Abstract: A computing device includes a processor and a medium storing instructions. The instructions are executable by the processor to: in response to a receipt of an electronic request comprising one or more structured data fields and one or more unstructured data fields, identify a set of previous electronic requests using the one or more structured data fields of the received electronic request; train a probabilistic classification model using at least one structured data field of the identified set of previous electronic requests; execute the trained probabilistic classification model using the one or more unstructured data fields of the received electronic request; and automatically select a request handler using an output of the executed probabilistic classification model.

Abstract: Systems and methods of the present disclosure relate to calibration of resistivity logging tool. A method to calibrate a resistivity logging tool comprises disposing the resistivity logging tool into a formation; acquiring a signal at each logging point with the resistivity logging tool; assuming a formation model for a first set of continuous logging points in the formation; inverting all of the signals for unknown model parameters of the formation model, wherein the formation model is the same for all of the continuous logging points in the first set; assigning at least one calibration coefficient to each type of signal, wherein the calibration coefficients are the same for the first set; and building an unknown vector that includes the unknown model parameters and the calibration coefficients, to calibrate the resistivity logging tool.

Abstract: The present disclosure provides a method and device for constructing an autism spectrum disorder (ASD) risk prediction model. The method includes: establishing a first data table and a second data table based on case information of a sample set, obtaining a first grouped table set and a second grouped table set according to a preset characteristic arrangement rule and marker grouping rule, training data based on a random forest machine learning algorithm, and importing test data to obtain a first best characteristic combination and a second characteristic combination; and obtaining a first model based on the first best characteristic combination, stratified sampling of the first data table, and the random forest machine learning algorithm, obtaining a second model based on the second best characteristic combination, stratified sampling of the second data table, and the random forest machine learning algorithm, and performing combination to construct an ASD risk prediction model.

Abstract: Micro-term modeling for chat discourse includes determining, using computer hardware, a role of a user and a domain of reference of the user based on electronic chat messages for the user across a plurality of group chats, determining, using the computer hardware, topics from a selected group chat in which the user is a participant, determining, using the computer hardware and from the selected group chat, a segment of interest to the user based on the role, the domain of reference, and the topics found in the selected group chat, and providing, using the computer hardware, an indicator of the segment of interest.

Abstract: Micro-term modeling for chat discourse includes determining, using computer hardware, a role of a user and a domain of reference of the user based on electronic chat messages for the user across a plurality of group chats, determining, using the computer hardware, topics from a selected group chat in which the user is a participant, determining, using the computer hardware and from the selected group chat, a segment of interest to the user based on the role, the domain of reference, and the topics found in the selected group chat, and providing, using the computer hardware, an indicator of the segment of interest.

Abstract: An approach is provided in which an information handling system receives, at a network virtualization edge (NVE), a set of Diffserv parameters comprising at least one classifier parameter, at least one meter parameter, at least one marker parameter, and at least one shaper/dropper parameter. The NVE performs a deep inspection on a plurality of data packets to classify the plurality of data packets at one or more classification levels. In turn, the NVE passes the set of Diffserv parameters and the one or more classification levels to underlay switch hardware.

Abstract: A method includes obtaining, by one or more processor, data from a virtual network of a tenant and an identifier of the tenant, where the virtual network of the tenant is one of at least two virtual networks in a shared computing environment where the at least two virtual networks overlay a physical network. Based on obtaining the identifier of the tenant, the method includes setting, by one or more processor, the identifier in metadata of the data and based on the identifier in the metadata, identifying, by the one or more processor, a network connection associated with the tenant. The method also includes identifying, by the one or more processor, a policy of the network connection and processing the data with the policy to create processed data and transmitting, by the one or more processor, the processed data through the network connection.

Abstract: An approach is provided in which an information handling system receives, at a network virtualization edge (NVE), a set of Diffserv parameters comprising at least one classifier parameter, at least one meter parameter, at least one marker parameter, and at least one shaper/dropper parameter. The NVE performs a deep inspection on a plurality of data packets to classify the plurality of data packets at one or more classification levels. In turn, the NVE passes the set of Diffserv parameters and the one or more classification levels to underlay switch hardware.

Abstract: An approach is provided in which an information handling system matches packet properties of an egress data packet to a classification rule corresponding to differentiated services (DiffServ) parameters. The information handling system encapsulates the egress data packet with a network virtualization overlay header that includes a DiffServ classification identifier corresponding to the DiffServ classification rule. In turn, the information handling system sends the encapsulated egress data packet to a downstream network component.

Abstract: A method includes obtaining, by one or more processor, data from a virtual network of a tenant and an identifier of the tenant, where the virtual network of the tenant is one of at least two virtual networks in a shared computing environment where the at least two virtual networks overlay a physical network. Based on obtaining the identifier of the tenant, the method includes setting, by one or more processor, the identifier in metadata of the data and based on the identifier in the metadata, identifying, by the one or more processor, a network connection associated with the tenant. The method also includes identifying, by the one or more processor, a policy of the network connection and processing the data with the policy to create processed data and transmitting, by the one or more processor, the processed data through the network connection.

