Abstract: A drilling well underground kick processing method and device are described.

Abstract: A drilling well underground kick processing method and device are described.

Abstract: Generating granular clusters for real-time processing is provided. The systems can identify tokens based on aggregating input from computing devices over a time interval. The systems can identify, based on metrics, a subset of tokens for cluster generation. The systems can generate, via a clustering technique, token clusters from the subset of the tokens, each of the token clusters comprising two or more tokens from the subset of the tokens. The systems can apply a de-duplication technique to each of the token clusters. The systems can apply a filtering technique to the token clusters to remove tokens erroneously grouped in a token cluster. The systems can assign, based on a selection process, a label for each of the token clusters. The systems can activate, based on a number of remaining tokens in each of the token clusters, a subset of the token clusters for real-time content selection.

Abstract: The invention pertains to the field of food or medicine, and relates to a method for preparing modified starch, a liposome and a method for preparing liposome. Specifically, the method for preparing modified starch, comprises: (1) in a supercritical carbon dioxide medium, starch is used as raw material, ethanol is used as an entrainer, and the reaction is carried out under supercritical CO2 conditions to obtain a pretreated product; (2) separating and purifying the pretreated product of step (1); (3) using the pretreated product obtained in step (2) to prepare modified starch; and (4) separating and purifying the modified starch prepared in step (3). The liposome prepared from the modified starch of the present invention has good stability, encapsulation rate and bioavailability.

Abstract: Generating granular clusters for real-time processing is provided. The systems can identify tokens based on aggregating input from computing devices over a time interval. The systems can identify, based on metrics, a subset of tokens for cluster generation. The systems can generate, via a clustering technique, token clusters from the subset of the tokens, each of the token clusters comprising two or more tokens from the subset of the tokens. The systems can apply a de-duplication technique to each of the token clusters. The systems can apply a filtering technique to the token clusters to remove tokens erroneously grouped in a token cluster. The systems can assign, based on a selection process, a label for each of the token clusters. The systems can activate, based on a number of remaining tokens in each of the token clusters, a subset of the token clusters for real-time content selection.

Abstract: The present disclosure pertains to the technical field of vitamin K2, and relates to a vitamin K2 microcapsule, a preparation method thereof, and use thereof in the manufacture of a medicament for preventing and treating cardiovascular and cerebrovascular diseases. The vitamin K2 microcapsule contains the following components by weight: 0.001 to 10 parts of vitamin K2, 5 to 30 parts of polyunsaturated fatty acid source, 0.1 to 10 parts of vitamin E-polyethylene glycol succinate, 50 to 95 parts of water-phase wall material and 0.01 to 10 parts of antioxidant, the polyunsaturated fatty acid source contains an ?-6 source and an ?-3 source, and the antioxidant is a water-phase antioxidant and/or an oil-phase antioxidant. The vitamin K2 microcapsule prepared by the method of the present disclosure has good water solubility, good stability and high bioavailability, can significantly improve the preventive and/or therapeutic effects on cardiovascular and cerebrovascular diseases, and has broad application prospects.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for clustering data elements. In one aspect, a method includes determining a respective linkage value for each of multiple cluster pairs, where each cluster pair includes a respective first cluster and a respective second cluster. Determining a linkage value for a cluster pair includes determining a set of pairwise similarity values for the cluster pair. Each pairwise similarity value defines a similarity measure between: (i) a particular data element from the first cluster of the cluster pair, and (ii) a given data element from the second cluster of the cluster pair. The linkage value for the cluster pair is assigned as a given percentile of the set of pairwise similarity values, wherein the given percentile is greater than 0 and less than 100. A cluster pair is merged based on the linkage values of the cluster pairs.

Abstract: The present invention provides a method and equipment for optimizing hydraulic parameters of deepwater managed pressure drilling in real time. The method comprises: acquiring overflow parameters in the current drilling process, performing preprocessing and feature extraction on the overflow parameters, and inputting the overflow parameters into trained support vector machine identification models for overflow judgment. If overflow occurs at the current drilling depth, reducing an opening of a throttle valve and increasing a displacement of a submarine pump, measuring a wellhead back pressure and calculating a bottom hole pressure, and judging whether overflow continues is performed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for clustering data elements. In one aspect, a method includes determining a respective linkage value for each of multiple cluster pairs, where each cluster pair includes a respective first cluster and a respective second cluster. Determining a linkage value for a cluster pair includes determining a set of pairwise similarity values for the cluster pair. Each pairwise similarity value defines a similarity measure between: (i) a particular data element from the first cluster of the cluster pair, and (ii) a given data element from the second cluster of the cluster pair. The linkage value for the cluster pair is assigned as a given percentile of the set of pairwise similarity values, wherein the given percentile is greater than 0 and less than 100. A cluster pair is merged based on the linkage values of the cluster pairs.

Abstract: Generating granular clusters for real-time processing is provided. The systems can identify tokens based on aggregating input from computing devices over a time interval. The systems can identify, based on metrics, a subset of tokens for cluster generation. The systems can generate, via a clustering technique, token clusters from the subset of the tokens, each of the token clusters comprising two or more tokens from the subset of the tokens. The systems can apply a de-duplication technique to each of the token clusters. The systems can apply a filtering technique to the token clusters to remove tokens erroneously grouped in a token cluster. The systems can assign, based on a selection process, a label for each of the token clusters. The systems can activate, based on a number of remaining tokens in each of the token clusters, a subset of the token clusters for real-time content selection.

