Abstract: Methods and systems that facilitate automatic generation of Application Programming Interface (API) specification from web traffic. Methods include obtaining a plurality of API requests and responses to the plurality of API requests. Methods include processing these API requests and responses to API requests to identify one or more attributes, such as, for example, variables, query parameters, response status codes, and response schemas. Methods include identifying variables using a tree data structure to represent resource paths. Methods include identifying query parameters based on resource items in resource paths. Methods include determining that the API call does not conform to the API specification by comparing one or more attributes of the API call with the attributes of the API specification.

Abstract: Secondary batteries and methods of manufacture thereof are provided. A secondary battery can comprise an offset between electrode and counter-electrode layers in a unit cell. Secondary batteries can be prepared by removing a population of negative electrode subunits from a negative electrode sheet, the negative electrode sheet comprising a negative electrode sheet edge margin and at least one negative electrode sheet weakened region that is internal to the negative electrode sheet edge margin, removing a population of separator layer subunits from a separator sheet, and removing a population of positive electrode subunits from a positive electrode sheet, the positive electrode sheet comprising a positive electrode edge margin and at least one positive electrode sheet weakened region that is internal to the positive electrode sheet edge margin, and stacking members of the negative electrode subunit population, the separator layer subunit population and the positive electrode subunit population.

Abstract: A method includes receiving data associated with a plurality of physicians, extracting features from the data to determine a plurality of training examples, each training example being associated with a different physician, determining ground truth labels for one or more of the training examples to generate a plurality of labeled training examples, each ground truth label comprising a taxonomy associated with a physician, segregating the plurality of labeled training examples into training data, validation data, and test data, training a machine learning model to predict a taxonomy associated with a physician based on the training data, tuning hyperparameters of the model based on the validation data, and interpreting the model on both a taxonomy and physician level.

Abstract: Polymers having ordered architectures and one or more reactive functional groups incorporated in select blocks or regions of the polymer in particular proportions relative to other regions in the polymer, are described. The polymers are well suited for use in adhesive compositions, and particularly for pressure sensitive adhesive compositions. In addition, various methods for forming the noted polymers and adhesive compositions utilizing the ordered polymers are disclosed.

Abstract: Polymers having ordered architectures and one or more reactive functional groups incorporated in select blocks or regions of the polymer in particular proportions relative to other regions in the polymer, are described. The polymers are well suited for use in adhesive compositions, and particularly for pressure sensitive adhesive compositions. In addition, various methods for forming the noted polymers and adhesive compositions utilizing the ordered polymers are disclosed.

Abstract: A digital modality modeling system includes a computer with a digital memory adapted for storing patient densitometry information, an input and an output. An input subsystem includes a pair of source/receptor units mounted on a signal positioning subsystem, which is adapted for moving the source/receptor units through predetermined paths of movement, which can be circular or linear. The resulting tomographic data is synthesized to form any 3-D model or image, which is output for further analysis. A digital tomosynthesis method includes the steps of moving a pair of sensor/receptor units relative to a patient. The resulting signals output by the receptor are digitized and synthesized to form a 3-D image or model. Multiple depths of penetration and multiple widths can be captured from single acquisitions using digital tomosynthesis signal processing techniques.

Abstract: Water resistant, acrylic emulsion pressure sensitive adhesive polymers containing particles having a mean “volume-average” particle diameter of greater than about 210 nm for use in label and tape application are provided. The emulsion polymers exhibit an increase in opacity of less than about 10%.

Abstract: A process for preparing enlarged latex particles by aggregation of primary latex particles in a latex emulsion is disclosed. Also disclosed are processes for making graft copolymer compositions and multimodal polymer compositions using latex emulsions containing enlarged latex particles and uses of the enlarged latex particles, the graft copolymer compositions and multimodal polymer compositions.