The Maine Airport System Plan : Summary Report

The Maine Airport System Plan : Summary Report Prepared for Bureau of Planning , Maine Department of Transportation by Systems Analysis & Research Corporation and Howard Needles Tammen & Bergendoff, November 1977. Contents: Foreword / Overview / Background / Aviation in Maine / Preparation of the Plan / The Plan / Implementation of the Plan / Appendix A - Airport Needs by County / Appendix B - Airport Classifications / Appendix C - Maine\u27s Airports by Map Code Identifier / Appendix D - Technical Supplement Table of Contents / Appendix E - Regional Planning Commissions / Appendix F - Advisory Committee Membership / Appendix G - Glossary / Map of Maine\u27s Airportshttps://digitalcommons.usm.maine.edu/me_collection/1042/thumbnail.jp

Climate Change and the U. S. Energy Sector: Regional Vulnerabilities and Resilience Solutions

Executive Summary Changes in climate create diverse challenges across the U.S. energy system. Some energy infrastructure assets have already suffered damage or disruption in services from a variety of climate-related impacts, such as higher temperatures, rising sea levels, and more severe weather events. In the absence of concerted action to improve resilience, energy system vulnerabilities pose a threat to America’s national security, energy security, economic wellbeing, and quality of life. Building climate change resilience into our energy infrastructure planning is a challenging and complex undertaking. Planning horizons can span several decades (the typical service life of most energy assets), associated investments can extend into the billions of dollars, and relevant technologies can change rapidly. Some climate change impacts may trigger cascading effects on natural resources, energy demand, and supply chains. Challenges are compounded when addressing climate risks at the regional or local level, where climate change projections are subject to less certainty than at the national scale. The U.S. Department of Energy (DOE) has proactively launched numerous initiatives to support and facilitate energy sector climate preparedness and resilience at national, regional, and local levels. In addition to enhancing resilience to climate change, these actions may also have co-benefits that accommodate non-climate resilience needs (e.g., aging infrastructure, cybersecurity, physical attacks, geomagnetic storms). To assist infrastructure owners and utility planners, DOE has compiled this report on region-specific energy vulnerabilities to climate change (see Figure ES-1) and current resilience solutions. Key Climate Impacts and Regional Vulnerabilities Vulnerabilities to climate change vary across regions depending upon the nature of the climate impacts (see text box), the types and age of energy systems present, and the projected combined impacts on operations, energy demand, and energy supply chains. Major energy systems affected by regional climate impacts include the following: Oil and gas upstream operations are most vulnerable in the Southeast, Southern Great Plains, and Alaska. Fuel transport in every region is vulnerable to a variety of climate impacts, including increasing heavy precipitation, heat waves, drought, hurricanes, and sea level rise-enhanced storm surge. Thermoelectric power generation is vulnerable to increasing temperatures and reduced water availability in most regions, particularly in the Midwest, Great Plains, and southern regions. Hydropower is vulnerable to reduced snowpack, earlier melting, and changes to precipitation patterns, mainly in western regions. Bioenergy crops in the Midwest and Northern Great Plains may be harmed by higher temperatures and more frequent droughts and floods. Electric grid operations and infrastructure in every region is vulnerable to a variety of climate impacts, including increasing temperatures, heavy rainfall events, wildfire, hurricanes, and storm surge. Electricity demand is affected by increasing temperatures and is a key vulnerability in nearly every region

Mozambique : administrative districts of Niassa, Cabo Delgado, Nampula and Zambezia Province (SER A)

This is a map of the administrative districts of Niassa, Cabo Delgado, Nampula and Zambezia Province

Export Information Systems Analysis on PT. Amico Knit Internusa

At PT. AMICO KNIT INTERNUSA experiencing problems in their operations. By implementing a system that is running now export processes can run well, this can be seen in the brief procedure performed by the company so that the reception of goods to be exported can be sent according to schedule determined by the importer / buyer. With this system indirectly provides a huge impact for exporters seen an increase in production quantities, the faster delivery of goods, the more value goods exported. So that the importer is more give full confidence increase purchases from this company because the company was able to achieve the targeted production of goods (sweaters) before the time specified

Systems analysis research

Systems analysis research on radar range data revisions, variation of parameters method, and optimization of solar electric propulsion planetary orbite

Systems analysis of host-parasite interactions.

Parasitic diseases caused by protozoan pathogens lead to hundreds of thousands of deaths per year in addition to substantial suffering and socioeconomic decline for millions of people worldwide. The lack of effective vaccines coupled with the widespread emergence of drug-resistant parasites necessitates that the research community take an active role in understanding host-parasite infection biology in order to develop improved therapeutics. Recent advances in next-generation sequencing and the rapid development of publicly accessible genomic databases for many human pathogens have facilitated the application of systems biology to the study of host-parasite interactions. Over the past decade, these technologies have led to the discovery of many important biological processes governing parasitic disease. The integration and interpretation of high-throughput -omic data will undoubtedly generate extraordinary insight into host-parasite interaction networks essential to navigate the intricacies of these complex systems. As systems analysis continues to build the foundation for our understanding of host-parasite biology, this will provide the framework necessary to drive drug discovery research forward and accelerate the development of new antiparasitic therapies