Abstract: Various embodiments of devices and systems comprising a polymer driveshaft for use in high-speed rotational medical procedures, e.g., atherectomy, are disclosed. Generally, the primary driveshaft for transferring torque and activating rotation of a tool attached thereto, e.g., an abrasive element, is constructed with at least a polymer outer and inner surface. In certain embodiments, the polymer driveshaft may comprise a metallic band for fixed attachment of a structure, e.g., an abrasive element, thereto. Various embodiments may comprise a coupler that connects a drive shaft connected with a prime mover, e.g., a turbine or electric motor, with the polymer drive shaft, the coupler comprising openings through the coupler wall to the inner diameter of the coupler to allow fluid flow to the inner diameter of the coupled polymer drive shaft.

Abstract: A method of monitoring main contact conditions of main contacts in an automatic transfer switch is provided. The automatic transfer switch is coupled to a plurality of electrical power sources and an electrical load. The method includes: measuring, by sensors, temperatures of a plurality of main contacts coupled to the plurality of power sources; determining if the measured temperatures indicate a temperature rise at one or more main contacts of the plurality of main contacts; in response to determining that the measured temperatures indicate a temperature rise at the one or more main contacts, comparing a current value of the temperature rise with stored temperature rise values that represent main contact damages; and determining an amount of main contact damage at the one or more main contacts based on the comparison.

Abstract: Techniques for activity tracking, data classification, and in-database archiving are described. Activity tracking refers to techniques that collect statistics related to user access patterns, such as the frequency or recency with which users access particular database elements. The statistics gathered through activity tracking can be supplied to data classification techniques to automatically classify the database elements or to assist users with manually classifying the database elements. Then, once the database elements have been classified, in-database archiving techniques can be employed to move database elements to different storage tiers based on the classifications. However, although the techniques related to activity tracking, data classification, and in-database archiving may be used together as described above; each technique may also be practiced separately.

Abstract: Techniques for activity tracking, data classification, and in-database archiving are described. Activity tracking refers to techniques that collect statistics related to user access patterns, such as the frequency or recency with which users access particular database elements. The statistics gathered through activity tracking can be supplied to data classification techniques to automatically classify the database elements or to assist users with manually classifying the database elements. Then, once the database elements have been classified, in-database archiving techniques can be employed to move database elements to different storage tiers based on the classifications. However, although the techniques related to activity tracking, data classification, and in-database archiving may be used together as described above; each technique may also be practiced separately.

Abstract: Techniques for activity tracking, data classification, and in-database archiving are described. Activity tracking refers to techniques that collect statistics related to user access patterns, such as the frequency or recency with which users access particular database elements. The statistics gathered through activity tracking can be supplied to data classification techniques to automatically classify the database elements or to assist users with manually classifying the database elements. Then, once the database elements have been classified, in-database archiving techniques can be employed to move database elements to different storage tiers based on the classifications. However, although the techniques related to activity tracking, data classification, and in-database archiving may be used together as described above; each technique may also be practiced separately.

Abstract: Techniques for lifecycle state management and in-database archiving are described. Activity tracking refers to techniques that collect statistics related to user access patterns, such as the frequency or recency with which users access particular database elements. The statistics gathered through activity tracking can be supplied to data classification techniques to automatically classify the database elements or to assist users with manually classifying the database elements. Then, once the database elements have been classified, in-database archiving techniques can be employed to move database elements to different storage tiers based on the classifications. However, although the techniques related to activity tracking, data classification, and in-database archiving may be used together as described above; each technique may also be practiced separately.

Abstract: An apparatus for content handling is provided. The apparatus comprises a content server arranged to provide a content analysis environment to a client terminal, and to provide content to the client terminal for analysis within the content analysis environment once the content analysis environment has been established at the client terminal, wherein the client terminal is arranged: to download the content from the content server into the content analysis environment; to encrypt the downloaded content and store the encrypted content therein in a persistent form; to decrypt the encrypted content into working memory therein for analysis within content analysis environment; to encrypt analyzed content and store the encrypted analyzed content therein in a persistent form; and to decrypt the encrypted analyzed content and to upload this decrypted content to the content server.

Abstract: An apparatus for content handling is provided. The apparatus comprises a content server arranged to provide a content analysis environment to a client terminal, and to provide content to the client terminal for analysis within the content analysis environment once the content analysis environment has been established at the client terminal, wherein the client terminal is arranged: to download the content from the content server into the content analysis environment; to encrypt the downloaded content and store the encrypted content therein in a persistent form; to decrypt the encrypted content into working memory therein for analysis within content analysis environment; to encrypt analysed content and store the encrypted analysed content therein in a persistent form; and to decrypt the encrypted analysed content and to upload this decrypted content to the content server.

Abstract: Techniques for activity tracking, data classification, and in-database archiving are described. Activity tracking refers to techniques that collect statistics related to user access patterns, such as the frequency or recency with which users access particular database elements. The statistics gathered through activity tracking can be supplied to data classification techniques to automatically classify the database elements or to assist users with manually classifying the database elements. Then, once the database elements have been classified, in-database archiving techniques can be employed to move database elements to different storage tiers based on the classifications. However, although the techniques related to activity tracking, data classification, and in-database archiving may be used together as described above; each technique may also be practiced separately.

Abstract: Techniques for lifecycle state management and in-database archiving are described. Activity tracking refers to techniques that collect statistics related to user access patterns, such as the frequency or recency with which users access particular database elements. The statistics gathered through activity tracking can be supplied to data classification techniques to automatically classify the database elements or to assist users with manually classifying the database elements. Then, once the database elements have been classified, in-database archiving techniques can be employed to move database elements to different storage tiers based on the classifications. However, although the techniques related to activity tracking, data classification, and in-database archiving may be used together as described above; each technique may also be practiced separately.