Abstract: Disclosed are a dynamic error measurement apparatus, system, and method for an electricity meter. The measurement apparatus includes a test signal generation unit configured to generate a voltage test signal and two-circuit current test signals, output the voltage test signal to a measurement unit, and output the two-circuit current test signals to the measurement unit and a current summation unit; the measurement unit configured to determine two-circuit electric energy values based on the voltage test signal and the two-circuit current test signals, and output the two-circuit electric energy values to a calculation control unit; the current summation unit configured to determine a combined current signal based on the two-circuit current test signals; and the calculation control unit configured to determine a total electric energy value based on the two-circuit electric energy values. The system includes a standard meter and a measurement apparatus.

Abstract: The present disclosure discloses a multilayer annular pore nickel-cobalt-aluminum precursor and a preparation method and a positive electrode material thereof. The precursor D50 is 8 to 20 ?m. It may be seen from a section diagram that there is a plurality of layers of annular pores in a secondary spherical particle structure, and a average porosity value of the section with a single particle or a plurality of particles is 6% to 14%. A co-precipitation reaction of nickel-cobalt mixed salt solution, alkali-aluminum solution, a complexing agent, and a precipitating agent is performed, a pH value and a concentration of aluminum solution at each stage are strictly controlled, and then working procedures of solid-liquid separating, washing, drying, mixing, sieving, and demagnetizing are performed to obtain the multilayer annular pore nickel-cobalt-aluminum precursor.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer-readable media, for providing network activity performance data in a content infrastructure. Instructions stored in the system or apparatus, when executed by processors, cause the processors to: identify a content item provided by a content provider device; calculate a set of keyword scores for the set of keywords, each keyword score calculated to measure a relationship between a semantic word cluster of the keyword and a semantic word cluster of an other content for which the content item was previously selected; determine an effect that a particular keyword of the set of keywords has on the online content selection process based on the set of keyword scores; generate a report indicating the effect that the particular keyword has on the online content selection process; and provide, via a network, the report to a client device.

Abstract: A method and system for adjusting ads auction using predicted user responses to an in-ad survey is provided. The method includes (1) providing a content item associated with an actionable object, which when selected, causes a computing device to present a plurality of interactive elements each corresponding to a different one of a plurality of reasons for restricting the content item; (2) receiving, from the computing device, data indicating a particular reason, of the plurality of reasons, for restricting the content item, and the particular reason corresponding to a particular interactive element, of the plurality of interactive elements, that was selected by the user; and (3) updating, using the received data, a content selection model for selecting content items, wherein the content selection model is associated with the user.

Abstract: The present disclosure selects third party content based on feedback. A selector identifies several content items including first and second content items (or more) responsive to a request. A machine learning engine determines a first feature of the first content item, a second feature of the second content item, and a third feature of the web page or a device associated with the request. The machine learning engine determines, responsive to the first feature and the third feature, a first score for the first content item based on a machine learning model generated using historical signals received from devices via a metadata channel formed from an electronic feedback interface. The machine learning engine determines a second score for the second content item responsive to the second feature and the third feature. A bidding module determines a price for the first content item based on the first and second scores.

Abstract: Systems and methods of evaluating information in a computer network environment are provided. A data processing system can obtain or receive a content placement criterion, such as a keyword, associated with a content item and can determine a quality metric of the content placement criterion. The data processing system can identify a candidate content placement criterion and expand placement criteria associated with the content item to include the content placement criterion and the candidate content placement criterion based at least in part on an evaluation of the quality metric of the content placement criterion. The data processing system can expand placement criteria based in part on a throttling parameter. The data processing system can identify a correlation between a document and the placement criteria to identify appropriate content items for the document.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer-readable media, for providing network activity performance data in a content infrastructure. Instructions stored in the system or apparatus, when executed by processors, cause the processors to: identify a content item provided by a content provider device; calculate a set of keyword scores for the set of keywords, each keyword score calculated to measure a relationship between a semantic word cluster of the keyword and a semantic word cluster of an other content for which the content item was previously selected; determine an effect that a particular keyword of the set of keywords has on the online content selection process based on the set of keyword scores; generate a report indicating the effect that the particular keyword has on the online content selection process; and provide, via a network, the report to a client device.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer-readable media, for advertisement keyword scoring. A processing circuit receives a request for an advertisement to be provided to a user during a user session. The advertisement is to be provided alongside other content that is associated with a first plurality of keywords. A processing circuit identifies a plurality of advertisements based on the first plurality of keywords. Each of the plurality of advertisements are associated with a second plurality of keywords. The processing circuit calculates a keyword score for each of the second plurality of keywords for each of the plurality of advertisements. Based on the keyword score, one of the keywords for each of the plurality of the plurality of advertisements is selected. Based on a comparison of the selected keywords, the advertisement to be provided to the user is selected.

