Abstract: The disclosure provides at compounds of Formula I, compositions comprising the same, and methods of using the same, including use in treating diseases, disorders of conditions mediated by the signaling of formyl peptide receptor 1 (FPR1).

Abstract: The present disclosure is directed to an antenna array. The antenna array includes a plurality of dielectric windows coupled to a support structure comprising a plurality of gas ports, a primary frame comprising a primary conduit connected to a power source and a plurality of secondary frames supported by the primary frame. The secondary frame includes a secondary conduit connected to the primary conduit. A plurality of inductive couplers are disposed over the plurality of dielectric windows and supported by the secondary frames. The plurality of inductive couplers include a plurality of antenna connectors and a plurality of plurality of antennas. The plurality of antenna connectors connect the plurality of antennas to the secondary conduit.

Abstract: The disclosure is directed towards the real-time detection and mitigation of security threats to a domain name system (DNS) for a communication network. A graph-theoretic method is applied to detect compromised DNS assets (e.g., DNS servers and web servers that DNS servers map domain names to). A graph is generated from domain name resolution (DNR) transactions. The nodes of the graph represent the DNS assets and edges between the nodes represent the DNR transactions. The graph is analyzed to detect features that signal compromised assets. The detection of such features serves to act as a binary classifier for the represented assets. The binary classifier acts to classify each node as non-compromised or compromised. The analysis is guided by supervised and/or unsupervised machine learning methods. Once the assets are classified, DNR transactions are analyzed in real-time. If the transaction involves a compromised asset, an intervention is performed that mitigates the threat.

Abstract: The present disclosure provides a display substrate including: a base substrate, and a thin film transistor, an oxygen supplementing functional layer and an oxygen containing layer formed on the base substrate. The thin film transistor includes: an active layer in direct contact with the oxygen containing layer, and the active layer includes an oxide semiconductor material. The oxygen supplementing functional layer includes a metal oxide material and serves as a first electrode of the display substrate. The oxygen containing layer is between the oxygen supplementing functional layer and the base substrate.

Abstract: The present invention discloses a hydrate energy-storage temperature-control material and a preparation method therefor. The material includes a refrigerant hydrate and a cross-linked polymer. The preparation method comprises the following steps: first, preparing a refrigerant hydrate by using a high-pressure reactor, and conducting grinding, crushing and sieving to obtain hydrate particles; then, uniformly spraying polytetrafluoroethylene suspended ultrafine powder onto the surface of the hydrate particles by using an electrostatic spraying device, and putting the hydrate particles into a plasma instrument to modify polytetrafluoroethylene so as to allow free radicals to be formed on the polytetrafluoroethylene powder surface; finally, subjecting monomers to graft polymerization with the free radicals on the polytetrafluoroethylene surface under the irradiation of a high-pressure mercury lamp of UV lighting system to stabilize the structure of the material, preparing a final product.

Abstract: The present disclosure provides a method and apparatus for constructing an organizational collaboration network, and relates to the field of artificial intelligence, and particularly to the field of big data analysis. A specific implementation includes: acquiring collaborative data between at least one pair of organizations; calculating at least one collaboration index between each pair of organizations according to the collaborative data; calculating, for each pair of organizations, a degree of closeness between the pair of organizations according to a weighted sum of the at least one collaboration index between the pair of organizations; and using each organization as a node, a relationship between each pair of organizations as an edge, and the degree of closeness between each pair of organizations as a weight of the edge, to construct the organizational collaboration network.

Abstract: A method for community search is performed by an electronic device. The method includes: obtaining graph data to be processed, in which the graph data includes a plurality of nodes and a plurality of connection edges between the nodes; determining a query node from the plurality of nodes based on the graph data, and determining a target community to which the query node belongs by performing a community search for the query node, in which the target community includes the query node, and at least one node other than the query node in the plurality of nodes; and determining the query node and performing the community search for the query node repeatedly until the community to which each node included in the graph data belongs is determined.

