Abstract: A compressor includes an orbiting scroll, a cooling pipe and a crankshaft, the cooling pipe includes an inlet pipe and an outlet pipe, an axial through hole is provided at a center of the orbiting scroll, a sealing portion of the orbiting scroll is provided with a sealing groove, a mounting hole is provided in the crankshaft, the cooling pipe passes through the crankshaft and enters from a tail portion of the crankshaft, through the mounting hole, the axial through hole and the sealing groove, and then returns back on the same way, and a part of the cooling pipe is arranged in the sealing portion of the orbiting scroll, the cooling pipe moves synchronously with the orbiting scroll and rotates with respect to the crankshaft.

Abstract: A light emitting module and a driving method thereof, and a displaying device. The light emitting module includes: a light emitting base plate, wherein the light emitting base plate includes M rows and N columns of light emitting regions, and each of the light emitting regions includes a plurality of light emitting devices that are connected in series; and a driving assembly, wherein the driving assembly includes one or more driving chips, each of the driving chips includes a plurality of first leads and a plurality of second leads, each of the first leads is connected to the first terminal of a corresponding one instance of the light emitting regions, and each of the second leads is connected to the second terminal of a corresponding one instance of the light emitting regions; wherein a total quantity of the second leads in the driving assembly is integer multiples of N.

Abstract: An edge network computing system includes: a plurality of terminal devices; a plurality of edge servers connected to the terminal device through an access network; and a plurality of cloud servers connected to the plurality of edge servers through a core network. Each edge server is configured to: receive a plurality of computing tasks originated from one of the plurality of terminal devices; use a deep Q-learning neural network (DQN) with experience replay to select one of the plurality of could servers to offload a portion of the plurality of computing tasks; and send the portion of the plurality of computing tasks to the selected cloud server and forward results of the portion of the plurality of computing tasks received from the selected cloud server to the originating terminal device.

Abstract: An apparatus including processing circuitry and a method are described. When receiving a cross-chain transaction request to transfer a resource from a first account to a second account, the processing circuitry is configured to generate a task corresponding to the first account. The task can indicate conditions for implementing events in transferring the resource. A first blockchain system provides services for the first account, and a second blockchain system different from the first blockchain system provides services for the second account. The processing circuitry transfers the resource to the second account based on the task when a first plurality of first nodes in the first blockchain system reaches a consensus on a generation event of the task and updates a task status of the task to being finished when a plurality of second nodes in the second blockchain system reaches a consensus on a transfer event of the resource.

Abstract: Various embodiments provide a method for transmission control protocol (TCP) packet transmission. The method includes receiving, by a receiver performance enhancing node (PEN), one or more TCP packets each with a timestamp and a sequence number from a sender PEN; evaluating a packet delivery time from the sender PEN to the receiver PEN; detecting whether any TCP packet is lost based on a packet sequence and determining a delay shaping time for each TCP packet based on a maximum number of retransmissions and an evaluated delivery time distribution; in response to a lost TCP packet being detected, determining whether the lost TCP packet needs to be retransmitted based on the maximum number of retransmissions; and in response to the determined delay shaping time, determining when a received TCP packet needs to be forwarded based on the determined delay shaping time and a timestamp associated with the received TCP packet.

Abstract: The present disclosure provides a preparation method of a plasma-treated nanofiber-based hydrogen gas sensing material, including the following steps: (1) stirring a mixed solution of absolute ethanol, polyvinyl pyrrolidone (PVP), N, N-dimethylformamide, SnCl2.H2O, and Zn(CH3COO)2.2H2O uniformly on a constant-temperature magnetic stirrer to obtain a spinning solution; (2) electrospinning the spinning solution and depositing on an aluminum foil to obtain a spinning fiber; (3) annealing the spinning fiber in a muffle furnace to obtain a hydrogen gas sensing material sample; and (4) subjecting the hydrogen gas sensing material sample to a vacuum argon plasma treatment with a Hall ion source to obtain the nanofiber-based hydrogen gas sensing material. In the method, nanofibers are prepared by electrospinning and subjected to the vacuum argon plasma treatment through the Hall ion source.

Abstract: The present disclosure relates to a celastrol or a pharmaceutically acceptable salt thereof, and a use thereof in the manufacture of a medicament for preventing and/or treating a cholestatic liver disease or a liver fibrosis.

Abstract: Provided are computing systems and methods directed to active learning and may provide advantages or improvements to active learning applications for skewed data sets. A challenge in training and developing high-quality models for many supervised learning scenarios is obtaining labeled training examples. Provided are systems and methods for active learning on a training dataset that includes both labeled and unlabeled datapoints. In particular, the systems and methods described herein can select (e.g., at each of a number of iterations) a number of the unlabeled datapoints for which labels should be obtained to gain additional labeled datapoints on which to train a machine-learned model (e.g., machine-learned classifier model). Generally, provided are cost-effective methods and systems for selecting data to improve machine-learned models in applications such as the identification of content items in text, images, and/or audio.

Abstract: A receiving structure providing real-time information as to the materials constituting its contents includes a box body, a first side plate, and a second side plate. The box body, the first side plate, and the second side plate forming a receiving space, and the receiving space receives materials. A discharge port is formed between the second side plate and the first side plate, the discharge port is in communication with the receiving space, and the discharge port is configured to take out the material. A material checking unit is provided on the first side plate, the material checking unit detects and enables real time identification of the materials in the receiving structure.