Abstract: An approach is provided in which an information handling system matches packet properties of an egress data packet to a classification rule corresponding to differentiated services (DiffServ) parameters. The information handling system encapsulates the egress data packet with a network virtualization overlay header that includes a DiffServ classification identifier corresponding to the DiffServ classification rule. In turn, the information handling system sends the encapsulated egress data packet to a downstream network component.

Abstract: A method includes obtaining, by one or more processor, data from a virtual network of a tenant and an identifier of the tenant, where the virtual network of the tenant is one of at least two virtual networks in a shared computing environment where the at least two virtual networks overlay a physical network. Based on obtaining the identifier of the tenant, the method includes setting, by one or more processor, the identifier in metadata of the data and based on the identifier in the metadata, identifying, by the one or more processor, a network connection associated with the tenant. The method also includes identifying, by the one or more processor, a policy of the network connection and processing the data with the policy to create processed data and transmitting, by the one or more processor, the processed data through the network connection.

Abstract: A first set of concealment attributes is received from a first user. The first set of user concealment attributes are associated with a document. A first set of document concealment attributes is received from the user. The first set of document concealment attributes are associated with the document. The document, based on the first set of concealment attributes and the first set of document concealment attributes, is stored.

Abstract: A method includes obtaining, by one or more processor, data from a virtual network of a tenant and an identifier of the tenant, where the virtual network of the tenant is one of at least two virtual networks in a shared computing environment where the at least two virtual networks overlay a physical network. Based on obtaining the identifier of the tenant, the method includes setting, by one or more processor, the identifier in metadata of the data and based on the identifier in the metadata, identifying, by the one or more processor, a network connection associated with the tenant. The method also includes identifying, by the one or more processor, a policy of the network connection and processing the data with the policy to create processed data and transmitting, by the one or more processor, the processed data through the network connection.

Abstract: A system and method of enabling transmission control protocol (TCP) splice between a client application and a server, while maintaining control of the connections by a contest-based charging proxy. The system framework includes a TCP splicing module for splicing connections between a client application and a server, an application proxy (e.g., content-based charging proxy) for redirecting a request of the client application, and a content-based charging engine for determining the classification of the data flow between the client application and the server. If the data flow has a predetermined classification or a triggering event has been detected, the content-based charging engine transfers control of the connections to the application proxy. The application proxy, for example, can redirect the client application to a predetermined service or source based on the classification of the data flow.

Abstract: A system and method of enabling transmission control protocol (TCP) splice between a client application and a server, while maintaining control of the connections by a contest-based charging proxy. The system framework includes a TCP splicing module tor splicing connections between a client application and a server, an application proxy (e.g., content-based charging proxy) for redirecting a request of the client application, and a content-based charging engine for determining the classification of the data flow between the client application and the server. if the data flow has a predetermined classification or a triggering event has been detected, the content-based charging engine transfers control of the connections to the application proxy. The application proxy, for example, can redirect the client application to a predetermined service or source based on the classification of the data flow.

Abstract: A system and method of enabling transmission control protocol (TCP) splice between a client application and a server, while maintaining control of the connections by a content-based charging proxy. The system framework includes a TCP splicing module for splicing connections between a client application and a server, an application proxy (e.g., content-based charging proxy) for redirecting a request of the client application, and a content-based charging engine for determining the classification of the data flow between the client application and the server. If the data flow has a predetermined classification or a triggering event has been detected, the content-based charging engine transfers control of the connections to the application proxy. The application proxy, for example, can redirect the client application to a predetermined service or source based on the classification of the data flow.

Abstract: A fan motor device includes a fan base, an impeller set and a motor set. The fan base extends a central barrel with ball bearings fitting with the barrel. The impeller set further includes an impeller, a shaft, a spring, a motor case and a magnet. The motor set further includes an insulation frame, a silicone sheet set, a coil and a circuit board. The barrel has an annular deep groove between the inner circumferential side and the outer circumferential side thereof for a stop ring being attached to an inner wall surface of the groove to reinforce the outer circumferential side so as to prevent the barrel from bending deformation and the motor set from displacing eccentrically or loosening off.

Abstract: The invention is to provide a navigating method and system for drilling operation in spinal surgery. The method and system is applied to the subjects who receive pedicle insertion operation in spinal surgery. The specific vertebras are under radiography using X-ray machine at both anterior/posterior and lateral views. These imaging are then transmitted into a computer system for image distortion correction and registration. By drawing the safety regions of the pedicle on the indicated vertebra in both AP and Lat. images, three-dimensional safety volumes of the pedicle of the vertebra are developed by intersection operation. Therefore, prior to and during the clinical spine operation, surgeons are able to safe navigation by referring the referential orientation via the developed system.