Abstract: The present disclosure a method for preparing killer immunocytes and its application in lung cancer. Autologous immunocytes of the cancer patient can be activated in vitro by the VAK technique, and by re-infusing these activated immunocytes into the patient's body, such that the immunocytes achieve a powerful tumor killing effect, especially in the secondary activation technology of immunocytes and viruses mixed twice, which can make immunocytes maintain a higher killing activity. VAK cells kill the cancer cells and meanwhile promote release of tumor associated antigen, being beneficial to inducing a specific anti-tumor immunological reaction.

Abstract: A computer-implemented method, system and computer program product for detecting or predicting system faults in cooling systems. A model (deep learning model) is built and trained to detect or predict system faults in a cooling system based on acoustic emission signals (both in temporal and frequency domains) and/or imaging signals. Upon training the model to detect or predict system faults in a cooling system, acoustic emission signals may be obtained non-intrusively from the cooling system using acoustic emission sensors, hydrophones and/or microphones. Additionally, upon training the model to detect or predict system faults in a cooling system, imaging signals (e.g., boiling images) may be obtained non-intrusively from the cooling system using optical sensors (e.g., high-speed camera). The trained model may then detect or predict a system fault in the cooling system based on such information (acoustic emission signals, including in temporal and frequency domains, and/or the imaging signals).

Abstract: According to implementations of the subject matter described herein, a solution is proposed for three-dimensional (3D) object detection. In this solution, feature representations of a plurality of points are extracted from point cloud data related to a 3D object. Initial feature representations of a set of candidate 3D objects are determined based on the feature representations of the plurality of points. Based on the feature representations of the plurality of points and the initial feature representations of the set of candidate 3D objects, a detection result for the 3D object is generated by determining self-correlations between the set of candidate 3D objects and cross-correlations between the plurality of points and the set of candidate 3D objects. In this way, without grouping points into candidate 3D objects, the 3D object in a 3D scene can be localized and recognized based on the self-correlations and cross-correlations.

Abstract: Provided in the present invention are a video transmission quality evaluation and optimization method and system based on user behavior. The method comprises: establishing an exit rate model according to a session duration of a user watching a video, and a playing state of each second; calculating a state transition probability according to playing states of every two adjacent seconds; according to the transition probability and the exit rate, calculating mathematical expectation values of stay durations corresponding to positions, network connection types, CDNs and bitrates within different time periods; and according to a stay duration expectation, for the position and a network connection type of a given user, selecting a bitrate and a CDN which allow the longest stay duration expectation. By means of the present invention, a model is established on the basis of two user behavior metrics, i.e.

Abstract: Provided in the present invention are a video transmission quality evaluation and optimization method and system based on user behavior. The method comprises: establishing an exit rate model according to a session duration of a user watching a video, and a playing state of each second; calculating a state transition probability according to playing states of every two adjacent seconds; according to the transition probability and the exit rate, calculating mathematical expectation values of stay durations corresponding to positions, network connection types, CDNs and bitrates within different time periods; and according to a stay duration expectation, for the position and a network connection type of a given user, selecting a bitrate and a CDN which allow the longest stay duration expectation. By means of the present invention, a model is established on the basis of two user behavior metrics, i.e.

Abstract: A method of sequencing DNA is disclosed. A single-stranded DNA molecule is wrapped around a carbon nanotube to form a DNA/carbon nanotube hybrid structure. The DNA/carbon nanotube hybrid structure is then moved across a nanofluidic chip. The nanofluidic chip includes graphene sensors and a nanochannel extending across the graphene sensors. The graphene sensors are positioned between opposing electrodes. A power source applies a constant voltage to the graphene sensors between the electrodes. The electrical current through the graphene sensors between the electrodes is measured as the DNA/carbon nanotube hybrid structure moves across the graphene sensors. The composition of the bases of the single-stranded DNA molecule is determined based on the measured electrical current.

Abstract: A method for preparing a hybrid filter on a chip with IPD and FBAR, includes: preparing a leakage isolation layer on a supporting substrate by deposition; obtaining an inductor layer on the leakage isolation layer, leaving a window at a bottom of a groove surrounding a cross section of a TGV inductor stack on a mask, and patterning an inductor metal simultaneously; forming a first insulating layer on the inductor metal, and forming lead through holes by photolithography; repeating steps and alternately to obtain a three-layer stacked TGV inductor; depositing a second insulating layer on the TGV inductor; depositing two capacitor layers on the second insulating layer, and depositing a third insulating layer between the two capacitor layers to form an MIM capacitor; and preparing a BAW resonator on the MIM capacitor, and connecting the TGV inductor, the MIM capacitor and the BAW resonator through the lead through holes.

Abstract: A method, computer system, and computer program product are provided for generating transcriptions of multimedia data using a context-based machine learning model. Multimedia data including video data and audio data associated with the video data is analyzed to identify one or more features in the video data. One or more candidate words are obtained based on the one or more features identified in the video data. A particular candidate word of the one or more candidate words is determined to match a particular utterance in the audio data. The particular candidate word is selected for the particular utterance based on the audio data.

Abstract: An on-line detection system for defects of an MEA is provided. The detection system includes a workbench, two connecting rods are arranged inside the workbench, two ends of the two connecting rods are both connected to two side walls of the workbench by means of bearings, and conveying rollers are fixedly arranged outside the two connecting rods in a sleeving manner. One side of the workbench is fixedly provided with a first electric motor, and an output end of the first electric motor is fixedly connected to one of the connecting rods. Belt pulleys are fixedly arranged outside the two connecting rods in a sleeving manner, and a belt is arranged outside the two belt pulleys in a sleeving manner. A hollow roller is arranged on an inner side of the workbench, and a plurality of exhaust holes are provided in a top of the hollow roller.

