Abstract: An experimental device and method for supercritical CO2/H2O mixed fluid huff and puff for shale oil development includes a CO2 storage tank, a water vapor generator, a mixing vessel, and a core holder; the CO2 storage tank and the water vapor generator are in communication with the mixing vessel; a first pressure gauge and a hygronom are connected to an upper end of the mixing vessel, and a displacement pump is connected to a lower end of the mixing vessel; the mixing vessel is connected to an inlet end of the core holder; the core holder is connected to an inlet end of a drying pipe, and the measuring cylinder is disposed upside down in a liquid containing dish, where the liquid containing dish and the measuring cylinder are filled with a saturated sodium carbonate solution.

Abstract: A method and an apparatus for detecting bending stiffness and a method for testing a display panel. The method for detecting bending stiffness includes: arranging an object to be tested on a reference surface to make a stationary portion and a rotating portion of the object to be tested attached to the reference surface, the stationary portion and the rotating portion being connected to each other; driving the rotating portion to bend from the reference surface toward the stationary portion, and acquiring a rotation angle between the rotating portion and the reference surface; acquiring a bending force received by the rotating portion when the rotating portion is bent from the reference surface toward the stationary portion; and determining bending stiffness of the object to be tested on the basis of the bending force and the rotation angle.

Abstract: Disclosed embodiments relate to natural language processing. Techniques can include receiving input text, extracting, from the input text, at least one modifier and aspect pair, receiving data from a knowledgebase, based on the at least one modifier and aspect pair and commonsense data, generate one or more premise embeddings, convert the input text into tokens, generating at least one vector for one or more of the tokens based on an analysis of the tokens, combine the at least one vector with the one or more premise embeddings to create at least one combined vector, and analyze the at least one combined vector wherein the analysis generates an output indicative of a feature of the input text.

Abstract: The technology is directed to the use of a bitmap generated at a receiver to track the status of received packets sent by a transmitter. The technology may include a network device including an input port, output port, and circuitry. The circuitry may generate a transmitter bitmap that tracks each data packet sent to another network device. The circuitry of the network device may receive, from the other network device, a receiver bitmap that identifies each data packet that is received and not received from the network device. The circuitry may then determine which data packets to retransmit by comparing the transmitter bitmap to the receiver bitmap.

Abstract: Disclosed embodiments relate to generalized entity matching. Techniques can include receiving a data pair of two entities that may be pre-processed to have parsable data structures, and serializing the data pair into a sequence of tokens based on data structure of each entity in the data pair. Techniques can further include encoding the serialized data pair to include topic attributes that may be mapped to data in the data pair and the topic of the mapped data matches the topic represented by topic attribute and the data in the data pair is concatenated. Techniques can further include pooling attributes in the data pair based on contextualized attributed representations of each encoded entity in the data pair and schema of each entity of the data pairs, where the contextual attribute representations are based on a first token of each encoded attribute in the sequence of tokens, and predicting matching labels between the data pairs based on pooled attributes.

Abstract: A system is provided for synchronizing clocks. The system includes a plurality of devices in a network, each device having a local clock. The system is configured to synchronize the local clocks according to a primary spanning tree, where the primary spanning tree has a plurality of nodes connected through a plurality of primary links, each node of the plurality of nodes representing a respective device of the plurality of devices. The system is also configured to compute a backup spanning tree before a failure is detected in the primary spanning tree, wherein the backup spanning tree includes one or more backup links that are different from the primary links. As such, upon detection of a failure in the primary spanning tree, the system reconfigures the plurality of devices such that clock synchronization is performed according to the backup spanning tree.

Abstract: Aspects of the disclosure provide for congestion control mechanisms to reduce data transmission queues and to increase link utilization through precise congestion signals and reduction of control loop delay. A congestion control system (CC) system can utilize Back-To-Sender (BTS) packets over (round trip time) RTT control loop delay to react to congestion faster. The CC system can apply Proactive Ramp-up (PRU) to identify flow completions to occupy released bandwidth right on time, e.g., as bandwidth is made available. The CC system can perform supply matching (SM) through network calculus concepts to increase link utilization. The CC system can apply some or all of the use of BTS packets, PRU, and/or SM to reduce network latency and improve data flow completion time as compared with other approaches.

Abstract: An aspect of the disclosed technology is a computing system that implements a congestion control (CC) protocol that exploits and extends in-network telemetry (INT) to address, for example, blind spots typically found in end-to-end algorithms, determines CC for an actual bottleneck hop, realizes low queuing delay, and/or realizes convergence to network-wide max-min fair bandwidth allocation.

Abstract: Disclosed embodiments relate to natural language processing. Techniques can include receiving input text, extracting, from the input text, at least one modifier and aspect pair, receiving data from a knowledgebase, based on the at least one modifier and aspect pair and commonsense data, generate one or more premise embeddings, convert the input text into tokens, generating at least one vector for one or more of the tokens based on an analysis of the tokens, combine the at least one vector with the one or more premise embeddings to create at least one combined vector, and analyze the at least one combined vector wherein the analysis generates an output indicative of a feature of the input text.

