Abstract: Methods and systems of risk assessment for network access control through data analytics. An embodiment of the invention employs well-known machine-learning clustering methods to learn normal entity behavior by looking for patterns in the events that stream in continuously. In an embodiment of the invention, normal entity behaviors are represented as clusters of event vectors. An embodiment of the invention evaluates the risk level for a new event of an entity by comparing the event with the entity's profile represented as clusters of event vectors. In an embodiment of the invention, the risk level is associated with a confidence level. Confidence level indicates how well the system knows about the entity. Embodiments of the invention do not need human administration in the process of building entity profile and assessing risk level of events associated with an entity.

Abstract: Aspects of the present disclosure involve a system comprising a storage medium storing a program and method for predicting a conversion rate. The program and method provide for receiving, from an advertisement service, a bid to display a first advertisement at a computing device; determining, in response to receiving the bid, a set of features that relate to the first advertisement; providing the set of features to a machine learning model configured to output a predicted conversion rate for the first advertisement, the machine learning model having been trained based on multi-task learning using plural sets of features corresponding to plural second advertisements, the plural sets of features being associated with both click-through conversions and view-through conversions; and determining, based on the output of the machine learning model with respect to the set of features, the predicted conversion rate for the first advertisement.

Abstract: Methods and systems of risk assessment for network access control through data analytics. An embodiment of the invention employs well-known machine-learning clustering methods to learn normal entity behavior by looking for patterns in the events that stream in continuously. In an embodiment of the invention, normal entity behaviors are represented as clusters of event vectors. An embodiment of the invention evaluates the risk level for a new event of an entity by comparing the event with the entity's profile represented as clusters of event vectors. In an embodiment of the invention, the risk level is associated with a confidence level. Confidence level indicates how well the system knows about the entity. Embodiments of the invention do not need human administration in the process of building entity profile and assessing risk level of events associated with an entity.

Abstract: Embodiments of the present application disclose a method and an apparatus for pushing information. One embodiment of the method comprises: in response to the receipt of an information push request sent by a user by means of a terminal, determining object information about at least one object associated with user information included in the information push request; determining target push information according to the user information, the object information, and a pre-established information determination model, the information determination model being used for characterizing a correlation between user information, object information, and target push information; and pushing the target push information to the terminal for the user to view by means of the terminal.

Abstract: A system and method for assessing the identity fraud risk of an entity's (a user's, computer process's, or device's) behavior within a computer network and then to take appropriate action. The system uses real-time machine learning for its assessment. It records the entity's log-in behavior (conditions at log-in) and behavior once logged in to create an entity profile that helps identify behavior patterns. The system compares new entity behavior with the entity profile to determine a risk score and a confidence level for the behavior. If the risk score and confidence level indicate a credible identity fraud risk at log-in, the system can require more factors of authentication before log-in succeeds. If the system detects risky behavior after log-in, it can take remedial action such as ending the entity's session, curtailing the entity's privileges, or notifying a human administrator.

Abstract: The present disclosure relates to a metal additive manufacturing extrusion mechanism for monitoring and improving mechanical properties in situ, and belongs to the technical field of metal additive manufacturing. The mechanism comprises a wire conveying unit, a composite cavity unit, a high-temperature loading unit, a temperature detecting unit, a pressure loading unit, a pressure detecting unit and an in-situ monitoring unit. Multi-stage high-temperature loading is achieved through silicon nitride heater components distributed in the piston, the outer wall of the cavity and the nozzle, and meanwhile service temperature detection is achieved through thermocouple components. Multi-stage pressurization is achieved through continuous pressure loading of the wire conveying mechanism and high-frequency pressure loading of the piston mechanism and the four-rod mechanism, and then service pressure detection is achieved through strain gauge components on the top of the piston and the inner wall of the cavity.

Abstract: Machine learning architectures may predict the likelihood of interaction by users with content items that are accessible using a client application. The machine learning architectures may include one or more feature interaction layers that are coupled with one or more extraction layers. Content items may be selected to provide to users of the client application based on probabilities of users performing one or more actions with respect to the content items, where the probabilities for each action are determined by the machine learning architectures.

Abstract: A self-powered automobile exhaust gas sensor including a supporting frame, a ferroelectric-triboelectric coupling functional film, and two metal electrodes. The ferroelectric-triboelectric coupling functional film comprises a first end fixed on the supporting beam in middle of the supporting frame, and a second end is freestanding. The two metal electrodes are grounded and adhered on the upper and lower sides of the supporting frame, respectively. An iron block is mounted on the top of the supporting frame.

Abstract: The present disclosure provides method and apparatus for processing a document through a plurality of input modalities. A first input may be received, and input modality and type of the first input may be identified, wherein the type includes command and content. A second input may be received, and input modality and type of the second input may be identified. The document may be processed based at least on an identification result for the first input and an identification result for the second input.

Abstract: Embodiments of the present application disclose a method and an apparatus for pushing information. One embodiment of the method comprises: in response to the receipt of an information push request sent by a user by means of a terminal, determining object information about at least one object associated with user information included in the information push request; determining target push information according to the user information, the object information, and a pre-established information determination model, the information determination model being used for characterizing a correlation between user information, object information, and target push information; and pushing the target push information to the terminal for the user to view by means of the terminal.

