Abstract: A method, processing system and processor-readable medium for generating network configurations using a graph neural network (GNN) are provided. The method may include receiving a first matrix M generated based on a set of network requirements; storing a GNN having a plurality of nodes v and a plurality of edges; initializing the GNN based on a second matrix Xv having a plurality of elements, each element corresponding to a node from a plurality of nodes v of the GNN; and generating an output matrix having a plurality of nodes labelled based on the first matrix M.

Abstract: There is provided methods and devices for network management. A method includes receiving at least one data flow, transmitting in-band management packet periodically for each of the at least one data flow, receiving in-band acknowledgement packets for each of the at least one data flow, and producing network management data based on received in-band acknowledgement packets. A device includes a processor, and a non-transient computer readable memory having stored thereon machine executable instructions which when executed by the processor configure the device to execute the methods disclosed herein. A system includes a source node, a receiver and a data-plane device, the system configured to execute the methods disclosed herein.

Abstract: Providing a human primary myelofibrosis (PMF) cell strain, a construction method therefor and use thereof. The PMF cell strain is named as ZYXY-M2, and is deposited in China Center for Type Culture Collection (Wuhan University, Wuhan, China), with a preservation number of CCTCC NO: C202145. The present application is obtained by extracting and separating mononuclear cells from peripheral blood of a PMF patient and culturing in vitro for continuous natural passage. The leukemia cell strain is negative for JAK2, CALR, MPL mutation, positive for ASXL1, TP53, IKZF1, IDH1, FLT3 and TET1. The cell strain has good proliferation ability in vitro, and can be used as a cell material to study the pathogenesis of PMF and individualized treatment in vitro. Meanwhile, it can also be used to screen and evaluate drugs for in vitro and in vivo research of human PMF and guide clinical medication.

Abstract: Methods, systems, and computer programs are presented for providing a unified search tool for searching data in multiple domains. One method includes an operation for causing presentation of a user interface (UI) for entering one or more search parameters to search items in two or more domains. Each domain is owned by a different entity and data for each domain is acquired by the corresponding entity. Further, the method includes operations for receiving one or more search parameters values, searching, in response to the received search parameter values, the two or more domains based on the search parameters values, and ranking separately search results for each domain. Further, the method includes causing presentation in the UI of the search results for the two or more domains based on the ranking, the search results for each domain being presented in a separate results list.

Abstract: A method, processing system and processor-readable medium for generating network configurations using a graph neural network (GNN) are provided. The method may include receiving a first matrix M generated based on a set of network requirements; storing a GNN having a plurality of nodes v and a plurality of edges; initializing the GNN based on a second matrix Xv having a plurality of elements, each element corresponding to a node from a plurality of nodes v of the GNN; and generating an output matrix having a plurality of nodes labelled based on the first matrix M.

Abstract: There is provided methods and devices for network management. A method includes receiving at least one data flow, transmitting in-band management packet periodically for each of the at least one data flow, receiving in-band acknowledgement packets for each of the at least one data flow, and producing network management data based on received in-band acknowledgement packets. A device includes a processor, and a non-transient computer readable memory having stored thereon machine executable instructions which when executed by the processor configure the device to execute the methods disclosed herein. A system includes a source node, a receiver and a data-plane device, the system configured to execute the methods disclosed herein.

Abstract: The present application discloses a human T-lymphoblastic leukemia/lymphoma cell strain named as ZYXY-T1, and its construction method and use thereof. It was conserved in China Center for Type Culture Collection (Wuhan, China) on Jan. 20, 2021, and the preservation number was CCTCC NO: C202143. The present application is obtained by separating mononuclear cells from peripheral blood of one ETP-ALL patient, and culturing the cells in vitro for continuous natural passage. The strain has the typical surface antigen expression characteristics of ETP-ALL, that is, it does not express CD1?, CD5 or CD8, and highly expresses a stem cell marker CD34, and has good proliferation ability in vitro and tumorigenesis ability in vivo; it can be used as a cell material to study the occurrence and development mechanism of ETP-ALL, and can also be used to screen and evaluate ETP-ALL drugs to guide clinical medication.

Abstract: The disclosed embodiments provide a system for performing quality-based scoring. During operation, the system determines, based on data retrieved from a data store in an online system, features related to a completeness of attributes in an opportunity posted in the online system and a source of the opportunity. Next, the system performs one or more operations that apply a first machine learning model to the features to generate a quality score representing a prediction of user engagement with the opportunity. The system then adjusts calculation of a relevance score representing a likelihood of a positive outcome between a user and the opportunity based on the quality score. Finally, the system modifies content outputted in a user interface of the online system based on the adjusted calculation of the relevance score.

Abstract: The disclosed embodiments provide a system for predicting response rates. During operation, the system determines features representing historical applications to opportunities and historical responses to the historical applications by a poster of the opportunities, wherein the historical responses include interactions between the poster and candidates submitting the historical applications and notifications transmitted to the candidates of actions related to the historical applications by the poster. Next, the system applies one or more operations to the features to generate a predicted response rate of the poster to an application for an opportunity by a member of the online system. The system then compares the predicted response rate to a threshold to determine a recommendation related to the application by the member. Finally, the system outputs, to the member in a user interface of the online system, the recommendation in association with the opportunity.

Abstract: The present invention discloses a method for implementing cross-domain constraint routing, through setting in addition the border node identifier in the ERO sub-objects saved in ERO corresponding to nodes that a route will pass, this invention realizes the distributed calculation of the route. When calculating the path of cross-domain constraint routing, the original node determines the first border node that the route will pass based on the border node identifiers set in the ERO sub-objects in ERO, calculates the path to the first border node, and then sends a PATH message; the first border node determines, based on the next ERO sub-object with a border node identifier in the ERO of the received PATH message, the next border node that the route will pass, calculates the path to the further next border node, and then sends the PATH message; . . . Repeat such a process until the PATH message reaches the destination node.

Abstract: The present invention discloses a method for implementing cross-domain constraint routing, through setting in addition the border node identifier in the ERO sub-objects saved in ERO corresponding to nodes that a route will pass, this invention realizes the distributed calculation of the route. When calculating the path of cross-domain constraint routing, the original node determines the first border node that the route will pass based on the border node identifiers set in the ERO sub-objects in ERO, calculates the path to the first border node, and then sends a PATH message; the first border node determines, based on the next ERO sub-object with a border node identifier in the ERO of the received PATH message, the next border node that the route will pass, calculates the path to the further next border node, and then sends the PATH message; . . . Repeat such a process until the PATH message reaches the destination node.

Abstract: A flow-control method for data traffic transmitted through SDH network, wherein: during data transmission through the SDH network, the EoS device generates and encapsulates LFP frames, maps the LFP frames into SDH payload, and transmits the SDH payload to the opposite device, which demaps the LFP frames from the SDH payload and executes the flow control information carried in the LFP frames; the carrier of the LFP frames may be standard PAUSE frame structure defined by 802.3x; LFP frame transparent or LFP frame regeneration may be used when the EoS device identifies LFP frames; the present invention is a high-performance method for flow control of data transmission, with high applicability and reliability.