Abstract: The invention relates to a high-strength hollow fiber zeolite membrane and its preparation method, characterized in that the support of the high-strength zeolite membrane has a multi-channel hollow fiber configuration. The preparation method comprises first preparing a crystal seed solution, then immersing the dry support with the multi-channel hollow fiber configuration in the crystal seed solution, and extracting and drying the support to obtain a crystal-seeded support; and finally placing the crystal-seeded support in a zeolite membrane synthetic fluid, performing hydrothermal synthesis, and taking out, washing and drying the product to obtain the high-strength hollow fiber zeolite membrane. The multi-channel hollow fiber support can provide high mechanical property, which greatly reduces the depreciation rate of the hollow fiber zeolite membrane equipment during use.

Abstract: The present invention provides wellbore pressure control system and method for well cementation stages, and relates to the offshore oil and gas exploitation field. The wellbore pressure control system comprises: an injection pump; and a control device, configured to control the injection pump to inject a fluid or gas through an injection pipeline to a return pipeline that communicates with an annular space of the wellbore to decrease the pressure in the return pipeline and thereby decrease the pressure in the annular space, wherein, the density of the fluid or gas is lower than the density of a drilling fluid in the annular space. The technical scheme of the present invention can effectively prevent leaky zones from being fractured by high-density cement slurry in the well cementation process that may cause safety accidents such as well kick and well blowout, etc.

Abstract: The present invention relates to deep-water drilling in petroleum engineering and, in particular, to a subsea wellhead pressure indicating and automatic adjusting device for deep-water dual-gradient drilling, comprising a subsea drilling fluid manifold system and a subsea wellhead pressure indicating and automatic adjusting system, wherein the subsea drilling fluid manifold system provides a flow channel for the drilling fluid returning through the wellbore so that the drilling fluid can smoothly return to a drilling platform, and provides a basis for the subsea wellhead pressure indicating and automatic adjusting system; and wherein the subsea wellhead pressure indicating and automatic adjusting system can display and adjust the subsea wellhead pressure in real time, in order to keep the subsea wellhead pressure to be constantly equal to the hydrostatic pressure of the seawater at the seabed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for scoring criteria for content items. In one aspect, a method includes identifying a primary ranking signal and a set of auxiliary ranking signals for ranking a set of criteria for a content item. A primary score and a set of auxiliary scores can be identified for each particular criterion in the set of criteria. Each auxiliary score can be adjusted to generate adjusted auxiliary scores. The adjusting can include applying, to at least a portion of the auxiliary scores, a transformation function that reduces an amount of skewness among the auxiliary scores. A ranking score can be determined for each particular criterion based on a function of the primary score for the particular criterion and the adjusted auxiliary scores.

Abstract: The invention relates to a high-strength hollow fiber zeolite membrane and its preparation method, characterized in that the support of the high-strength zeolite membrane has a multi-channel hollow fiber configuration. The preparation method comprises first preparing a crystal seed solution, then immersing the dry support with the multi-channel hollow fiber configuration in the crystal seed solution, and extracting and drying the support to obtain a crystal-seeded support; and finally placing the crystal-seeded support in a zeolite membrane synthetic fluid, performing hydrothermal synthesis, and taking out, washing and drying the product to obtain the high-strength hollow fiber zeolite membrane. The multi-channel hollow fiber support can provide high mechanical property, which greatly reduces the depreciation rate of the hollow fiber zeolite membrane equipment during use.

Abstract: Methods, systems, and apparatus for diversifying selection criteria. An example method includes accessing a first set of selection criteria for a content item; selecting, based on the first set of selection criteria, a second set of selection criteria, the second set of selection criteria being a proper subset of the first set of selection criteria, the selection of each of the criteria in the second set comprising: determining a collective performance measure based on criteria that have been selected from the first set of selection criteria for inclusion in the second set of selection criteria, determining, for each criterion that has not been selected from the first set, a performance contribution to the collective performance measure, and selecting from the first set a selection criterion with the highest performance contribution relative to the performance contributions of other selection criteria that have not been selected for inclusion in the second set.

Abstract: Systems, methods, and computer-readable medium allow incorporation of delayed feedback in performance-based content delivery. A computer-implemented method includes receiving historical data indicative of performance of at least one first content item, determining a statistical distribution of the performance over time, applying the statistical distribution to a second content item to obtain an estimated performance of a second content item over time, and determining a pricing value of the second content item based on the estimated performance.

Abstract: Methods, systems, and apparatuses for forecasting pricing for an advertisement campaign that covers a set of impressions. A dynamic cost per mille (dCPM) value is defined for the campaign. An effective bid price is determined for each of the impressions to generate a plurality of effective bid prices. A parametric distribution is determined based on the plurality of effective bid prices. A mean and a variance are determined for the determined parametric distribution. Bids for the impressions are determined based on the effective bid prices and a participation probability function. The bids are determined in a manner that is independent of an order in which the bids are processed.

Abstract: A method, advertising network, and computer readable medium for forecasting ad traffic based on business metrics in performance-based display advertising. The method commences by defining a set of advertising campaign parameters, the advertising campaign parameters comprising target predicates, a campaign pricing model, and a campaign performance model. The method continues by forecasting a supply of impressions satisfying target predicates, based on a statistical analysis of a historical dataset containing impressions satisfying target predicates. Once a measure of forecasted supply is known, an auction model serves for calculating the likelihood of winning the forecasted impression at auction, based the campaign pricing model and the campaign performance model. Having a forecasted supply, and also an assessment of the likelihood of winning at auction, the method proceeds by determining values for various performance metrics.

Abstract: A system and method for recommending targeting attributes for advertising campaigns are provided. The system and method comprise receiving at least one advertizing campaign, receiving historical targeting data and historical click-through data, selecting a machine learning model, and determining recommended targeting attributes for the advertising campaign using the machine learning model and the received data. The machine learning model may be a collaborative filtering model or a performance oriented model. The collaborative filtering model may rely on matrix factorization or Boltzmann Machines. The performance-oriented model may rely on a local regression.