Abstract: A system may support adaptive user interfaces (Us) for computer-aided technology (CAx) applications. The system may include a CAx tracking engine configured to track command usage of a computer-aided technology (CAx) application to obtain command usage data for the CAx application and a CAx training engine configured to train a machine learning model with the command usage data. The system may also include a CAx adaptive UI engine configured to obtain real-time command usage by a user of the CAx application; and apply the machine learning model to adaptively transform a UI of the CAx application, including by inputting the real-time command usage of the CAx application to the machine learning model to determine a predicted command based on the real-time command usage and dynamically updating a selected sub-section of the UI of the CAx application to present the predicted command to the user.

Abstract: Long chain fatty acids such as stearic acid are novel additives in a composition comprising a polymer binder plus a ceramic powder and various other additives, which can be fired to become a thin, flat sheet of ceramic. A typical process using this composition includes aggressive mixing such as ball milling, followed by doctor blade tape casting. The fatty acid additive in addition to other materials used as dispersing agents provides a cast composition which is less susceptible to cracking during drying than previous tape casting compositions.