Abstract: A method for point cloud compression of an intelligent cooperative perception (iCOOPER) for autonomous air vehicles (AAVs) includes: receiving a sequence of consecutive point clouds; identifying a key point cloud (K-frame) from the sequence of consecutive point clouds; transforming each of the other consecutive point clouds (P-frames) to have the same coordinate system as the K-frame; converting each of the K-frame and P-frames into a corresponding range image; spatially encoding the range image of the K-frame by fitting planes; and temporally encoding each of the range images of the P-frames using the fitting planes.

Abstract: The present disclosure is directed to extracting text from form-like documents. In particular, a computing system can obtain an image of a document that contains a plurality of portions of text. The computing system can extract one or more candidate text portions for each field type included in a target schema. The computing system can generate a respective input feature vector for each candidate for the field type. The computing system can generate a respective candidate embedding for the candidate text portion. The computing system can determine a respective score for each candidate text portion for the field type based at least in part on the respective candidate embedding for the candidate text portion. The computing system can assign one or more of the candidate text portions to the field type based on the respective scores.

Abstract: There is provided a touch panel, including: a substrate including a touch detection area and a fingerprint recognition area; plural touch detection units in the touch detection area, each touch detection unit including a touch detection electrode; plural fingerprint recognition units in the fingerprint recognition area, each fingerprint recognition unit including a fingerprint recognition electrode, and the fingerprint recognition electrode and the touch detection electrode being in a same layer; a signal wiring layer on a same side of the substrate as the touch detection electrode and the fingerprint recognition electrode and including plural first signal transmission lines and plural second signal transmission lines.

Abstract: A method for processing account information in a block chain is provided. A computer device receives identity information and a transfer request, the transfer request requesting to transfer a resource in an account to a target account, the target account being generated by a certificate center. The computer device obtains owner information of the account from the certificate center according to the transfer request. The computer device compares the identity information and the owner information. The computer device transmits an authentication request to the block chain in response to determining that the identity information and the owner information are consistent, the authentication request requesting the block chain to transfer the resource in the account to the target account.

Abstract: The present disclosure discloses an information storage method performed at a server.

Abstract: The invention provides a fluorinated chitosan derivative as a drug carrier, which has the following structure: a fluorine-containing compound covalently attached to the backbone of chitosan. The chitosan has a molecular weight in the range of 1000-5000000, a degree of deacetylation of not less than 55%, and a viscosity in the range of 25-1000 cps. The fluorine-containing compound is a fluorine-containing aliphatic chain shown by the following chemical formula (I) or an aromatic ring with functional groups shown by the following formula (II) wherein R1 is halogen (fluorine, chlorine, bromine, iodine), or a halogen-substituted alkane, cycloalkane, aldehyde group, carboxyl group, alkenyl group, alkynyl group, hydroxyl group, sulfonyl chloride, sulfonic acid bond or mercapto group, for interacting with a primary amino group. The compounds of the present invention can be universally bound to a variety of drugs to promote drug absorption and bioavailability, and reduce toxicity.

Abstract: The present disclosure is directed to extracting text from form-like documents. In particular, a computing system can obtain an image of a document that contains a plurality of portions of text. The computing system can extract one or more candidate text portions for each field type included in a target schema. The computing system can generate a respective input feature vector for each candidate for the field type. The computing system can generate a respective candidate embedding for the candidate text portion. The computing system can determine a respective score for each candidate text portion for the field type based at least in part on the respective candidate embedding for the candidate text portion. The computing system can assign one or more of the candidate text portions to the field type based on the respective scores.

Abstract: A receiving structure providing real-time information as to the materials constituting its contents includes a box body, a first side plate, and a second side plate. The box body, the first side plate, and the second side plate forming a receiving space, and the receiving space receives materials. A discharge port is formed between the second side plate and the first side plate, the discharge port is in communication with the receiving space, and the discharge port is configured to take out the material. A material checking unit is provided on the first side plate, the material checking unit detects and enables real time identification of the materials in the receiving structure.

Abstract: A receiving structure providing real-time information as to the materials constituting its contents includes a box body, a first side plate, and a second side plate. The box body, the first side plate, and the second side plate forming a receiving space, and the receiving space receives materials. A discharge port is formed between the second side plate and the first side plate, the discharge port is in communication with the receiving space, and the discharge port is configured to take out the material. A material checking unit is provided on the first side plate, the material checking unit detects and enables real time identification of the materials in the receiving structure.

Abstract: The present disclosure discloses a client device having a digital signature. The client device includes processing circuitry configured to send a message to be stored in nodes after the nodes reach a consensus on the message. The message includes the digital signature of the client device. The processing circuitry obtains results from a subset of the nodes that receive the message. The results have respective digital signatures of the subset of the nodes. The nodes are in a first consensus mode for reaching the consensus on the message. After verifying the digital signatures, the processing circuitry determines whether one or more of the nodes has malfunctioned based on the results. Based on a determination that the one or more of the nodes has malfunctioned, the processing circuitry triggers the nodes to switch from the first consensus mode to a second consensus mode for reaching the consensus on the message.