Abstract: A distributed antenna system comprises: a plurality of ports configured to receive downstream signals or transmit upstream signals; a plurality of first antennas configured to transmit the downstream signals or receive the upstream signals; a power regulating unit coupled between the plurality of ports and the plurality of first antennas and configured to transfer and regulate the downstream signals or the upstream signals, wherein the power regulating unit comprises: a plurality of first links respectively corresponding to different frequency bands, and a first power regulating section configured to regulate power of link signals transferred over each first link, such that link signals of different frequency bands transferred over the plurality of first links have substantially the same power. The solution of the present disclosure can support input of signals at multiple frequency bands, achieve power balance and improve system performance and wireless coverage effects.

Abstract: A method, computer program product and computer system to track and test custom webpage components is provided. A processor retrieves a production webpage. A processor determines a custom component of the production webpage. A processor retrieves component metadata associated with the custom component. A processor generates a hidden element in the production webpage including the component metadata, wherein the production webpage is configured to make the hidden element visible in response to an event.

Abstract: A device for rapidly preparing ?-Si3N4 by gas-solid reaction and a method thereof, and relates to the technical field of recycling and reuse of waste fine silicon powder. The bottom of a stock bin communicates with a first opening and closing passage, a first connection passage, and the top of a first transitional bin; the bottom of the first transitional bin communicates with the first opening and closing passage, a second connection passage, and the top of a reaction bin; the bottom of the reaction bin communicates with a second opening and closing passage, the first connection passage, and the top of a second transitional bin; the bottom of the second transitional bin communicates with the top of a conveying passage through the first opening and closing passage; a material outlet of the conveying bin communicates with the collection bin.

Abstract: An inline malicious traffic detector captures handshake messages in a session with a security protocol. The inline malicious traffic detector comprises a classifier that generates a verdict for the session indicating malicious or benign. The classifier is trained on labelled sessions using custom features generated from handshake messages. Based on determining that the session is malicious using features of the handshake messages, the inline malicious traffic detector blocks the session.

Abstract: Techniques are disclosed for content storage in a way that facilitates consistent and concurrent read/write processing of stored documents. An example methodology implementing the techniques includes segmenting the contents of a document into a plurality of content segments and storing the plurality of content segments within a data structure, the data structure including storage blocks having storage portions and buffer portions. The storage of the plurality of content segments includes storage of content segments within a storage portions of the storage blocks of the data structure. The method also includes receiving at least one change to the content and utilizing a buffer portion of at least one storage block to store the at least one change to the content.

Abstract: Adapting detection of security threats, including by retraining computer-implemented models is disclosed. An indication is received that a natural language processing model should be retrained. A list of training samples is generated that includes at least one synthetic training sample. The natural language processing model is retrained at least in part by using the set of generated training samples. The retrained natural language processing model is used to determine a likelihood that a message poses a risk.

Abstract: Systems and methods providing access control and data privacy/security with decentralized ledger technology are disclosed. To ensure data privacy the decryption or access to data by a non-data owner requires joint orchestration of decentralized system nodes to provide partial decryption components with n-of-x required to fulfill request. Data can be encrypted, and access control policy can be decided including required number of key fragments to fulfill decryption. Access control policies can be stored in the decentralized ledger based system. Key information can be stored in the system in a decentralized manner with partial key fragments encrypted and split among system nodes. An access request can be sent to the system to fetch a data file, without disclosing the requester's identity in the system. The decentralized ledger based system can verify a legitimate request to access the data and denies access to malicious or faulty participants.

Abstract: The present disclosure provides an opening-closing type microwave catalytic reaction apparatus, including a microwave system, a microwave cavity, a protective cover, a cooling system, and a vertical furnace tube, where two ends of the furnace tube are respectively stretched out of the microwave cavity, the microwave system includes a plurality of microwave transmitting units, and the microwave transmitting unit includes a microwave transmitter; the furnace tube is provided with a gas inlet on a top and a gas outlet on a bottom; a compression hinge and a cavity cover capable of being opened or closed are arranged on the microwave cavity, a convex edge plate is disposed at an edge of the cavity cover, the compression hinge can compress the cavity cover such that the convex edge plate is tightly attached to a concave edge plate on the microwave cavity, and the protective cover can cover the entire cavity cover.

Abstract: An approach is provided in which the approach constructs a 3-dimensional (3D) matrix based on a plurality of historical transactions performed by a user. The 3D matrix includes a set of features, a set of rows, and a set of channels. The approach trains a convolutional neural network using the 3D matrix, and then uses the trained convolutional neural network to predict a risk level of a new transaction initiated by the user. The approach transmits an alert message based on the predicted risk level.

Abstract: A repairing method for micro-LED chip defective pixels is disclosed. By providing a main recess and a backup recess in each of sub-pixel areas of a substrate, wherein each of the main recesses is loaded with a main micro-LED chip, when all of the main micro-LED chips are detected for defective pixels, the backup recess in each of the sub-pixel areas where the defective pixel is detected is loaded with a backup micro-LED chip using a fluid mass transfer method, which improves the repair efficiency.