Abstract: Certain aspects relate to apparatuses and techniques for non-invasive optical imaging that acquires a plurality of images corresponding to both different times and different frequencies. Additionally, alternatives described herein are used with a variety of tissue classification applications, including assessing the presence and severity of tissue conditions, such as burns and other wounds.

Abstract: Certain aspects relate to apparatuses and techniques for non-invasive optical imaging that acquires a plurality of images corresponding to both different times and different frequencies. Additionally, alternatives described herein are used with a variety of tissue classification applications, including assessing the presence and severity of tissue conditions, such as burns and other wounds.

Abstract: A one-step solution casting method for preparing a PVDF-based pyroelectric polymer film is provided, which belongs to the technical field of functional material preparation. The method comprises steps of: treating a substrate with a hydrophilic reagent to obtain a hydrophilically-modified substrate, and then casting the organic solution of polyvinylidene fluoride (PVDF) or its copolymer on the hydrophilically-modified substrate. After cured, the as-casted PVDF-based film shows pyroelectricity without undergoing any stretching or poling post-treatment, indicates that the dipoles of the one-step prepared film are aligned. The self-polarization of the prepared film is attributed to a hydrogen bond induced layer-by-layer electrostatic self-assembly growth mechanism. The method is simple, low cost, high efficient, high capability to produce thick and large-area film with smooth morphology and ease to be scalized.

Abstract: The present disclosure relates to a novel isolated binding protein including a N-terminal pro-brain natriuretic peptide (NT-proBNP) antigen binding domain, and the preparation method therefor. The antigen-binding domain includes at least one complementarity determining region selected from the amino acid sequences as defined in the present disclosure: or; has at least 80% sequence identity with the complementarity determining region of the following amino acid sequence and has an affinity of KD?2.26×10?8 to NT-proBNP. The binding protein may be used in the detection field of NT-proBNP protein.

Abstract: Provided is an isolated binding protein including a Taq DNA polymerase antigen-binding domain. The antigen-binding domain includes at least one complementarity determining region selected from CDR-VH1-3 and CDR-VL1-3, or has at least 80% sequence identity with the complementarity determining region and has an affinity of KD?8.568×10?9 mol/L to the Taq DNA polymerase. The binding protein may be used in the field of molecular detection.

Abstract: A self-powered automobile exhaust gas sensor including a supporting frame, a ferroelectric-triboelectric coupling functional film, and two metal electrodes. The ferroelectric-triboelectric coupling functional film comprises a first end fixed on the supporting beam in middle of the supporting frame, and a second end is freestanding. The two metal electrodes are grounded and adhered on the upper and lower sides of the supporting frame, respectively. An iron block is mounted on the top of the supporting frame.

Abstract: Methods and systems of risk assessment for network access control through data analytics. An embodiment of the invention employs well-known machine-learning clustering methods to learn normal entity behavior by looking for patterns in the events that stream in continuously. In an embodiment of the invention, normal entity behaviors are represented as clusters of event vectors. An embodiment of the invention evaluates the risk level for a new event of an entity by comparing the event with the entity's profile represented as clusters of event vectors. In an embodiment of the invention, the risk level is associated with a confidence level. Confidence level indicates how well the system knows about the entity. Embodiments of the invention do not need human administration in the process of building entity profile and assessing risk level of events associated with an entity.

Abstract: The present disclosure relates to a metal additive manufacturing extrusion mechanism for monitoring and improving mechanical properties in situ, and belongs to the technical field of metal additive manufacturing. The mechanism comprises a wire conveying unit, a composite cavity unit, a high-temperature loading unit, a temperature detecting unit, a pressure loading unit, a pressure detecting unit and an in-situ monitoring unit. Multi-stage high-temperature loading is achieved through silicon nitride heater components distributed in the piston, the outer wall of the cavity and the nozzle, and meanwhile service temperature detection is achieved through thermocouple components. Multi-stage pressurization is achieved through continuous pressure loading of the wire conveying mechanism and high-frequency pressure loading of the piston mechanism and the four-rod mechanism, and then service pressure detection is achieved through strain gauge components on the top of the piston and the inner wall of the cavity.

Abstract: A system and method for assessing the identity fraud risk of an entity's (a user's, computer process's, or device's) behavior within a computer network and then to take appropriate action. The system uses real-time machine learning for its assessment. It records the entity's log-in behavior (conditions at log-in) and behavior once logged in to create an entity profile that helps identify behavior patterns. The system compares new entity behavior with the entity profile to determine a risk score and a confidence level for the behavior. If the risk score and confidence level indicate a credible identity fraud risk at log-in, the system can require more factors of authentication before log-in succeeds. If the system detects risky behavior after log-in, it can take remedial action such as ending the entity's session, curtailing the entity's privileges, or notifying a human administrator.

Abstract: The present disclosure provides method and apparatus for processing a document through a plurality of input modalities. A first input may be received, and input modality and type of the first input may be identified, wherein the type includes command and content. A second input may be received, and input modality and type of the second input may be identified. The document may be processed based at least on an identification result for the first input and an identification result for the second input.