Missouri frost/freeze probabilities guide (2016)

"New 4/16/Web.""This publication is part of a series of IPM Manuals prepared by the Plant Protection Programs of the University of Missouri. Topics covered in the series include an introduction to scouting, weed identification and management, plant diseases, and insects of field and horticultural crops.""College of Agriculture, Food and Natural Resources.""This guide provides frost/freeze probabilities, tables, maps and dates for 103 National Weather Service Cooperative (NWSC) weather stations in Missouri. The information was obtained from the National Centers for Environmental Information and is based on data for the 30-year period 1981-2010.""Integrated pest management.

A practical, multiplatform app for climate stress to aid animal producers and science education

Project Leaders: Michael McKean: Reynolds Journalism Institute (RJI)/Missouri School of Journalism; Dale Musser: Director of the IT Program in the College of Engineering; Ray Massey and Pat Guinan: Commercial Agriculture Program; Ben Gallup: 4-H Center for Youth Development; David Kemp: Future Farmers of America; John Travlos: Electronic Bulletin Board (AgEBB); Stacey Hamilton, Southwest Center, College of Agriculture, Food & Natural Resources"Climate variability is a concern in a number of sectors, particularly in the Agriculture industry. The National Climatic Data Center for the US announced on September 9, 2011 that last summer was the hottest in 75 years, with the greatest impact in Texas and neighboring states of Oklahoma, Kansas, Arkansas and Missouri. The result was daily appearance of news stories regarding losses of livestock and productivity, which during a normal year amount to $897, 369, and 299 million for dairy, beef, and swine industries, respectively. Thermal stress indices have existed for years for these groups, but are underutilized because they require elaborate combinations of environmental (e.g., weather) and physiological (e.g., body temperature) data. There is also increased concern that student interest in science, at both high school and college levels, is declining, and that the United States could be at a disadvantage in solving complex problems of the future such as climate variability due to a lack of qualified scientists. It has been suggested, that the traditional read, recite, regurgitate models for teaching science are ineffective ways to motivate students to learn science, and help them understand and retain science concepts. D.A. Kolb noted that an experiential approach increases interest of youth in science. Experiential learning in the sciences includes gathering the facts surrounding a problem, reflecting on the findings, formulating ideas, and finally testing them, and generating new knowledge. A mechanism to facilitate this process using advanced instructional technologies that are more engaging to a technology-oriented generation of learners will stimulate interest in and learning of science. Our proposal is to develop a native smart phone app (Apple and Android) that combines weather information (both current and projected) with individual animal information to aid the producer in the decision-making process to reduce heat strain and improve animal welfare. At the same time, the app will be a learning device that attracts and stimulates student interest in climate and environmental stress related to themselves and their production animals. Our approach will use students in the "Team-Based Mobile Application Development" course (College of Engineering, IT Program, and School of Journalism) together with CAFNR undergraduate students trained in environmental physiology to develop the prototype. The educational component will require input from a select group of high school/college students in 4-H and FFA (and related agricultural youth organizations), with backgrounds in animal science and a strong interest in using technology to improve animal production and welfare. These students will collaborate with others in the app design and evaluation course for a truly multidisciplinary learning experience. This product will then be promoted, displayed, and tested in select venues, such as CAFNR field days and at the Missouri State Fair." --DescriptionMU Interdisciplinary Innovations Fun

Heurísticas para balanceamento de carga de máquinas em infraestruturas de nuvem.

Em ambientes de Computação na Nuvem, principalmente os que utilizam o modelo de infraestrutura como um serviço, a característica de elasticidade no provisionamento de recursos traz consigo a necessidade de gerenciar os recursos físicos de forma apropriada para preservar a qualidade de serviço aos seus usuários, e o bom desempenho da infraestrutura. Este trabalho propõe heurísticas que são capazes de auxiliar no balanceamento de carga dos servidores em uma infraestrutura de nuvem, propondo migrações para diminuir a sobrecarga nos servidores que foram identificados como sobrecarregados,visto que, como passar do tempo há uma variação natural na quantidade de recursos em uso. Esta variação é uma consequência da remoção ou adição de aplicações, ou até mesmo de tentativas de melhoramento do desempenho das aplicações através do provisionamento vertical. Uma ferramenta foi implementada para fazer uso dos algoritmos das heurísticas e assim auxiliar nos experimentos para a validação das mesmas. As métricas utilizadas vem diretamente de servidores heterogêneos da nuvem OpenStack do Laboratório de Sistemas Distribuídos. Os resultados obtidos mostram que além da diminuição no consumo de CPU dos servidores dos quais que estavam sobrecarregados, também é possível melhorar o desempenho destes servidores em alguns casos.In CloudComputingenvironments,especiallythoseusingtheinfrastructureasaservice model, theelasticitycharacteristicinresourceprovisioningcomeswiththeneedtomanage resources sothequalityofservicecancontinuetobeguaranteedtousersandalsoto maintain agoodperformanceoftheinfrastructure.Thisworkproposesheuristicsthat are abletoassistintheloadbalancingoftheserversinaCloudinfrastructure,proposing migrations toreducetheoverheadintheserversthatwereidentifiedasoverloaded,since with thepassageoftimethereisanaturalvariationintheamountofresourcesinuse.This variationinaconsequenceofremovaloradditionofapplicationsandevenoftheusageof verticalscalingtoimproveapplication’sperformance.Atoolwasimplementedtomake use oftheheuristicalgorithmsandthustoaidintheexperimentsandtheirvalidation,the metrics usedcomedirectlyfromheterogeneousserversoftheOpenStackCloudofthe DistributedSystemsLaboratory.TheresultsshowthatinadditiontothedecreaseinCPU consumption ofserversthatwereoverloaded,itisalsopossibletoimprovetheperformance of theseserversinsomecases

Missouri frost/freeze probabilities guide

Pat Guinan, State Climatologist, University of Missouri ExtensionCollege of Agriculture, Food and Natural ResourcesPublished by University of Missouri ExtensionIntegrated Pest Management"This guide provides a generalized view of expected last spring and first fall frost dates for Missouri to help you in making your plant-sensitive management decisions. Typically, the first fall frost (temperature of 32 degrees F or lower) occurs over northern and central Missouri by the second or third week of October, respectively. Similarly, the last spring frost occurs over northern and central Missouri by the third and second week of April, respectively. Frosts are more likely to be experienced earlier in the fall or later in the spring over the Ozarks than in central Missouri because the higher elevation of the Ozark Plateau causes cooler temperatures in the Ozark region. As the Ozark Plateau transitions to the southeastern lowlands of the Bootheel, the average first fall frost generally occurs between the last week of October and the first week of November. Similarly, the average last spring frost occurs between the second week of April to the end of March." -- Introductio