Abstract: A method for determining a text topic includes: after a word sequence corresponding to a text to be processed and a number of spaced words in the text to be processed between each two words in the word sequence are determined, a graph structure corresponding to the text to be processed may be determined based on the number of spaced words between each two words in the text to be processed, a topic distribution corresponding to the text may be determined based on the word sequence and the graph structure, a topic corresponding to the text may be determined based on the topic distribution.

Abstract: A method and an apparatus for constructing an object relationship network and an electronic device are provided by the present disclosure, relating to the field of artificial intelligence technologies, such as deep neural networks, deep learning, etc. A specific implementation solution is: extracting keywords in respective text contents corresponding to a plurality of objects to obtain keywords corresponding to respective objects; and according to the keywords corresponding to the objects, a similarity between the plurality of objects is determined; and then according to the similarity between the plurality of objects, an object relationship network between the plurality of objects is constructed. Since the object relationship network constructed by means of the similarity between the plurality of objects can accurately describe a closeness degree of a relationship between the objects, thus, the plurality of objects can be managed effectively by means of the constructed object relationship network.

Abstract: The disclosure is directed towards the real-time detection and mitigation of security threats to a domain name system (DNS) for a communication network. A graph-theoretic method is applied to detect compromised DNS assets (e.g., DNS servers and web servers that DNS servers map domain names to). A graph is generated from domain name resolution (DNR) transactions. The nodes of the graph represent the DNS assets and edges between the nodes represent the DNR transactions. The graph is analyzed to detect features that signal compromised assets. The detection of such features serves to act as a binary classifier for the represented assets. The binary classifier acts to classify each node as non-compromised or compromised. The analysis is guided by supervised and/or unsupervised machine learning methods. Once the assets are classified, DNR transactions are analyzed in real-time. If the transaction involves a compromised asset, an intervention is performed that mitigates the threat.

Abstract: Provided are a method of training a prediction model, a prediction method, an electronic device and a medium, which relate to the field of artificial intelligence technology, and in particular, to the field of Big Data. A prediction model includes a main prediction model and an auxiliary prediction model, a training sample set includes a project information sample of a project and an item information sample of an item associated with the project, a project information sample includes a project property information and a project comment information, and an item information sample includes an item comment information. The method includes: inputting the project comment information to the auxiliary prediction model to obtain an initial prediction semantic information; training the main prediction model by using the project property information and the initial prediction semantic information; and training the auxiliary prediction model by using the item comment information.

Abstract: A dudou-shaped test block includes a testing structure, a first beam-path structure, and a second beam-path structure. A first arc-shaped groove and a second arc-shaped groove are provided on one side of the testing structure. The other side of the testing structure is a flat surface. The first beam-path structure and the second beam-path structure are both flat plates. A thickness of the first beam-path structure is less than a thickness of the second beam-path structure. The first beam-path structure and the second beam-path structure are both in contact with the flat surface and arranged parallel to the flat surface. The first arc-shaped groove is arranged corresponding to the first beam-path structure, and the second arc-shaped groove is arranged corresponding to the second beam-path structure.

Abstract: A dudou-shaped test block includes a testing structure, a first beam-path structure, and a second beam-path structure. A first arc-shaped groove and a second arc-shaped groove are provided on one side of the testing structure. The other side of the testing structure is a flat surface. The first beam-path structure and the second beam-path structure are both flat plates. A thickness of the first beam-path structure is less than a thickness of the second beam-path structure. The first beam-path structure and the second beam-path structure are both in contact with the flat surface and arranged parallel to the flat surface. The first arc-shaped groove is arranged corresponding to the first beam-path structure, and the second arc-shaped groove is arranged corresponding to the second beam-path structure.

Abstract: A microscope (10) for obtaining a high dynamic range synthesized image (21) of an object (12) from a plurality of low dynamic range input images (19) comprises a controller (14), an incoherent light source (16) for illuminating the object (12) at different light intensity levels, and a recording device (18) for recording the plurality of low dynamic range input images (19), wherein each of the low dynamic range input images (19) is recorded at a different light intensity level. The controller (14) is configured to control the recording device (18) such that during recording of the series of the low dynamic range images the recording parameters for obtaining the plurality of low dynamic range input images (19) are kept constant.

