On March 7, 2009, a military assessment team was deployed to Afghanistan. The objectives of this assessment were to: Review the status of corrective actions initiated in response to previous reports on munitions accountability; Assess the current system for accountability and control to determine if it is adequate; and Determine whether the current security assistance program is effective in supporting munitions accountability and control. The team assessed the munitions supply chain from port of entry, through transportation, storage, distribution and formal turnover to ANSF, to issuance to Afghan military and police personnel. Charts and tables. This is a print on demand edition of an important, hard-to-find publication.

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.