Riverine sustainment 2012

Student Integrated ProjectIncludes supplementary materialThis technical report analyzed the Navy's proposed Riverine Force (RF) structure and capabilities for 2012. The Riverine Sustainment 2012 Team (RST) examined the cost and performance of systems of systems which increased RF sustainment in logistically barren environments. RF sustainment was decomposed into its functional areas of supply, repair, and force protection. The functional and physical architectures were developed in parallel and were used to construct an operational architecture for the RF. The RST used mathematical, agent-based and queuing models to analyze various supply, repair and force protection system alternatives. Extraction of modeling data revealed several key insights. Waterborne heavy lift connectors such as the LCU-2000 are vital in the re-supply of the RF when it is operating up river in a non-permissive environment. Airborne heavy lift connectors such as the MV-22 were ineffective and dominated by the waterborne variants in the same environment. Increase in manpower and facilities did appreciable add to the operational availability of the RF. Mean supply response time was the biggest factor effecting operational availability and should be kept below 24 hours to maintain operational availability rates above 80%. Current mortar defenses proposed by the RF are insufficient.N

PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models

Patient-derived tumor xenograft (PDX) mouse models have emerged as an important oncology research platform to study tumor evolution, mechanisms of drug response and resistance, and tailoring chemotherapeutic approaches for individual patients. The lack of robust standards for reporting on PDX models has hampered the ability of researchers to find relevant PDX models and associated data. Here we present the PDX models minimal information standard (PDX-MI) for reporting on the generation, quality assurance, and use of PDX models. PDX-MI defines the minimal information for describing the clinical attributes of a patient's tumor, the processes of implantation and passaging of tumors in a host mouse strain, quality assurance methods, and the use of PDX models in cancer research. Adherence to PDX-MI standards will facilitate accurate search results for oncology models and their associated data across distributed repository databases and promote reproducibility in research studies using these models. Cancer Res; 77(21); e62-66. ©2017 AAC

Market Knowledge Dimensions and Cross-Functional Collaboration: Examining the Different Routes to Product Innovation Performance

There is consensus in the marketing literature that market knowledge and cross-functional collaboration are two fundamental resources for successful product innovation. However, few studies examine the dimensions or characteristics of market knowledge and how and why these resources influence product innovation performance. Drawing on contingency theory and the knowledge-based view of the firm, the authors argue that knowledge integration mechanisms may account for the effects of market knowledge dimensions (i.e., breadth, depth, tacitness, and specificity) and cross-functional collaboration on product innovation performance. They find that market knowledge specificity and cross-functional collaboration affect product innovation performance through knowledge integration mechanisms. In contrast, whereas the effect of market knowledge depth is partially mediated, market knowledge breadth has a direct, unmediated effect on product innovation performance. A test of an alternative moderating perspective shows that the effects of market knowledge depth and cross-functional collaboration on product innovation are negatively moderated by knowledge integration mechanisms. By showing the differential effects of market knowledge dimensions on product innovation performance, the authors provide a more refined understanding of the interplay among market knowledge, its integration, and the firm's performance in product innovation. The authors also conclude that by overlooking the role of knowledge integration mechanisms, previous research may have provided an overly optimistic view of the value of cross-functional collaboration in product innovation