Research Overview. Pursuant to this Agreement and as further provided in this ARTICLE 3, MacroGenics and Servier shall conduct the research activities indicated in each Research Plan during each Research Term for each Program (each a “Research Program”). The primary objective of each Research Program is to generate, create and/or obtain the data and documentation necessary to complete the Option Trigger Data Package for such Program. Neither Party warrants that any Research Program shall achieve any of the research objectives contemplated in its Research Plan. At the end of the applicable Research Term, each Party’s obligation to conduct such Research Program shall cease unless the Parties mutually agree to extend its Research Term.
Research Overview. Promptly after the Effective Date, the Parties shall meet to discuss the effective launch of the R&D Collaboration (including the identification of early R&D Activities, especially the first Lead Compound(s) for which research and development is to be
Research Overview. Pursuant to this Agreement and as further provided in this ARTICLE 3, MacroGenics and Gilead shall use Reasonable Research Efforts to conduct the Research activities assigned to such Party in each Research Plan during each Research Term for each Research Program. MacroGenics and Gilead shall conduct each Research Program in a good scientific manner and in accordance with applicable Law, including GLP and GCP. Neither Party warrants that any Research Program shall achieve any of the research objectives contemplated in its Research Plan. At the end of the applicable Research Term, each Party’s obligation to conduct such Research Program shall cease unless the Parties mutually agree to extend its Research Term.
Research Overview. Archemix will conduct Research in the Field in accordance with an approved Research Plan to generate Candidate Compounds during the Research Program Term. The Parties will prepare a Research Plan for Nuvelo’s approval for the initial twelve (12) months of the Research Program Term within sixty (60) days of the Effective Date. For the second and third years of the Research Program Term the Parties shall prepare an updated Research Plan for discussion by the JMC and approval by Nuvelo at least ninety (90) days prior to the first and second anniversaries of the Effective Date. Each Research Plan will include, without limitation, (a) a prioritized list of the Coagulation Cascade Protein targets for which 14. Portions of this Exhibit were omitted and have been filed separately with the Secretary of the Commission pursuant to the Company’s application requesting confidential treatment under Rule 406 of the Securities Act. Archemix will generate Aptamers; (b) a target product profile for Short Acting Coagulation Cascade Aptamers to meet for each Coagulation Cascade Protein pursued so that such Aptamers can be considered as Candidate Compounds; and (c) a proposed work plan and resource allocation plan.
Research Overview. Pursuant to this Agreement and as further provided in this ARTICLE 3, MacroGenics and Servier shall conduct the research activities indicated in the Research Plan during the Research Term (the “Research Program”). Neither Party warrants that the Research Program shall achieve any of the research objectives contemplated in the Research Plan. At the end of the Research Term, each Party’s obligation to conduct the Research Program shall cease unless the Parties mutually agree to extend the Research Term. *** = Portions of this exhibit have been omitted pursuant to a request for confidential treatment. An unredacted version of this exhibit has been filed separately with the Commission.
Research Overview. 1.1. The Parties hereby agree to cooperate, based on the terms and conditions set forth in this MoU1, on the Research with the following key objectives:
Research Overview. The main objective of this research was to evaluate the use of NBI condition ratings to study concrete bridge deck performance. This research was subdivided into four subtasks. Subtask 1 included an in- depth literature review of reported research on concrete bridge deck durability and service-life models. In Subtask 2, key parameters found to influence durability were identified in the literature. Subtask 3 summarizes the capabilities and limitations of two service-life prediction software packages. As part of Subtask 4, a nationwide database was created that includes identified parameters and two perfor- xxxxx parameters were computed: time-in-condition rating (TICR) and deterioration rate (DR). Two analyses were implemented and evaluated to study the relationship between influence and perfor- xxxxx parameters: binary logistic regression and Bayesian survival analysis. Please see the internal final report for details regarding all aspects of the work performed (Ghonima et al., 2018). Bayesian survival analysis is highlighted in this Technical Brief (see Section “Data Analysis”) as it was found most practical and useful for an owner or agency to study concrete bridge deck perfor- xxxxx. Background
Research Overview. The key concept of this research is that several classes of unmodified applications can be executed on multiple types of computational back-ends with the assistance of a flexible and adaptive middleware environment. Figure 2.1 illustrates the conceptual goals of ADAPT, showing applications using (1) multiple resources and resource classes for a single run and (2) different types of resources for different executions. The ADAPT framework dynamically provides matching adapters and performs target platform environment conditioning as needed to enable this flexible use of multifaceted resources. For example, MPI applications such as Gromacs [14] or NPB [15] typically run on clusters managed by a batch scheduler, but can be also executed on workstation networks or IaaS clouds [16, 17]. In the latter situations, ADAPT assists with the required provisioning and staging needed to prepare the target environment but may also supply simple adapters, e.g., command-name replacements to emulate typical MPI or job scheduler operations.
Research Overview. Given the depth of the complexity of local initiatives to recruit businesses, my research takes a focused, comparative case-study approach. While there are definitely benefits to an additional quantitative analysis of overall trends in development efforts and spending, the complexity and shoddiness of data renders cross-state—and even within-state—data incommensurable. Moreover, the questions posed above are not simply about overall trends, but directed at the changing processes and relations between governments and businesses. These factors point towards a qualitative, case- oriented research design. This view was confirmed in a personal correspondence with Dr.
Research Overview. In this context, this dissertation is at the intersection of the networked systems, opti- mization and machine learning. The research presented in this dissertation focuses on building fundamental connections between methodologies from the optimiza- tion, machine learning and network communities, and developing inter-disciplinary approaches for the edge network. The research contributions are summarized as follows: • We take an online convex optimization (OCO) viewpoint to solve challenging constrained computational resource allocation problems in MEC networks, and analytically prove the performance of the proposed algorithm. • The resource allocation problems in the networked system, e.g., MEC net- works and D2D networks, are solved from a reinforcement learning perspec- tive. The proposed algorithms involve a sequential decision-making procedure and improve the long-term performance by interacting environment. • We leverage the RL techniques to learn the content popularity, and propose a decentralized algorithm to maximize the cache-hit-ratio in the collaborative edge network. The overall objective is to combine the state-of-the-art optimization and ma- chine learning tools with the emerging network paradigm, i.e., MEC and D2D communications, in a way that they can inspire and reinforce the development of each other, with the ultimate goal of benefiting our daily life.