Abstract: Embodiments of the present invention relate to use of a GP73 inhibitor in preparation of a drug for treating diabetes. In the embodiments of the present invention, the inventor finds that GP73 plays a key role in blood glucose regulation, and in particular, finds that soluble GP73 can specifically bind to glucagon to form a complex, enhances the blood glucose-rising function and gluconeogenesis function of glucagon and prolongs the half-life of glucagon; and finds soluble GP73 can activate the glucose production in liver and/or kidney and a gluconeogenesis signaling pathway in a glucagon-independent manner. Based on the blood glucose regulation effect of the GP73 described above, the inventor also proves through animal experiments: the GP73 inhibitor can reduce the blood glucose level and glycated hemoglobin level of diabetic mice and have a protective effect on islet ? cells, and thereby having the effect of treating diabetes.

Abstract: An approach is provided in which the approach constructs a 3-dimensional (3D) matrix based on a plurality of historical transactions performed by a user. The 3D matrix includes a set of features, a set of rows, and a set of channels. The approach trains a convolutional neural network using the 3D matrix, and then uses the trained convolutional neural network to predict a risk level of a new transaction initiated by the user. The approach transmits an alert message based on the predicted risk level.

Abstract: Methods and apparatus for user transfer in a Cloud-radio access network (C-RAN) are disclosed. In an embodiment, a method includes in response to a request for migrating a user from a first user equipment (UE) virtualized network function component (VNFC) to a second UE VNFC, receiving at the second UE VNFC, dynamic context information of packet data convergence protocol (PDCP) layer and radio link control (RLC) layer for data transmission of the user from the first UE VNFC. The method further includes continuing process of the data transmission of the user at the second UE VNFC based on the dynamic context information.

Abstract: Provided are a bissulfonate compound, a preparation method therefor, an electrolytic solution and an energy storage device. The bissulfonate compound has a structure of (I) and is applied as an additive to an energy storage device, so that a stable SEI film can be formed on a surface of an anode of the energy storage device, and the decomposition of a solvent in the electrolytic solution can be suppressed. As the stable SEI film can be formed on the surface of the anode, lithium ions can be smoothly embedded and disembedded at a low temperature, thereby improving the low-temperature performance of the energy storage device.

Abstract: A computer transforms a machine learning model. The computer receives a first Machine Learning model trained to assign a first set of classes to data samples based, on data features. The computer receives a first set of data samples having features and being assigned to a class in accordance with the features. The computer calculates for each data sample, a vector representing features of the sample and determines, for each of the first set of classes, a class largest intra-sample distance. The computer generates data samples having feature combinations outside the first set of classes. The computer transforms the first Machine Learning model into a second Machine Learning model by training the first Machine Learning model with training data including second set data samples labeled with associated second data class assignments.

Abstract: A current signal segmentation algorithm is provided. The segmentation algorithm divides a current signal waveform into mutually different segments according to a physical feature thereof, extracts shape distribution, statistical and harmonic features of the segments, and calculates a similarity between a segment pair. The segmentation algorithm includes the following steps: segmenting a current signal to separate a standby current and an overshoot current, only leaving a working current; extracting a shape distribution feature of a working current segment; extracting a statistical feature of the working current segment; extracting a harmonic feature of the working current segment; calculating a similarity between a segment pair; and deriving a maximum clique set in a similarity graph through a maximum clique search algorithm as a class from automatic segmentation.

Abstract: Introduced here are computer programs and computer-implemented techniques for generating and then managing a federated database that can be used to ascertain the risk in interacting with vendors. At a high level, the federated database allows knowledge regarding the reputation of vendors to be shared amongst different enterprises with which those vendors may interact. A threat detection platform may utilize the federated database when determining how to handle incoming emails from vendors.

Abstract: The present disclosure relates to a data processing method, platform, a computer-readable storage medium and an electronic device. The method includes: extracting original data into a message engine based on a preset standardized data interface, the original data including terminal data generated by a terminal device and/or system data generated by an application system; reading the original data from the message engine, and storing the original data in a distributed file system to form a fact table; storing the fact table in a columnar database, and obtaining target column data required for generating a target chart from the columnar database; and generating the target chart according to the target column data.

Abstract: The present invention discloses a knowledge inference engine system and a method of implementation, relating to the field of wired communication networking technology. The system includes a data generation module, a stream partitioning model, an offline scheduling module, an online scheduling module, a scheduling solution base and a historical information base module, the data generation module used to generate a dataset and divide it into a plurality of partitions, the stream partitioning model used to partition the dataset, the offline scheduling module used to generate a scheduling solution for static network requirements, the online scheduling module used to rapidly generate a scheduling solution for a new TT stream, the scheduling solution base used to store a result of the partitioning, an iterative scheduling order for the partitions and the offline scheduling solution, the historical information base used to update and store relevant data information and performance indicators.

Abstract: A system comprises one or more processors. The system further comprises memory having computer readable instructions stored thereon that, when executed by the one or more processors, cause the system to: obtain a reference tree of nodes and linkages for a reference three dimensional volumetric representation of a branched anatomical formation in a reference state; based on the reference tree, generate a reference three dimensional geometric model; based on measurements from a sensor system, detect deformation of the branched anatomical formation; based on the detected deformation, obtain a deformed tree of nodes and linkages; and generate a three dimensional deformation field that represents the detected deformation of the branched anatomical formation.