Abstract: An additive application system utilized to form a padded mailer is provided, along with corresponding methods and systems. The system applies an additive liquid to a portion of a first web that, along with a second web, forms a panel of the padded mailer. After contact occurs, an internal pouch for the panel is formed. When the additive liquid and expandable adhesive positioned within the internal pouch are energized via an oven, the expandable adhesive expands in thickness within the internal pouch to form padding for the panel. Utilizing additive liquid enables use of less expandable adhesive while maintaining a desired speed of operation of the oven to still produce a desired thickness for the padding. Cooling may be applied after expansion in the oven to retain thickness expansion in the padding.

Abstract: Cognitive medical treatment recommendation mechanisms are provided. The mechanisms ingest a corpus of medical treatment content that comprises drug-to-drug interaction information. The mechanisms generate a set of drug interaction insight data structures and an initial set of candidate treatments for a medical condition of a patient based on an analysis of an electronic medical record associated with the patient. The mechanisms rank candidate treatments in the initial set of candidate treatments based on the set of drug interaction insight data structures to generate a final set of candidate treatments, where the ranking reduces rankings of candidate treatments in which drug interactions are identified in the set of drug interaction insight data structures. The mechanisms output a treatment recommendation based on the final set of candidate treatments.

Abstract: A system for cleaning printheads used for printing on a roll of web product is provided herein. The system includes at least one printhead configured to print ink on the roll of web product to form a roll of printed web product, and a cleaning device comprising a wipe. The system further includes a controller configured to perform a cleaning operation by causing application of a cleaning additive to a portion of the wipe and causing the cleaning device to translate across the printhead to cause the portion of the wipe to be wiped across the printhead to clean the printhead. The wipe is applied with a fluid, such as water, or a non-wetted cleaning product. Multiple passes of the cleaning device can be utilized, such as where the portion of the wipe has different or no cleaning additives. Cleaning assistance, such as vibration or heat, can be utilized.

Abstract: Systems and methods for detecting and marking quality defects on individual packaging products being processed through converting machines at high speeds are provided. An example system comprises a controller in communication with a first and second sensor as well as a first and second marker. The first and second sensors sense data corresponding to a first type and second type, respectively, of potential defects in the manufacture of the packaging product, enabling detection of a first- and second-type defect. The controller may be configured to trigger a first marker to mark the individual packaging product with a first mark for the first-type defect; and to trigger a second marker to mark the packaging product with a second mark for the second-type defect.

Abstract: A system for tracking a box and correlating a quality characteristic of the box to a packaging line equipment effectiveness, includes: an applicator that applies a unique identifier to a pre-erected box, the identifier being associated with at least one quality characteristic of the pre-erected box; a first machine reader that reads the applied identifier; a machine readable database that stores the read identifier and the associated at least one quality characteristic; a converter that converts the pre-erected box into an erected box; a second machine reader that reads the identifier of the associated erected box; a hardware material handler that advances the erected box through the packaging line; and, a first processing circuit responsive to executable instructions, and in response to determining that the erected box is involved in a disruption in the packaging line, correlates the captured identifier of the associated erected box with the associated disruption.

Abstract: Cognitive medical treatment recommendation mechanisms are provided. The mechanisms ingest a corpus of medical treatment content that comprises drug-to-drug interaction information. The mechanisms generate a set of drug interaction insight data structures and an initial set of candidate treatments for a medical condition of a patient based on an analysis of an electronic medical record associated with the patient. The mechanisms rank candidate treatments in the initial set of candidate treatments based on the set of drug interaction insight data structures to generate a final set of candidate treatments, where the ranking reduces rankings of candidate treatments in which drug interactions are identified in the set of drug interaction insight data structures. The mechanisms output a treatment recommendation based on the final set of candidate treatments.

