Abstract: Process and method to generate hydrogen with high CO2 capture rate. The invention entails production of hydrogen in an efficient and innovative way without any continuous carbon emissions within the hydrogen production unit by use of only one CO2 removal unit. The proposed novel solution allows achieving a direct CO2 capture rate of >99% by the autothermal reforming based hydrogen generation process with one CO2 removal unit with an efficient thermal integration and without any fired heater.

Abstract: Process and method to produce ammonia with high CO2 capture rate. The invention entails production of ammonia in an efficient and innovative way with minimum carbon emissions within the production unit by use of only one CO2 removal unit and a minimum process heat exchange duties provided by heat of combustion. The proposed novel solution allows achieving a direct CO2 capture rate of >95% by the autothermal reforming based ammonia production process with one CO2 removal unit with an efficient thermal integration and a low duty fired heater ensuring minimum direct carbon emission.

Abstract: A method and apparatus for scoring member data in a social networking service is provided. A method comprises receiving input that indicates a particular feature that is not in a set of features upon which a first model is based. In response to receiving the input, training a plurality of models based on training data and a plurality of features that includes the set of features and the particular feature, and selecting, based on one or more criteria, a particular model from among the plurality of models that includes a second model that is of the same type as the first model. Using the particular model to score a particular data set based on the plurality of features indicated in the particular data set.

Abstract: A method and apparatus for scoring member data in a social networking service is provided. A method comprises receiving input that indicates a particular feature that is not in a set of features upon which a first model is based. In response to receiving the input, training a plurality of models based on training data and a plurality of features that includes the set of features and the particular feature, and selecting, based on one or more criteria, a particular model from among the plurality of models that includes a second model that is of the same type as the first model. Using the particular model to score a particular data set based on the plurality of features indicated in the particular data set.

Abstract: A method and apparatus for scoring member data in a social networking service is provided. A method comprises training a model based on training data and a plurality of features that includes (1) one or more first features associated with activities of members of a social network service and (2) one or more second features associated with attributes of the members of the social network service; identifying one or more activities associated with a particular member account that is maintained by the social network service; identifying one or more attributes, associated with the particular member account, that are different than the one or more activities; using the model to generate a score based on the one or more activities and the one or more attributes; determining, based on the score, whether to apply a restriction to the member account to prevent a member of the member account from performing one or more actions associated with the social network service.