Abstract: The invention discloses a method for obtaining the geometrical and mechanical parameters of rock samples and a holographic scanning system thereof, wherein the system includes an observation mechanism, a multi-scale penetration mechanism, a grinding mechanism, a rock sample installation mechanism arranged on a three-axis precision motion platform, and an industrial computer controlling the operation mode of each mechanism of the platform Indentation/rotary penetration test, pulse echo signal acquisition, three-dimensional surface topography reconstruction, layer by layer grinding and repeated experiments are carried out. The geometric parameters and corresponding mechanical field parameters are obtained by spatial interpolation of the three-dimensional parameter lattice accumulated by several layers of single-layer rock parameters. The holographic scanning system and method can obtain the real spatial distribution of various media in rock samples.

Abstract: Systems and methods of evaluating information in a computer network environment are provided. A data processing system can obtain or receive a content placement criterion, such as a keyword, associated with a content item and can determine a quality metric of the content placement criterion. The data processing system can identify a candidate content placement criterion and expand placement criteria associated with the content item to include the content placement criterion and the candidate content placement criterion based at least in part on an evaluation of the quality metric of the content placement criterion. The data processing system can expand placement criteria based in part on a throttling parameter. The data processing system can identify a correlation between a document and the placement criteria to identify appropriate content items for the document.

Abstract: The invention discloses a method for obtaining the geometrical and mechanical parameters of rock samples and a holographic scanning system thereof, wherein the system includes an observation mechanism, a multi-scale penetration mechanism, a grinding mechanism, a rock sample installation mechanism arranged on a three-axis precision motion platform, and an industrial computer controlling the operation mode of each mechanism of the platform Indentation/rotary penetration test, pulse echo signal acquisition, three-dimensional surface topography reconstruction, layer by layer grinding and repeated experiments are carried out. The geometric parameters and corresponding mechanical field parameters are obtained by spatial interpolation of the three-dimensional parameter lattice accumulated by several layers of single-layer rock parameters. The holographic scanning system and method can obtain the real spatial distribution of various media in rock samples.

Abstract: Systems and methods of evaluating information in a computer network environment are provided. A data processing system can obtain or receive a content placement criterion, such as a keyword, associated with a content item and can determine a quality metric of the content placement criterion. The data processing system can identify a candidate content placement criterion and expand placement criteria associated with the content item to include the content placement criterion and the candidate content placement criterion based at least in part on an evaluation of the quality metric of the content placement criterion. The data processing system can expand placement criteria based in part on a throttling parameter. The data processing system can identify a correlation between a document and the placement criteria to identify appropriate content items for the document.

Abstract: The present disclosure selects third party content based on feedback. A selector identifies several content items including first and second content items (or more) responsive to a request. A machine learning engine determines a first feature of the first content item, a second feature of the second content item, and a third feature of the web page or a device associated with the request. The machine learning engine determines, responsive to the first feature and the third feature, a first score for the first content item based on a machine learning model generated using historical signals received from devices via a metadata channel formed from an electronic feedback interface. The machine learning engine determines a second score for the second content item responsive to the second feature and the third feature. A bidding module determines a price for the first content item based on the first and second scores.

