Abstract: A novel thermoplastic polyaminoether having good adhesion to asphalt and capable of being prepared at room temperature with short processing time; a multilayer including a layer of a thermoplastic polyaminoether capable of providing a wide operation window; and a thermoplastic asphalt composition including a thermoplastic polyaminoether with a high tensile strength.

Abstract: A method includes: when a login request is received from a user, sending account information input by the user to a user center server of a smart TV for authentication; after the authentication succeeds and login is completed, receiving login information returned by the user center server and corresponding to the account information, and saving the login information in a preset database; and when the user enables a target application in the smart TV, receiving a login status query request sent by the target application, returning a response message to the target application, and notifying the target application that the current user has logged in, so that the target application acquires corresponding login information from the preset database, and completes a service request by using the login information. With the present disclosure, uniform account management on various applications in a smart TV can be achieved, thereby saving resources.

Abstract: A distributed system for downloading distributed Internet information and a method thereof are disclosed. A distribution subsystem receives downloading task information from a user, and sends the downloading task information to a downloading subsystem. The downloading subsystem downloads task result information according to the downloading task information, and sends the task result information to the distribution subsystem. The distribution subsystem receives the task result information, and returns the task result information to the user made the request. The physical environment of the system can include a distribution server and a downloading subsystem group, the internal function of the system is to assign the required tasks to the downloading subsystem group based on a queue model, the downloading subsystem group can process the assigned tasks concurrently.

Abstract: A curable asphalt composition comprising (i) an asphalt emulsion comprising: (a) asphalt; (b) a phenalkamine compound; (c) 0-5 wt % of an emulsifier, based on the total weight of the asphalt emulsion; (d) an acid; and (e) water; and (ii) a water borne epoxy resin; and the process of making the same.

Abstract: A novel phenalkamine composition capable of emulsifying asphalt to form a stable asphalt emulsion composition; a curable asphalt composition comprising such asphalt emulsion composition and a waterborne epoxy resin showing improved pull-off adhesion strength from a substrate; and a process of preparing the phenalkamine composition.

Abstract: A curing agent composition for an epoxy compound including (a) at least one phenalkamine, and (b) at least one isocyanate; a curable composition including (I) at least one epoxy compound, (II) at least one phenalkamine, and (III) at least one isocyanate; and a thermoset prepared from the above curable composition.

Abstract: An optical line terminal (OLT) device and an implementation method thereof, relate to the field of a passive optical network (PON). The OLT device includes an interface unit for receiving data in an Ethernet format sent by a service processing apparatus, performing protocol processing on the received data in the Ethernet format, converting the data after the protocol processing into a transmission signal corresponding to a sending interface, and then transmitting the transmission signal to an external device, as well as receiving message data sent by the external device, converting the message data for protocol processing corresponding to the service processing apparatus, converting the signal after the protocol processing into data in the Ethernet format, and transmitting the data to the service processing apparatus; the service processing apparatus performing service processing on the data transmitted by the interface unit, and transmitting the processed data to the interface unit.

Abstract: A method of optimizing a drilling operating parameter or a drilling system parameter for a drilling assembly employing at least first and second distinct cutting structures includes entering at least one design parameter for each of the cutting structures into a trained artificial neural network. At least one of the design parameters of the first cutting structure may be optionally combined with at least one of the design parameters of the second cutting structure. The combined design parameter may also be entered into the artificial neural network.

Abstract: A distributed system for downloading distributed Internet information and a method thereof are disclosed. A distribution subsystem receives downloading task information from a user, and sends the downloading task information to a downloading subsystem. The downloading subsystem downloads task result information according to the downloading task information, and sends the task result information to the distribution subsystem. The distribution subsystem receives the task result information, and returns the task result information to the user made the request. The physical environment of the system can include a distribution server and a downloading subsystem group, the internal function of the system is to assign the required tasks to the downloading subsystem group based on a queue model, the downloading subsystem group can process the assigned tasks concurrently.

Abstract: The present invention relates to a mixed metal oxide of formula SrM1-xTixO3 wherein x is 0>x>1 and M is Hf or Zr, such as a strontium-hafnium-titanium oxide orstrontium-zirconium-titanium oxide, and to a functional device comprising the mixed metal oxide.

Abstract: A method of optimizing a drilling operating parameter or a drilling system parameter for a drilling assembly employing at least first and second distinct cutting structures includes entering at least one design parameter for each of the cutting structures into a trained artificial neural network. At least one of the design parameters of the first cutting structure may be optionally combined with at least one of the design parameters of the second cutting structure. The combined design parameter may also be entered into the artificial neural network.

Abstract: A charge pump circuit and a method of compensating current mismatch in a charge pump circuit. The charge pump circuit comprises a core charge pump circuit; a replica charge pump circuit for sensing a current mismatch in the core charge pump circuit and for converting the sensed current mismatch into a voltage signal V_ctrl; wherein V-ctrl is utilized for compensating the current mismatch in the core charge pump circuit.

Abstract: A charge pump circuit and a method of compensating current mismatch in a charge pump circuit. The charge pump circuit comprises a core charge pump circuit; a replica charge pump circuit for sensing a current mismatch in the core charge pump circuit and for converting the sensed current mismatch into a voltage signal V_ctrl; wherein V-ctrl is utilized for compensating the current mismatch in the core charge pump circuit.

Abstract: A method for aggregating data that includes obtaining a log object including a log element, wherein the log element includes oilfield data obtained from a provider, obtaining an aggregation policy for the log element, and aggregating the log element into an aggregated object based on the aggregation policy is disclosed.

Abstract: A method of optimizing drilling including identifying design parameters for a drilling tool assembly, preserving the design parameters as experience data, and training at least one artificial neural network using the experience data. The method also includes collecting real-time data from the drilling operation, analyzing the real-time data with a real-time drilling optimization system, and determining optimal drilling parameters based on the analyzing the real-time date with the real-time drilling optimization system. Also, a method for optimizing drilling in real-time including collecting real-time data from a drilling operation and comparing the real-time data against predicted data in a real-time optimization system, wherein the real-time optimization includes at least one artificial neural network. The method further includes determining optimal drilling parameters based on the comparing the real-time data with the predicted data in the real-time drilling optimization system.