Abstract: A method of tracking a box and correlating a quality characteristic of the box to an overall equipment effectiveness of a packaging line that manipulates the box during a product packaging process includes: at a location, associating a unique identifier with a pre-erected form of the box, capturing at least one quality characteristic of the box, and storing the at least one quality characteristic and the associated unique identifier in a database; moving the pre-erected form of the box to another location; at the another location, converting the pre-erected form of the box into an erected box, manipulating the erected box through the packaging line, and in an event where the erected box is involved in a disruption in the packaging line correlating the unique identifier of the associated erected box with the associated disruption and saving a record of the disruption and the unique identifier in a storage medium.

Abstract: Mechanisms are provided for collecting and applying drug-to-drug interaction information from natural language documents. The mechanisms perform natural language processing of natural language documents in a corpus of natural language documents, to identify content in the natural language documents that describe a drug-to-drug interaction. The mechanisms categorize the drug-to-drug interaction and calculate, for a first drug in the drug-to-drug interaction, an exclusion weighting factor for use in evaluating treatments for patients that include a second drug of the drug-to-drug interaction based on the categorization of the drug-to-drug interaction. The mechanisms store the drug-to-drug interaction as a drug-to-drug interaction data structure that specifies the first drug, the second drug, the categorization of the drug-to-drug interaction, and the exclusion weighting factor associated with the drug-to-drug interaction.

Abstract: Cognitive medical treatment recommendation mechanisms are provided. The mechanisms ingest a corpus of medical treatment content that comprises drug-to-drug interaction information. The mechanisms generate a set of drug interaction insight data structures and an initial set of candidate treatments for a medical condition of a patient based on an analysis of an electronic medical record associated with the patient. The mechanisms rank candidate treatments in the initial set of candidate treatments based on the set of drug interaction insight data structures to generate a final set of candidate treatments, where the ranking reduces rankings of candidate treatments in which drug interactions are identified in the set of drug interaction insight data structures. The mechanisms output a treatment recommendation based on the final set of candidate treatments.

Abstract: Embodiments presented herein disclose techniques for transforming input documents having disparate formats into a normalized format (e.g., Atom, RSS, HTML, customized XML, etc.). According to one embodiment, a plurality of fields is identified in an input document that has a given format. Each field includes a descriptor and text content associated with the descriptor. For each field, semantic properties are evaluated for the descriptor and text content against a plurality of mapping rules to determine whether the field is consistent with one of a plurality of fields of a target format. Each mapping rule specifies characteristics associated with one of the fields in the target format. Once so determined, a mapping from the first field to the second field is defined.

Abstract: Mechanisms are provided for collecting and applying drug-to-drug interaction information from natural language documents. The mechanisms perform natural language processing of natural language documents in a corpus of natural language documents, to identify content in the natural language documents that describe a drug-to-drug interaction. The mechanisms categorize the drug-to-drug interaction and calculate, for a first drug in the drug-to-drug interaction, an exclusion weighting factor for use in evaluating treatments for patients that include a second drug of the drug-to-drug interaction based on the categorization of the drug-to-drug interaction. The mechanisms store the drug-to-drug interaction as a drug-to-drug interaction data structure that specifies the first drug, the second drug, the categorization of the drug-to-drug interaction, and the exclusion weighting factor associated with the drug-to-drug interaction.

Abstract: Cognitive medical treatment recommendation mechanisms are provided. The mechanisms ingest a corpus of medical treatment content that comprises drug-to-drug interaction information. The mechanisms generate a set of drug interaction insight data structures and an initial set of candidate treatments for a medical condition of a patient based on an analysis of an electronic medical record associated with the patient. The mechanisms rank candidate treatments in the initial set of candidate treatments based on the set of drug interaction insight data structures to generate a final set of candidate treatments, where the ranking reduces rankings of candidate treatments in which drug interactions are identified in the set of drug interaction insight data structures. The mechanisms output a treatment recommendation based on the final set of candidate treatments.