Abstract: The present disclosure selects third party content based on feedback. A selector identifies several content items including first and second content items (or more) responsive to a request. A machine learning engine determines a first feature of the first content item, a second feature of the second content item, and a third feature of the web page or a device associated with the request. The machine learning engine determines, responsive to the first feature and the third feature, a first score for the first content item based on a machine learning model generated using historical signals received from devices via a metadata channel formed from an electronic feedback interface. The machine learning engine determines a second score for the second content item responsive to the second feature and the third feature. A bidding module determines a price for the first content item based on the first and second scores.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer-readable media, for advertisement keyword scoring. A processing circuit receives a request for an advertisement to be provided to a user during a user session. The advertisement is to be provided alongside other content that is associated with a first plurality of keywords. A processing circuit identifies a plurality of advertisements based on the first plurality of keywords. Each of the plurality of advertisements are associated with a second plurality of keywords. The processing circuit calculates a keyword score for each of the second plurality of keywords for each of the plurality of advertisements. Based on the keyword score, one of the keywords for each of the plurality of the plurality of advertisements is selected. Based on a comparison of the selected keywords, the advertisement to be provided to the user is selected.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer-readable media, for advertisement keyword scoring. A processing circuit receives a request for an advertisement to be provided to a user during a user session. The advertisement is to be provided alongside other content that is associated with a first plurality of keywords. A processing circuit identifies a plurality of advertisements based on the first plurality of keywords. Each of the plurality of advertisements are associated with a second plurality of keywords. The processing circuit calculates a keyword score for each of the second plurality of keywords for each of the plurality of advertisements. Based on the keyword score, one of the keywords for each of the plurality of the plurality of advertisements is selected. Based on a comparison of the selected keywords, the advertisement to be provided to the user is selected.

Abstract: The present disclosure selects third party content based on feedback. A selector identifies several content items including first and second content items (or more) responsive to a request. A machine learning engine determines a first feature of the first content item, a second feature of the second content item, and a third feature of the web page or a device associated with the request. The machine learning engine determines, responsive to the first feature and the third feature, a first score for the first content item based on a machine learning model generated using historical signals received from devices via a metadata channel formed from an electronic feedback interface. The machine learning engine determines a second score for the second content item responsive to the second feature and the third feature. A bidding module determines a price for the first content item based on the first and second scores.

Abstract: Systems and methods of evaluating information in a computer network environment are provided. A data processing system can obtain or receive a content placement criterion, such as a keyword, associated with a content item and can determine a quality metric of the content placement criterion. The data processing system can identify a candidate content placement criterion and expand placement criteria associated with the content item to include the content placement criterion and the candidate content placement criterion based at least in part on an evaluation of the quality metric of the content placement criterion. The data processing system can expand placement criteria based in part on a throttling parameter. The data processing system can identify a correlation between a document and the placement criteria to identify appropriate content items for the document.

Abstract: The present disclosure selects third party content based on feedback. A selector identifies several content items including first and second content items (or more) responsive to a request. A machine learning engine determines a first feature of the first content item, a second feature of the second content item, and a third feature of the web page or a device associated with the request. The machine learning engine determines, responsive to the first feature and the third feature, a first score for the first content item based on a machine learning model generated using historical signals received from devices via a metadata channel formed from an electronic feedback interface. The machine learning engine determines a second score for the second content item responsive to the second feature and the third feature. A bidding module determines a price for the first content item based on the first and second scores.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer-readable media, for advertisement keyword scoring. A processing circuit receives a request for an advertisement to be provided to a user during a user session. The advertisement is to be provided alongside other content that is associated with a first plurality of keywords. A processing circuit identifies a plurality of advertisements based on the first plurality of keywords. Each of the plurality of advertisements are associated with a second plurality of keywords. The processing circuit calculates a keyword score for each of the second plurality of keywords for each of the plurality of advertisements. Based on the keyword score, one of the keywords for each of the plurality of the plurality of advertisements is selected. Based on a comparison of the selected keywords, the advertisement to be provided to the user is selected.