Abstract: Techniques are described herein for selecting, curating, normalizing, enriching, and synthesizing the results of user experience (UX) tests. In some embodiments, a system receives input defining or modifying a theme schema for classifying results of user experience tests. Responsive to receiving the input, the system trains a themer model based at least in part on example classifications in a training dataset, where the classifications map results to themes within the theme schema. When a new set of results for a user experience test is received, the trained machine learning model may generate a set of predicted themes to classify the test results. The output of the model may be used to render user interfaces and/or trigger other actions directed to optimizing a product's design.

Abstract: Techniques are described herein for selecting, curating, normalizing, enriching, and synthesizing the results of user experience (UX) tests. In some embodiments, a system receives input defining or modifying a theme schema for classifying results of user experience tests. Responsive to receiving the input, the system trains a themer model based at least in part on example classifications in a training dataset, where the classifications map results to themes within the theme schema. When a new set of results for a user experience test is received, the trained machine learning model may generate a set of predicted themes to classify the test results. The output of the model may be used to render user interfaces and/or trigger other actions directed to optimizing a product's design.

Abstract: Techniques are described herein for selecting, curating, normalizing, enriching, and synthesizing the results of user experience (UX) tests. In some embodiments, a system identifies a set of expectation elements associated with one or more UX tests. An expectation element may specify, using unstructured data that does not conform to a schema, an expectation for a user experience and a respective outcome for the user experience. A themer model may generate predictions that map the respective expectation elements to a theme from a theme schema, which may include a plurality of themes. A selector model may generate selection scores for the expectation elements. The predicted themes and selection scores may be used to render user interfaces and/or trigger other actions directed to optimizing a product's design.

Abstract: A vented vial adapter for reconstitution of a medicament in a vial includes a vent lumen and a medicament lumen. The vent lumen has a cross-sectional area equal to or greater than that of the medicament lumen so that the fluid flow rate through the vent lumen is equal to or greater than that of the medicament lumen. As a result aerosols of the medicament outside the adapter are avoided as is the withdrawal of air bubbles from the vial as the reconstituted medicament is withdrawn from the vial. To maintain the diameter of the sharpened cannula of the vial adapter as small as possible, the vent lumen includes a concave wall facing the medicament lumen and a convex outer wall. In one embodiment, the vent lumen is in the shape of a polygon.

Abstract: A microelectronic assembly (10) includes an integrated circuit component (14) spaced apart from a substrate (12) by a gap filled with a polymeric encapsulant (18). The polymeric encapsulant (18) contains a thermally decomposable azide group. In the event that it is necessary to remove the component (14), such as if the component (14) is found to be defective, the microelectronic assembly (10) is heated to a temperature above the decomposition temperature of the azide group. Decomposition of the azide group disintegrates the encapsulant (18) and preferably detaches the component from the substrate (12), thereby permitting replacement of the component (14).

Abstract: A microelectronic assembly (10) includes an integrated circuit component (14) spaced apart from a substrate (12) by a gap filled with a polymeric encapsulant (18). The polymeric encapsulant (18) contains a thermally decomposable azide group. In the event that it is necessary to remove the component (14), such as if the component (14) is found to be defective, the microelectronic assembly (10) is heated to a temperature above the decomposition temperature of the azide group. Decomposition of the azide group disintegrates the encapsulant (18) and preferably detaches the component from the substrate (12), thereby permitting replacement of the component (14).