Abstract: A method for preparing a hybrid filter on a chip with IPD and FBAR, includes: preparing a leakage isolation layer on a supporting substrate by deposition; obtaining an inductor layer on the leakage isolation layer, leaving a window at a bottom of a groove surrounding a cross section of a TGV inductor stack on a mask, and patterning an inductor metal simultaneously; forming a first insulating layer on the inductor metal, and forming lead through holes by photolithography; repeating steps and alternately to obtain a three-layer stacked TGV inductor; depositing a second insulating layer on the TGV inductor; depositing two capacitor layers on the second insulating layer, and depositing a third insulating layer between the two capacitor layers to form an MIM capacitor; and preparing a BAW resonator on the MIM capacitor, and connecting the TGV inductor, the MIM capacitor and the BAW resonator through the lead through holes.

Abstract: A Kriging model-based optimal design method and device for a bulk acoustic resonator, and a storage medium are provided. The Kriging model-based optimal design method includes: determining a structure and a material of a resonator, establishing a corresponding MASON model, and performing one-dimensional simulation on the MASON model to obtain a simulation result; determining, based on the simulation result, a design variable for optimizing the resonator, and constructing a Kriging surrogate model; determining an optimization goal, constructing an optimization problem model based on the optimization goal and the Kriging surrogate model, and solving the optimization problem model to obtain an optimal solution; and reducing upper and lower limits of the design variable to improve optimization accuracy.

Abstract: The present disclosure provides a virus composition. The efficacy of a variety of virus compositions loaded with different functional genes was detected, and several virus compositions with excellent antitumor effect were confirmed.

Abstract: A data processing system includes: a processor; a memory storing executable instructions which, when executed by the processor, cause the processor, alone or in combination with other processors, to implement a client application with a user interface. The client application is configured to: receive an image depicting an object; generate a fine-tuning input to an image-generating Artificial Intelligence (AI) model to associate image data of the object with an identifier; with the fine-tuning input, fine-tune the AI model; structure a prompt for the AI model using the identifier; and obtain from the AI model a new customized image that depicts the object while preserving an appearance of the object.

Abstract: A system for cropping an image is disclosed, which performs receiving a source image and user intention data; determining a target feature based on the user intention data; identifying a plurality of visual features within the source image; determining a contextual relevance between the target feature and each identified visual feature of the source image; identifying, based on the determined contextual relevance between the target feature and each identified visual feature of the source image, one or more cropping candidate portions within the source image; cropping, based on the one or more cropping candidate portions, the source image to generate a plurality of cropped images; and causing the plurality of cropped images to be displayed on a display.

Abstract: A data processing system for requesting a customized image from an image-generating artificial intelligence engine may include a processor and a memory comprising instructions for execution by the processor. The instructions, when executed by the processor, cause the processor to: accept user input from a user, the user input comprising an image; tokenize the image to generate a set of tokens for use by the image-generating artificial intelligence engine; and submit the set of tokens to the image-generating artificial intelligence engine to support a request by the user for a customized image corresponding to the tokenized image.

Abstract: A bidirectional portable energy storage power supply without an adapter includes an energy storage unit, a first full bridge circuit, a resonant network, a second full bridge circuit, a third full bridge circuit and a charging and discharging interface circuit connected in turn. Each of the first full bridge circuit, the second full bridge circuit and the third full bridge circuit can be used as an inverter circuit or a rectification circuit, the charging and discharging interface circuit switchably connected with a mains network and a workload, the resonant network combined with the first full bridge circuit or the second full bridge circuit to implement soft-switching. The present disclosure can implement to bidirectionally charge and discharge the portable energy storage power supply by omitting an external adapter thereof, to improve a charging and discharging conversion efficiency, shorten a charging time and reduce a volume of power supply.

Abstract: A system and method and for retrieving one or more visual assets includes receiving a search query for the one or more visual assets, the search query including textual data, encoding the textual data into one or more text embedding representations via a trained text representation machine-learning (ML) model, transmitting the one or more text embedding representations to a matching and selection unit, providing visual embedding representations of one or more visual assets to the matching and selection unit, comparing, by the matching and selection unit, the one or more text embedding representations to the visual embedding representations to identify one or more visual asset search results, and providing the one or more visual asset search results for display.

Abstract: A computer-implemented method, system, and computer program product for detecting or predicting the occurrence of critical heat flux in cooling systems. A model is built and trained to detect or predict the occurrence of critical heat flux in a cooling system based on acoustic data and/or image data. Such a model may be utilized to detect or predict the occurrence of critical heat flux in a cooling system by converting acoustic signals received from sensors remotely located from the cooling system from the temporal domain to a frequency domain. Furthermore, such a model may be utilized to detect or predict the occurrence of critical heat flux in a cooling system by extracting features from image data and acoustic data obtained from sensors remotely located from the cooling system and then concatenating such features.

Abstract: A computing system including a plurality of processing devices configured to execute a Mixture-of-Experts (MoE) layer included in an MoE model. The processing devices are configured to, in each of a plurality of iterations, at each of the processing devices, receive a respective plurality of input tokens. Executing the MoE layer further includes, at each of the processing devices, selecting one or more destination expert sub-models associated with the input tokens. Respective numbers k of expert sub-models selected differ across the iterations. At each of the processing devices, executing the MoE layer further includes conveying the input tokens to the one or more destination expert sub-models. Executing the MoE layer further includes generating one or more respective expert sub-model outputs at the one or more destination expert sub-models. Executing the MoE layer further includes generating and outputting an MoE layer output based on the one or more expert sub-model outputs.