Relevant Work Clause Samples
The 'Relevant Work' clause defines the scope of work, tasks, or deliverables that are covered under the agreement. It typically outlines what specific services, projects, or outputs are considered part of the contract, and may reference attached schedules or detailed descriptions. By clearly identifying what constitutes relevant work, this clause helps prevent misunderstandings about the parties' obligations and ensures that both sides have a shared understanding of what is expected, thereby reducing the risk of disputes over the scope of work.
Relevant Work. This NOFO builds upon relevant current and emergent CDC-supported programmatic priorities, goals, guidance, and recommendations, including, but not limited to: • Public Health Emergency Preparedness and Response Capabilities: National Standards for State, Local, Tribal and Territorial Public Health • ▇▇▇▇ ▇▇▇ Implementation Guidance • PHEP BP1 (FY 2019) Performance Measures Specifications and Implementation Guida nce • 2019-2024 PHEP Supplemental Guidance and Resources • Receiving, Distributing, and Dispensing Strategic National Stockpile Assets: A Guide for Preparedness, Version 11 For a detailed listing of relevant work, please visit ▇▇▇▇://▇▇▇.▇▇▇.▇▇▇/phpr/coopagreement.htm.
Relevant Work. Via OT13-1303, CDC is currently funding six recipients focused on strengthening and improving the infrastructure and performance of tribal public health agencies and systems through capacity building and quality improvement. The recipients are categorized as Priority Area 1 or Priority Area 2. To reduce health concerns within AI/AN communities, Priority Area 1 recipients are implementing disease interventions or strengthening and building organizational infrastructure. The Priority Area 2 recipient is monitoring and evaluating quality improvement for all Priority Area 1 recipients.
Relevant Work. In a client-server environment, authentication mechanism plays an important role in a secure protocol to certifi- cate the identities of users. As everyone knows, in 1981, Lamport [12] firstly presented a remote authentication scheme based on password tables to certificate authored users over insecure channel. Form then on, many au- thentication schemes were presented and analyzed to im- prove the safety performance or the efficiency perfor- ▇▇▇▇▇ [4, 6, 9, 11, 13, 21]. Usually, alphanumeric pass- words are widely used, and the security authentication of users is based on alphanumeric passwords. However, this kind of passwords is easily got by an adversary if he/she has enough time. Due to this reason, it is necessary to set up safer protection mechanisms to protect user informa- tion. Many existing schemes have been designed to solve this problem. In 2000, Hwang et al. [9] firstly proposed the remote user authentication scheme using smart cards without a certification table to solve the problems of Lamport scheme [12]. But the passwords of users are maintained by the system. However, Chan et al. [3], Shen et al. [18] had pointed out that the scheme of [9] had flaws. In the last few years, many related schemes had been proposed, analyzed, and improved [1, 2, 7, 8, 10, 14, 15, 16, 19, 20, 22, 23, 24]. However, some of them still had defects. In 2009, Xu et al. [23] proposed a smart card based password authentication scheme with provable security. However, in 2010, Song [19] showed that the smart card authenti- cation scheme [23] is vulnerable to internal and imperson- ation attacks, and proposed an efficient strong smart card authentication protocol. Unfortunately, ▇▇▇▇ et al. [20] pointed out that the improved protocol by Song [19] can- not resist an off-line password guessing attack and also had some other weaknesses. Then ▇▇▇▇ et al. [20] proposed an advanced smart card based password authentication protocol in 2011. In the same year, ▇▇▇▇▇▇▇ et al. [1] proposed a timestamp- based remote user authentication scheme using smart card without any verification table which can avoid po- tential risks of verification tables. In [1], remote server only kept a secret key for computing the passwords of users. Recently, many schemes based on chaos theory are proposed [2, 8, 14]. Compared with the related other schemes, these schemes based on chaotic maps avoid nu- merous complex operations. In 2013, Guo et al. [8] pro- posed a chaotic maps-based key agreement proto...
Relevant Work. This FOA builds upon relevant current and emergent ASPR- and CDC-supported programmatic priorities, goals, guidance, and recommendations. For a detailed listing of relevant work, please visit ▇▇▇▇▇://▇▇▇.▇▇▇.▇▇▇/phpr/readiness/phep.htm.
Relevant Work. The calculation and approximation of value function and action-value func- tion has been an essential approach to understand the agent’s decisions in a reinforcement learning system. As the value functions and action-value functions summarize total costs of all actions in the future under the pol- icy, we are then able to judge the quality or how good different policies are. If we are able to calculate or approximate the optimal value function Φ(x) and action-value function min Q(x, u), we can not only estimate the mini- mum total costs but more importantly determine the best policy that are not immediately available before long-term observations. The formulation of optimal value functions are introduced in Chapter 3.7 and 3.8 in book [2]. By pointing out the recursive relationships, ▇▇▇▇▇▇ et al. decomposed the value function into immediate reward and the future values. Instead of computing the summation over multiple time steps, such simplification allows us to find the optimal solution in each sub-problem. However ▇▇▇▇▇▇ et al. also points out that under stochastic policies, the probability of taking action u at state x and landing in state x′ is uncertain. Thus, it’s not possible to apply ▇▇▇▇▇▇▇ equation directly. Therefore, ▇▇▇▇▇▇ et al. proposed value function vψ(x) and Qψ(x, u) can be estimated through Monte Carlo methods, which averages over random samples of actual returns.