Abstract: A document management system can include an artificial intelligence-based document manager that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity. For instance, the document management system can apply a machine-learning model to determine how long an expiring agreement document is likely to take to renegotiate and can prompt a user to begin the renegotiation process in advance. The document management system can detect a change to language in a particular clause type and can prompt a user to update other documents that include the clause type to include the change. The document management system can determine a type of a document being worked on and can identify one or more actions that a corresponding user may want to take using a machine-learning model trained on similar documents and similar users.

Abstract: The present invention is directed to a personal care composition comprising from about 14% to about 40% of one or more surfactants; from about 0.1% to about 10% of one or more surfactant soluble agents having a ClogP greater than 3.0; wherein when the personal care composition is diluted to about 1.5% surfactant concentration has a ratio of surfactant diffusion coefficient to soluble agent diffusion coefficient greater than 1.2.

Abstract: A document management system can include an artificial intelligence-based document manager that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity. For instance, the document management system can apply a machine-learning model to determine how long an expiring agreement document is likely to take to renegotiate and can prompt a user to begin the renegotiation process in advance. The document management system can detect a change to language in a particular clause type and can prompt a user to update other documents that include the clause type to include the change. The document management system can determine a type of a document being worked on and can identify one or more actions that a corresponding user may want to take using a machine-learning model trained on similar documents and similar users.

Abstract: Anisotropic pressure panels are disclosed. The pressure panels include at least two distinct regions, with one region yielding to lateral deformation more than at least one other region. The regions each independently may include a plurality of beads, such beads optionally integrally formed in the body of the pressure panel. In aerospace applications, the pressure panel may be coupled to load-bearing structures, such as wings, and may at least partially define a wheel well.

Abstract: Anisotropic pressure panels are disclosed. The pressure panels include at least two distinct regions, with one region yielding to lateral deformation more than at least one other region. The regions each independently may include a plurality of beads, such beads optionally integrally formed in the body of the pressure panel. In aerospace applications, the pressure panel may be coupled to load-bearing structures, such as wings, and may at least partially define a wheel well.