losses, and performing model training optimization based on the

Abstract: A method for operating a three-dimensional (3D) memory device includes performing a first read operation for sensing a first memory cell of a first transistor string, and performing a subsequent second read operation for sensing a second memory cell of a second transistor string. Performing the first read operation includes applying a first bit line voltage to a first bit line, and maintaining the first bit line basically undischarged after data state of the first memory cell is detected.

Abstract: This application discloses a virtual character display method performed by a computer device and relates to the field of application programs supporting virtual worlds. The method includes: displaying a virtual world, the virtual world including at least two scene block buildings, and each of the scene block buildings being configured for displaying virtual characters in activity statuses of a same type; determining a first social status posted by a user of the computer device associated with a first user account of the virtual world; and displaying a first virtual character corresponding to the first user account in a first scene block building corresponding to the first social status, the first virtual character being in an activity status corresponding to the first social status and having a scene element matching the activity status corresponding to the first scene block building.

Abstract: The present disclosure provides a method for predicting, monitoring and increasing reliability for an in-service nuclear power plant.

Abstract: Provided are an image processing method and apparatus, an electronic device, and a storage medium. The method includes dividing a target virtual subject in a to-be-processed video frame into multiple skeleton chains, where each of the multiple skeleton chains includes at least one skeleton point; determining collision information between at least one skeleton point in the multiple skeleton chains and a colliding body and determining target display information of the at least one skeleton point in the to-be-processed video frame according to the collision information; and controlling the target virtual subject to be displayed in the to-be-processed video frame according to the target display information of the at least one skeleton point.

Abstract: The present invention relates to a method of assessing dynamic flexibility for a virtual power plant, which belongs to the technical field of operating and controlling a power system. The method equals a virtual power plant to an equivalent energy storage device and an equivalent generator and decouples a network constraint condition between the two types of devices through a Robust optimization method. Subsequently, by using a two-stage Robust optimization algorithm, parameters of the equivalent energy storage device and the equivalent generator are calculated and finally accurate depiction is realized on adjusting ability of a distributed resource, so as to provide a scientific decision basis for the virtual power plant to participate in grid control, such that it has a great value in an actual application.

Abstract: The present invention generally relates to systems and methods for imaging or determining nucleic acids, for instance, within cells. In some embodiments, the transcriptome of a cell may be determined. Certain embodiments are directed to determining nucleic acids, such as mRNA, within cells at relatively high resolutions. In some embodiments, a plurality of nucleic acid probes may be applied to a sample, and their binding within the sample determined, e.g., using fluorescence, to determine locations of the nucleic acid probes within the sample. In some embodiments, codewords may be based on the binding of the plurality of nucleic acid probes, and in some cases, the codewords may define an error-correcting code to reduce or prevent misidentification of the nucleic acids. In certain cases, a relatively large number of different targets may be identified using a relatively small number of labels, e.g., by using various combinatorial approaches.

Abstract: A device operation management method, system, and medium based on a device health degree are provided. The method includes: constructing a health degree evaluation model; collecting running values corresponding to a plurality of running status parameters in real time, and calculating a maintenance feature health degree corresponding to a maintenance component and a key feature health degree corresponding to a key and important component; determining a device health degree corresponding to a device; determining a health degree grade matching with the device health degree, and determining whether a running status corresponding to the device is healthy or not according to the health degree grade; and determining, in a case that the running status is not healthy, an attenuation interval where the maintenance component and the key and important component are located correspondingly, so as to take corresponding management strategies for the maintenance component or the key and important component.

Abstract: A data processing method includes: obtaining a directed acyclic graph for a target business and one or more target service output parameters for the target business in response to a business request for the target business; optimizing the directed acyclic graph based on context information, where the context information includes respective values of one or more service output parameters of each of one or more called microservices in a service pool; calling target microservices based on the optimized directed acyclic graph to obtain respective values of one or more service output parameters of each of the target microservices, and writing the obtained respective values of the one or more service output parameters of the each of the target microservices into the context information; and returning response data corresponding to the business request based on the context information and the one or more target service output parameters.

Abstract: Provided are an image processing method and apparatus, an electronic device, and a storage medium. The method includes determining a to-be-registered skeleton chain and a preset skeleton chain of a target part in a to-be-processed video frame; determining wrist or ankle state information of the to-be-registered wrist or ankle skeleton point according to first pose information of the to-be-registered wrist or ankle skeleton point and second pose information of the preset wrist or ankle skeleton point; determining finger or toe state information of the to-be-registered finger or toe skeleton point according to the wrist or ankle state information, third pose information of the to-be-registered finger or toe skeleton point, and fourth pose information of the preset finger or toe skeleton point; and displaying the target part in the to-be-processed video frame according to the wrist or ankle state information and the finger or toe state information.

Abstract: A method for predicting matching degree between a resume and a post, and a related device are provided in this disclosure. In the method for predicting the matching degree between the resume and the post, and the related device according to this disclosure, firstly the semi-structured keys and values in post information and resume information and their source are obtained. Then, the matching degree between the resume information and the post information is predicted by a prediction model including a cascaded pre-trained language model, a Transformer encoder and a single label classification model, based on the keys and values of a respective post information and resume information attribute, and corresponding source representations. Thus, by comprehensively searching internal interaction and external interaction of semi-structured multivariate attributes in person-post matching, the matching result is more accurate.