Abstract: Disclosed embodiments relate to natural language processing. Techniques can include receiving input text, extracting, from the input text, at least one modifier and aspect pair, receiving data from a knowledgebase, based on the at least one modifier and aspect pair and commonsense data, generate one or more premise embeddings, convert the input text into tokens, generating at least one vector for one or more of the tokens based on an analysis of the tokens, combine the at least one vector with the one or more premise embeddings to create at least one combined vector, and analyze the at least one combined vector wherein the analysis generates an output indicative of a feature of the input text.

Abstract: A system is provided for synchronizing clocks. The system includes a plurality of devices in a network, each device having a local clock. The system is configured to synchronize the local clocks according to a primary spanning tree, where the primary spanning tree has a plurality of nodes connected through a plurality of primary links, each node of the plurality of nodes representing a respective device of the plurality of devices. The system is also configured to compute a backup spanning tree before a failure is detected in the primary spanning tree, wherein the backup spanning tree includes one or more backup links that are different from the primary links. As such, upon detection of a failure in the primary spanning tree, the system reconfigures the plurality of devices such that clock synchronization is performed according to the backup spanning tree.

Abstract: Disclosed embodiments relate to generating training data for a machine learning model. Techniques can include accessing a machine learning model from a machine learning model repository and identifying a data set associated with the machine learning model. The identified data set is utilized to generate a set of data augmentation operators. The data augmentation operators applied on a selected sequence of tokens associated with the machine learning model to generate sequences of tokens. A subset of sequences of tokens are selected and stored in a training data repository. The stored sequences of tokens are provided to the machine learning model as training data.

Abstract: The present disclosure generally relates to a denitration catalyst, and in particular to a method for preparing the denitration catalyst. The present disclosure also relates to a method for preparing a coated substrate comprising the denitration catalyst. The present invention also relates to use of the denitration catalyst and/or coated substrate at low temperatures and/or humid environments.

Abstract: A system is provided for synchronizing clocks. The system includes a plurality of devices in a network, each device having a local clock. The system is configured to synchronize the local clocks according to a primary spanning tree, where the primary spanning tree has a plurality of nodes connected through a plurality of primary links, each node of the plurality of nodes representing a respective device of the plurality of devices. The system is also configured to compute a backup spanning tree before a failure is detected in the primary spanning tree, wherein the backup spanning tree includes one or more backup links that are different from the primary links. As such, upon detection of a failure in the primary spanning tree, the system reconfigures the plurality of devices such that clock synchronization is performed according to the backup spanning tree.

Abstract: Performance issues in a service function chain having a plurality of resources and a plurality of network functions each having a network function queue are diagnosed. Each network function queue is monitored and queueing information for input packets for each of the plurality of network functions is dumped to a data store. Each resource that is under contention is identified as well as which of the network functions is a contender for the resources. A diagnosing algorithm is used to diagnose performance problems and an impact graph for each victim packet is generated. A summary of results as a list of rules is then provided.

Abstract: A device may obtain first information relating to one or more first lung nodules identified in first imaging of a chest of a patient and second information relating to one or more second lung nodules identified in second imaging of the chest of the patient. The device may provide the first information and the second information to a machine learning model. The device may determine, using the machine learning model, a risk of lung cancer associated with the patient based on an elapsed time between performance of the first imaging and the second imaging and differences between the first information and the second information. The risk of lung cancer may have an inverse correlation to the elapsed time and a direct correlation to the differences.

Abstract: Disclosed embodiments relate to extracting classification information from input text.

Abstract: Performance issues in a service function chain having a plurality of resources and a plurality of network functions each having a network function queue are diagnosed. Each network function queue is monitored and queueing information for input packets for each of the plurality of network functions is dumped to a data store. Each resource that is under contention is identified as well as which of the network functions is a contender for the resources. A diagnosing algorithm is used to diagnose performance problems and an impact graph for each victim packet is generated. A summary of results as a list of rules is then provided.

Abstract: A method and an apparatus for detecting bending stiffness and a method for testing a display panel. The method for detecting bending stiffness includes: arranging an object to be tested on a reference surface to make a stationary portion and a rotating portion of the object to be tested attached to the reference surface, the stationary portion and the rotating portion being connected to each other; driving the rotating portion to bend from the reference surface toward the stationary portion, and acquiring a rotation angle between the rotating portion and the reference surface; acquiring a bending force received by the rotating portion when the rotating portion is bent from the reference surface toward the stationary portion; and determining bending stiffness of the object to be tested on the basis of the bending force and the rotation angle.

Abstract: Disclosed embodiments relate to natural language processing. Techniques can include receiving input text, extracting, from the input text, at least one modifier and aspect pair, receiving data from a knowledgebase, based on the at least one modifier and aspect pair and commonsense data, generate one or more premise embeddings, convert the input text into tokens, generating at least one vector for one or more of the tokens based on an analysis of the tokens, combine the at least one vector with the one or more premise embeddings to create at least one combined vector, and analyze the at least one combined vector wherein the analysis generates an output indicative of a feature of the input text.