Abstract: Embodiments presented herein disclose techniques for transforming input documents having disparate formats into a normalized format (e.g., Atom, RSS, HTML, customized XML, etc.). According to one embodiment, a plurality of fields is identified in an input document that has a given format. Each field includes a descriptor and text content associated with the descriptor. For each field, semantic properties are evaluated for the descriptor and text content against a plurality of mapping rules to determine whether the field is consistent with one of a plurality of fields of a target format. Each mapping rule specifies characteristics associated with one of the fields in the target format. Once so determined, a mapping from the first field to the second field is defined.

Abstract: A method of tracking a box and correlating a quality characteristic of the box to an overall equipment effectiveness of a packaging line that manipulates the box during a product packaging process includes: at a first location, associating a unique identifier with a pre-erected form of the box, capturing at least one quality characteristic of the box, and storing the at least one quality characteristic and the associated unique identifier in a database; moving the pre-erected form of the box to a second location; at the second location, converting the pre-erected form of the box into an erected box, manipulating the erected box through the packaging line, and in an event where the erected box is involved in a disruption in the packaging line correlating the unique identifier of the associated erected box with the associated disruption and saving a record of the disruption and the unique identifier in a storage medium.

Abstract: An approach is provided in which a knowledge manager analyzes multiple document phrases using a natural language processing model and generates multiple interpretations based upon the analysis. The knowledge manager identifies misinterpretation patterns by comparing the multiple interpretations with multiple corrections that include corrections to the multiple interpretations. In turn, the knowledge manager generates interpretation rules based upon the identified patterns and applies the interpretation rules to the natural language processing model.

Abstract: An approach is provided in which a knowledge manager analyzes multiple document phrases using a natural language processing model and generates multiple interpretations based upon the analysis. The knowledge manager identifies misinterpretation patterns by comparing the multiple interpretations with multiple corrections that include corrections to the multiple interpretations. In turn, the knowledge manager generates interpretation rules based upon the identified patterns and applies the interpretation rules to the natural language processing model.

Abstract: An approach is provided in which a knowledge manager analyzes multiple document phrases using a natural language processing model and generates multiple interpretations based upon the analysis. The knowledge manager identifies misinterpretation patterns by comparing the multiple interpretations with multiple corrections that include corrections to the multiple interpretations. In turn, the knowledge manager generates interpretation rules based upon the identified patterns and applies the interpretation rules to the natural language processing model.

Abstract: An approach is provided in which a knowledge manager analyzes multiple document phrases using a natural language processing model and generates multiple interpretations based upon the analysis. The knowledge manager identifies misinterpretation patterns by comparing the multiple interpretations with multiple corrections that include corrections to the multiple interpretations. In turn, the knowledge manager generates interpretation rules based upon the identified patterns and applies the interpretation rules to the natural language processing model.

Abstract: Embodiments presented herein disclose techniques for transforming input documents having disparate formats into a normalized format (e.g., Atom, RSS, HTML, customized XML, etc.). According to one embodiment, a plurality of fields is identified in an input document that has a given format. Each field includes a descriptor and text content associated with the descriptor. For each field, semantic properties are evaluated for the descriptor and text content against a plurality of mapping rules to determine whether the field is consistent with one of a plurality of fields of a target format. Each mapping rule specifies characteristics associated with one of the fields in the target format. Once so determined, a mapping from the first field to the second field is defined.

Abstract: Embodiments presented herein disclose techniques for transforming input documents having disparate formats into a normalized format (e.g., Atom, RSS, HTML, customized XML, etc.). According to one embodiment, a plurality of fields is identified in an input document that has a given format. Each field includes a descriptor and text content associated with the descriptor. For each field, semantic properties are evaluated for the descriptor and text content against a plurality of mapping rules to determine whether the field is consistent with one of a plurality of fields of a target format. Each mapping rule specifies characteristics associated with one of the fields in the target format. Once so determined, a mapping from the first field to the second field is defined.