Diagnostic procedures to aid the Provider in determining required dental treatment.
Device In this agreement, “device” means a physical hardware system) with an internal storage device capable of running the software. A hardware partition or blade is considered to be a device.
Diagnostic and Usage Data If you opt in to diagnostic and usage collection, you agree that Apple and its subsidiaries and agents may collect, maintain, process and use diagnostic, technical, usage and related information, including but not limited to information about your computer, system and application software, and peripherals, that is gathered periodically to facilitate the provision of software updates, product support and other services to you (if any) related to the Apple Software, and to verify compliance with the terms of this License. Apple may use this information, as long as it is collected in a form that does not personally identify you, to provide and improve Apple’s products and services. To enable Apple’s partners and third party developers to improve their software, hardware and services designed for use with Apple products, Apple may also provide any such partner or third party developer with a subset of diagnostic information that is relevant to that partner’s or developer’s software, hardware and/or services, as long as the diagnostic information is in a form that does not personally identify you.
Clinical 1.1. Provides comprehensive evidence based nursing care to patients including assessment, intervention and evaluation.
Bibliography [Ben83] Xxxxxxx Xxx-Or. Another advantage of free choice (extended ab- stract): Completely asynchronous agreement protocols. In Proceed- ings of the second annual ACM symposium on Principles of distrib- uted computing, pages 27–30. ACM, 1983. [BG89] Xxxxx Xxxxxx and Xxxx X Xxxxx. Asymptotically optimal distributed consensus. Springer, 1989. [BGP89] Xxxxx Xxxxxx, Xxxx X. Xxxxx, and Xxxxxxx X. Xxxxx. Towards optimal distributed consensus (extended abstract). In 30th Annual Symposium on Foundations of Computer Science, Research Triangle Park, North Carolina, USA, 30 October - 1 November 1989, pages 410–415, 1989. [BT85] Xxxxxxx Xxxxxx and Xxx Xxxxx. Asynchronous consensus and broadcast protocols. Journal of the ACM (JACM), 32(4):824–840, 1985. [DGM+11] Xxxxxxxx Xxxxx, Xxxxxx Xxx Xxxxxxxx, Xxxxxx Xxxxxx, Xxxxxx Xxxxxxxxx, and Xxxxxxxxx Xxxxxxxxxx. Stabilizing Consensus with the Power of Two Choices. In Proceedings of the Twenty-third Annual ACM Symposium on Parallelism in Algorithms and Architectures, SPAA, June 2011. [DS83] Xxxxx Xxxxx and X. Xxxxxxx Xxxxxx. Authenticated algorithms for byzantine agreement. SIAM Journal on Computing, 12(4):656–666, 1983. [FG03] Xxxxxxxx Xxxxx and Xxxx X Xxxxx. Efficient player-optimal protocols for strong and differential consensus. In Proceedings of the twenty- second annual symposium on Principles of distributed computing, pages 211–220. ACM, 2003.
Virus any thing or device (including any software, code, file or programme) which may: prevent, impair or otherwise adversely affect the operation of any computer software, hardware or network, any telecommunications service, equipment or network or any other service or device; prevent, impair or otherwise adversely affect access to or the operation of any programme or data, including the reliability of any programme or data (whether by re-arranging, altering or erasing the programme or data in whole or part or otherwise); or adversely affect the user experience, including worms, trojan horses, viruses and other similar things or devices.
