Abstract: Predicting business outcomes by analyzing music interests of a target user includes generation of predictor models based on test data of tests users. The test data includes historic data of the test users, music samples of interest to the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes based on target data of the target user. The target data includes music samples that are of interest to the target user, historic data of the target user, and answers provided by the target user.

Abstract: An article and method for forming a coated metal pipe for use as an automotive fluid transport tube including a copper plated carbon steel tubing formed into a circular cross sectional profile. At least one intermediate layer including any of a corrosion inhibiting zinc/aluminum alloy, electroplated zinc or hot dip aluminum is applied over said tubing. One or more outer polymer or copolymer layers are applied over the intermediate layer, with the outer layer or multi-layers compounded with a graphene or graphene oxide powder.

Abstract: Predicting psychometric attributes and relevant skills for a first job position includes generation of predictor models based on test data of tests users. The test data includes resumes of the test users, job descriptions of job positions of the test users, historical data of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict the psychometric attributes and the relevant skills based on target data, which is a first job description of the first job position.

Abstract: A method, system, and computer readable storage to implement a data marketplace which stored data assets, such as tables, models, variables, etc. All of the data assets (assets) can be searched and retrieved from the data marketplace notwithstanding that the assets can be stored at different locations, in different forms, and in different platforms through an entire big data system. The data marketplace also predicts and suggests assets which will be likely to be relevant to a user's current project.

Abstract: A method and a system for predicting business outcomes by analyzing voice data of users are provided. The method includes generation of predictor models based on test data of test users. The test data includes historical data of the test users, voice samples of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes based on target data of a target user. The target data includes voice samples of the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.

Abstract: An article and method for forming a coated metal pipe for use as an automotive fluid transport tube including a copper plated carbon steel tubing formed into a circular cross sectional profile. At least one intermediate layer including any of a corrosion inhibiting zinc/aluminum alloy, electroplated zinc or hot dip aluminum is applied over said tubing. One or more outer polymer or copolymer layers are applied over the intermediate layer, with the outer layer or multi-layers compounded with a graphene or graphene oxide powder.

Abstract: Predicting business outcomes for a target user includes generation of predictor models based on test data of tests users. The test data includes historical data of the test users, resumes of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes based on target data of the target user. The target data includes a resume of the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.

Abstract: Methods and systems for reducing memory consumption due to abandoned data structures in an e-commerce platform. A shopping cart data structure contains at least one product item identifier and a user identifier. The platform determines a probability of completion associated with the shopping cart data structure based at least in part on the at least one product item identifier and the user identifier. If the probability of completion is lower than a threshold value, then the platform identifies a data change and applies the data change to the shopping cart data structure to produce a modified shopping cart data structure. A display on a user device is generated based on the modified shopping cart data structure. The data change selected to produce a modified shopping cart data structure that correlates to a higher probability of completion.

Abstract: A method and a system for predicting business outcomes by analyzing image interests of users are provided. The method includes generation of predictor models based on sample data of tests users. The sample data includes historical data of the test users, images that are of interest to the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes for a target user based on target data of the target user. The target data includes images that are of interest to the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.

Abstract: A method and a system for predicting business outcomes for a target user are provided. The method includes generation of a plurality of images such that each image includes a set of colored-blocks arranged in rows and columns and a unique pattern formed by a subset of colored-blocks in the corresponding set of colored-blocks. Each unique pattern is associated with at least one psychometric feature. The plurality of images are presented to the target user for selection. The method further includes receiving a set of images selected by the target user from the plurality of images and analyzing each image to derive psychometric features of the target user. One or more business outcomes are predicted for the target user based on the derived psychometric features and one or more predictor models.

Abstract: Predicting psychometric attributes and relevant skills for a first job position includes generation of predictor models based on test data of tests users. The test data includes resumes of the test users, job descriptions of job positions of the test users, historical data of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict the psychometric attributes and the relevant skills based on target data, which is a first job description of the first job position.

Abstract: Predicting business outcomes for a target user includes generation of predictor models based on test data of tests users. The test data includes historical data of the test users, resumes of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes based on target data of the target user. The target data includes a resume of the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.

Abstract: A method and a system for predicting business outcomes by analyzing image interests of users are provided. The method includes generation of predictor models based on sample data of tests users. The sample data includes historical data of the test users, images that are of interest to the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes for a target user based on target data of the target user. The target data includes images that are of interest to the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.

Abstract: Predicting business outcomes by analyzing music interests of a target user includes generation of predictor models based on test data of tests users. The test data includes historic data of the test users, music samples of interest to the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes based on target data of the target user. The target data includes music samples that are of interest to the target user, historic data of the target user, and answers provided by the target user.

Abstract: A method and a system for predicting business outcomes by analyzing voice data of users are provided. The method includes generation of predictor models based on test data of test users. The test data includes historical data of the test users, voice samples of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes based on target data of a target user. The target data includes voice samples of the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.

Abstract: A method and a system for predicting business outcomes for a target user are provided. The method includes generation of a plurality of images such that each image includes a set of colored-blocks arranged in rows and columns and a unique pattern formed by a subset of colored-blocks in the corresponding set of colored-blocks. Each unique pattern is associated with at least one psychometric feature. The plurality of images are presented to the target user for selection. The method further includes receiving a set of images selected by the target user from the plurality of images and analyzing each image to derive psychometric features of the target user. One or more business outcomes are predicted for the target user based on the derived psychometric features and one or more predictor models.

Abstract: A system and a process are disclosed to analyze images and predict personality to enhance business outcomes by analyzing colors predominant in images selected, posted, or liked by a person, determining color values for the predominant colors in the images, weighting the color values, and, based on the weighted color values, deriving one or more personality attributes according to a particular psychological orientation.

Abstract: Methods, systems and non-transitory computer-readable media comprising executable instructions are provided to present one or more digital advertisements before a document is physically printed. A print request is captured and a digital advertising client selects and presents one or more digital advertisements before the print request is directed to a printer for printing. A digital advertisement may be presented using a monitor operatively connected to the client computer or a display device proximate to the printer to which the print request is directed. One or more advertisements may be incorporated within the physically printed document. The digital advertising client may be implemented on a combination of any or all of the client computer, networked servers and cloud computing servers.

Abstract: A method is provided to allow the use of paid promotional advertisements within physically printed document, either by using the blank space on a printer cover pages, or through insertion of useful document fragments on a target basis to the user, printer, room, user group, or other easily targetable criteria. Printer cover pages provide otherwise unused target are available for printed advertisements to a user. Additionally, the use of extended length paper stock in 8½ by 14 inch paper is provided having an 8½ by 11 inch upper portion integrally formed with a 8½ by 3 inch lower portion, integrally connected an separated by a foldable, tearable perforation laterally across the demarcation.

Abstract: A method of purifying biomolecules with an anion exchanger containing a membrane having a surface having a polymer such as a primary or secondary amine ligand formed thereon, such as polyallylamine. The feedstock is introduced to the exchanger in the presence of one or more ionic-modifiers by themselves or in combination with monovalent salt. The ionic modifier alters the binding ability of the primary amines such that they retain a significant binding capacity for highly charged species such as DNA but lose part or almost all of their binding capacity for less charged species such as viruses or proteins at pH above the pI of the virus or protein.