Abstract: Improvements are disclosed regarding the way in which vehicle wheels are designed and assembled, including ultralight, airless vehicle wheels adapted for mounting on a rim to receive a tire. One or more flexible ring-shaped tendons are disposed over the rim. A stuffer component is disposed over the tendons, and the wheel is disposed over the stuffer. A cover is bolted onto the rim holding the stuffer and tendons in position. Importantly, the tendons, stuffer and cover are all installed onto the rim from the outside toward the vehicle, thereby easing installation and maintenance. The invention may be adapted for all-terrain vehicles, and the wheel may have diameter on the order of 7 inches, 14 inches, or any other appropriate dimensions.

Abstract: Classifiers may be used to analyze a valid certificate received from an unverified entity in an attempt to establish a secure connection with the unverified entity. The classifiers may determine a probability that the certificate is being used improperly by an unauthorized third party. An action may be taken based on the probability, such as allowing the unverified entity to establish a secure connection, blocking the unverified entity from establishing a secure connection, etc. The classifiers may be trained by employing machine learning techniques on a collection of valid, authorized certificates. Additionally, or alternatively, received certificates may be sampled for further analysis based on the probability and/or predefined sampling percentages.

Abstract: Transferring data by a gateway, the gateway being connected to a network with a SIMM-node. In response to a request to establish multi-MAC address routing information of a SIMM-node, obtaining multiple MAC addresses corresponding to an IP address of the SIMM-node. The multi-MAC address routing information of the SIMM-node is established at least according to the obtained multiple MAC addresses corresponding to the IP address of the SIMM-node. In response to having received a data message sent to the IP address of the SIMM-node, routing the data message by using the established multi-MAC address routing information of the SIMM-node.

Abstract: Transferring data by a gateway that is connected to a network with a SIMM-node. In response to a request to establish multi-MAC address routing information of a SIMM-node, multiple MAC addresses are obtained, corresponding to an IP address of the SIMM-node. The multi-MAC address routing information, including information in a route table, an ARP table, and a NEXT_HOP table, is established by adding to the ARP table corresponding relationships of the IP address with the multiple MAC addresses of the SIMM-node. The corresponding relationships of the IP address with the multiple MAC addresses of the SIMM-node is added to the NEXT_HOP table. Routing entries of the SIMM-node are established in the route table. In response to receiving a data message sent to the IP address of the SIMM-node, the message is routed by using the established multi-MAC address routing information of the SIMM-node.

Abstract: A learning certificate authentication system comprising a certificate downloader configured to obtain a certificate, a feature extractor in communication with the certificate downloader that is configured to (i) parse information associated with the certificate and a pattern of use into actionable features and (ii) calculate a value associated with at least one of the actionable features, a classification extractor configured to process the vector with a learning model based on the pattern of use information, a processor, and a non-transitory memory having instructions that, in response to an execution by the processor, cause the processor to calculate a probability of authenticity based on the processed vector are disclosed. Methods of authenticating certificates are also disclosed.

Abstract: Transferring data by a gateway that is connected to a network with a SIMM-node. In response to a request to establish multi-MAC address routing information of a SIMM-node, multiple MAC addresses are obtained, corresponding to an IP address of the SIMM-node. The multi-MAC address routing information, including information in a route table, an ARP table, and a NEXT_HOP table, is established by adding to the ARP table corresponding relationships of the IP address with the multiple MAC addresses of the SIMM-node. The corresponding relationships of the IP address with the multiple MAC addresses of the SIMM-node is added to the NEXT_HOP table. Routing entries of the SIMM-node are established in the route table. In response to receiving a data message sent to the IP address of the SIMM-node, the message is routed by using the established multi-MAC address routing information of the SIMM-node.