Research Overview Sample Clauses

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 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. On a Collaboration Program-by-Collaboration Program basis, Company (directly or through its Affiliates or Subcontractors) will use Commercially Reasonable Efforts to perform the Research Activities for such Collaboration Program, for the purpose of generating Development Candidate(s) directed against the applicable Collaboration Target in accordance with the Research Plan. The Parties acknowledge that each Collaboration Program could result in the identification of no Development Candidate(s) for such Collaboration Program or multiple Development Candidates for such Collaboration Program.

Research Overview. On a Collaboration Program-by-Collaboration Program basis, in accordance with the terms and conditions of this Agreement, Generate will use Commercially Reasonable Efforts to perform the Research Activities assigned to it in the Research Plan for such Collaboration Program for the purpose of generating and testing Collaboration Proteins and ultimately achieving Lead Candidates with respect to the applicable Collaboration Target. The Parties acknowledge that, despite Generate’s use of Commercially Reasonable Efforts to conduct the Research Activities assigned to it in the Research Plan, one or more of the Collaboration Programs may result in the identification of no Lead Candidates for a given Collaboration Program or, alternatively, the Research Activities may yield multiple Lead Candidates for such Collaboration Program.

Research Overview. On a Collaboration Program-by-Collaboration Program basis, in accordance with the terms and conditions of this Agreement, Company will use Commercially Reasonable Efforts to perform the activities set forth in the Research Plan for such Collaboration Program for the purpose of generating Candidate Drug(s) directed against the applicable Collaboration Target for Vertex to advance through Clinical Trials and bring to patients as commercial products in the Field following its Option Exercise with respect to the applicable Collaboration Target. The Parties acknowledge that the Collaboration Programs could result in the identification of no Candidate Drug(s) for a given Collaboration Program or multiple Candidate Drugs for such Collaboration Program.

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. 1.2.1 Intelligent resource management‌ Optimally allocating communication and network resources is a crucial task in the networked systems. For example, optimally allocating various computation- intensive tasks to MEC servers in a time-varying environment is a challenging task. Similarly, optimally managing the resource in D2D communications, i.e., channel selection and power control, is one of main issues. The focus of the first part in this dissertation, namely Chapters 3, 4, 5 and 6, is to tackle the intelligent resource management in the networked systems. • Online optimization at the edge network. OCO is an emerging methodology for sequential inference with well-documented advantages especially when the sequence of convex costs varies in an unknown and possibly adversarial manner [142, 97]. We leverage OCO model and introduce online learning- assisted algorithms to cope with time-varying cost and time-varying constraint functions with unknown statistics on-the-go. Our proposed algorithms have been published in signal processing and communication journals [104, 102]. The proposed algo...

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. 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: I. To successfully implement a valid and feasible design of bilingual education in ethnic minority languages and Vietnamese in select pre-primary and primary schools; II. To incorporate action research into all levels of the Research; and III. To contribute to the development of policies and practices (including legal frameworks) that will promote use and development of ethnic minority languages as a means for improving access, quality and equity of education and other social services. 1.2. The Research shall be implemented in two stages, a design phase and an implementation phase. The design phase has started since 2006 and will be completed by the end of 2007. The implementation phase will be conducted from early 2008 to December, 2014 in select pre-primary and primary schools in ▇▇▇ ▇▇▇, Tra ▇▇▇▇ and Lao Cai provinces with three ethnic minority languages: J’rai, Khmer and H’mong (please refer to Annex 2 “List of pilot schools and selection criteria”), according to the principles, approach and design detailed in Annex 1, “Research Overall Design.” 1.3. Two cohorts of students (from pre-primary through primary grade 5) in each province will complete the pilot bilingual program. The first cohort will start at the beginning of school-year 2008-09 and complete grade 5 in 2013. The second cohort will start at the beginning of school-year 2009-10 and complete grade 5 in 2014. 1.4. The Research shall be a joint effort of both Parties, MOET and UNICEF, with the engagement of the following individual(s) and departments: