Suchergebnisse

Intro -- Preface -- Acknowledgments -- Contents -- About the Editor -- Redefining Biosecurity by Application in Global Health, Biodefense, and Developing Technologies -- 1 Historical Context of Biosecurity -- 2 Distinguishing Biosecurity from Biosafety -- 3 Directionality of Biosecurity Matters -- 3.1 Directionality of the Biorisk Assessment Process -- 3.2 Directionality of the Biothreat Assessment Process -- 4 Biosecurity is Unique from Traditional Security -- 4.1 Intrinsic Properties of Biological Agents Drive Uniqueness of Biosecurity -- 4.2 The Unique Nature of Threats and Hazards in Biosecurity -- 5 Biosecurity is not Limited to the Laboratory Environment -- 6 Biosecurity Extends to Global Health, Defense, and Developing Technologies -- 7 Summary -- References -- The Biothreat Assessment as a Foundation for Biosecurity -- 1 Threat Management as a Field of Practice in Security Programs -- 1.1 Defining Threat Assessment -- 1.2 History of Threat Assessment -- 1.3 Framing Threat Assessment -- 1.4 Threat Assessment Approaches and Models -- 2 Biosecurity Threats and Hazards -- 2.1 Bioeconomy Today Presents Novel Threats and Hazards -- 2.2 Gap in Expertise Lowers Threshold to New Types of Would-Be Actors -- 3 The Biothreat Assessment as a Novel Approach to Combine Science and Threats -- 3.1 Linking the Risk and Threat Assessments for Biorisk Management Program Continuity -- 3.2 Design and Execution of a Linked Biorisk and Biothreat Assessment -- 3.3 Assessments Represent One Component of a Robust Biosecurity Program -- 4 Connecting Threats/Hazards, Vulnerabilities, and Risks -- 5 Summary -- References -- Expanding the Scope of Biosecurity Through One Health -- 1 Defining Biosecurity Outside of the Laboratory -- 2 One Health Significance -- 3 Public Policy Context of Agricultural Biosecurity.

First principles, physics-based models help organizations developing new remote sensing instruments anticipate sensor performance by enabling the ability to create synthetic imagery for proposed sensor before a sensor is built. One of the largest challenges in modeling realistic synthetic imagery, however, is generating the spectrally attributed, three-dimensional scenes on which the models are based in a timely and affordable fashion. Additionally, manual and semi-automated approaches to synthetic scene construction which rely on spectral libraries may not adequately capture the spectral variability of real-world sites especially when the libraries consist of measurements made in other locations or in a lab. This dissertation presents a method to fully automate the generation of synthetic scenes when coincident lidar, Hyperspectral Imagery (HSI), and high-resolution imagery of a real-world site are available. The method, called the Lidar/HSI Direct (LHD) method, greatly reduces the time and manpower needed to generate a synthetic scene while also matching the modeled scene as closely as possible to a real-world site both spatially and spectrally. Furthermore, the LHD method enables the generation of synthetic scenes over sites in which ground access is not available providing the potential for improved military mission planning and increased ability to fuse information from multiple modalities and look angles. The LHD method quickly and accurately generates three-dimensional scenes providing the community with a tool to expand the library of synthetic scenes and therefore expand the potential applications of physics-based synthetic imagery modeling.

Given the context and prevalence of HIV/AIDS worldwide, this volume presents information, policy case studies, and empirical research for use by educators, policymakers, and organizations about the relationship between HIV/AIDS and education, including how HIV/AIDS has impacted education systems and the potential impact education has on HIV/AIDS.