251 research outputs found

    Herbicide Evaluation in Arkansas Rice, 1997

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    Weed control is economically important for production of rice, a major crop in Arkansas. These findings summarize efforts of the team of Arkansas scientists working on weed control strategies for rice during 1997. Various technologies were evaluated in field studies at five locations involving the major weed problems and rice production systems used in the state. Results from these studies will add to the arsenal of weed control options for producers. Highlights include synergists and safeners for herbicides to aid in control of propanil-resistant barnyardgrass; herbicides and flooding techniques for control of red rice and other weeds; and the use of transgenic rice cultivars for broadspectrum weed control. The preliminary results reported here generally warrant further testing for more advanced findings and for the labeling of new technologies, and finally are the basis for updating safe, effective, and economical recommendations to Arkansas rice producers

    Comorbidity in eating and psychological disorders and its clinical implications

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    We briefly reviewed the clinical studies of comorbidity in eating disorders. general aspects of the treatment in these situations are discussed.Os autores revisam, de maneira breve, os estudos clínicos sobre comorbidade em transtornos alimentares. Aspectos gerais do tratamento nessas situações são discutidos

    Experimental Validation: Subscale Aircraft Ground Facilities and Integrated Test Capability

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    Experimental testing is an important aspect of validating complex integrated safety critical aircraft technologies. The Airborne Subscale Transport Aircraft Research (AirSTAR) Testbed is being developed at NASA Langley to validate technologies under conditions that cannot be flight validated with full-scale vehicles. The AirSTAR capability comprises a series of flying sub-scale models, associated ground-support equipment, and a base research station at NASA Langley. The subscale model capability utilizes a generic 5.5% scaled transport class vehicle known as the Generic Transport Model (GTM). The AirSTAR Ground Facilities encompass the hardware and software infrastructure necessary to provide comprehensive support services for the GTM testbed. The ground facilities support remote piloting of the GTM aircraft, and include all subsystems required for data/video telemetry, experimental flight control algorithm implementation and evaluation, GTM simulation, data recording/archiving, and audio communications. The ground facilities include a self-contained, motorized vehicle serving as a mobile research command/operations center, capable of deployment to remote sites when conducting GTM flight experiments. The ground facilities also include a laboratory based at NASA LaRC providing near identical capabilities as the mobile command/operations center, as well as the capability to receive data/video/audio from, and send data/audio to the mobile command/operations center during GTM flight experiments

    Vulnerability-based spatial sampling stratification for the National Children\u27s Study, Worcester County, Massachusetts: capturing health-relevant environmental and sociodemographic variability

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    BACKGROUND: The National Children\u27s Study is the most ambitious study ever attempted in the United States to assess how environmental factors impact child health and development. It aims to follow 100,000 children from gestation until 21 years of age. Success requires breaking new interdisciplinary ground, starting with how to select the sample of \u3e 1,000 children in each of 105 study sites; no standardized protocol exists for stratification of the target population by factoring in the diverse environments it inhabits. Worcester County, Massachusetts, like other sites, stratifies according to local conditions and local knowledge, subject to probability sampling rules. OBJECTIVES: We answer the following questions: How do we divide Worcester County into viable strata that represent its health-relevant environmental and sociodemographic heterogeneity, subject to sampling rules? What potential does our approach have to inform stratification at other sites? RESULTS: We developed a multivariable, vulnerability-based method for spatial sampling consisting of two descriptive indices: a hazards/stressors exposure index (comprising three proxy variables), and an adaptive capacity/sociodemographic character index (five variables). Multivariable, health-relevant stratification at the start of the study may improve detection power for environment-child health associations down the line. Eighteen strata capture countywide heterogeneity in the indices and have optimal relative homogeneity within each. They achieve comparable expected birth counts and conform to local concepts of space. CONCLUSION: The approach offers moderate to high potential to inform other sites, limited by intersite differences in data availability, geodemographics, and technical capacity. Energetic community engagement from the start promotes local stratification coherence, plus vital researcher-community trust and co-ownership for sustainability

    ESTABILIDADE E ADAPTABILIDADE DE LINHAGENS E CULTIVARES DE FEIJÃO DO GRUPO CARIOCA

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    The common bean has been cultivated under different environmental conditions and technology levels. These environmental variations, linked to genotypes differences and interaction between genotypes and environments are the main reasons for those yield variations. The interaction genotype by environments has been a challenge for indication of cultivars and to select lines in breeding programs as well. The objective of this work was to evaluate the stability and adaptability of grain yield in 14 genotypes of carioca bean, studied in ten experiments of Cultivate Value and Using, carried out during agricultural years of 2000/01 and 2001/02. The experimental design utilized was the randomized blocks with four repetitions. The stability and adaptability were evaluated by non-parametric, bi-segmented and simple linear regression methodologies. The results demonstrated a concordance among methodologies for genotypes indications with exception for recommendation in unfavorable environments. The ideal genotype was not found by bi-segmented linear regression. The lines Vi 4899, Vi 0699 and Vi 4599 showed adaptability to general environments, and with LP 97-28 were indicated to unfavorable environments. In favorable environments Vi 4899, FT 97-155 and FTS Magnífico showed the better performances.O feijão é cultivado sob diferentes condições de ambientes e níveis tecnológicos. Estas diferenças aliadas às diferenças entre genótipos e à interação entre genótipos e ambientes são as principais responsáveis pelas variações nas produtividades. A interação genótipo por ambientes tem sido um desfio para a indicação de cultivares e para a seleção de linhagens nos programas de melhoramento. O objetivo deste trabalho foi avaliar a estabilidade e a adaptabilidade da produtividade de grãos de 14 genótipos de feijão carioca, avaliados em dez ensaios de Valor de Cultivo e Uso (VCU), conduzidos nos anos agrícolas 2000/01 e 2001/02. O delineamento utilizado foi de blocos casualizados, com quatro repetições. A estabilidade e a adaptabilidade foi avaliada por uma metodologia não paramétrica, e metodologias baseadas em regressão linear bissegmentada e linear simples. Os resultados demonstraram que houve concordância entre metodologias na indicação de genótipos, a exceção da recomendação para ambientes desfavoráveis. O genótipo ideal, considerando os parâmetros da regressão bissegmentada para ambientes favoráveis não foi encontrado. Entre os genótipos avaliados destacaram-se especialmente as linhagens Vi 4899, Vi 0699 e Vi 4599, apresentando, de forma geral, melhor produtividade, adaptabilidade e previsibilidade. As linhagens Vi 4899, Vi 0699 e Vi 4599 apresentaram adaptabilidade à ambientes gerais e também foram indicadas junto com LP 97-28 para ambientes desfavoráveis. Em ambientes favoráveis, Vi 4899, FT 97-155 e FTS Magnífico apresentaram as melhores performances

    Streamlining Ground Station Network Compatibility Test for Small Satellites

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    A team of eight subject matter experts at NASA Goddard Space Flight Center (GSFC) completed a Lean Six Sigma project to identify process improvements for the compatibility test process for small satellites planning to use the NASA Near Earth Network (NEN). Ground station network compatibility testing is designed to reduce the risk to missions by resolving issues between the spacecraft's flight communication and navigation components and the ground systems prior to launch. Compatibility testing, which consists of a series of tests performed over a period of months and documented in reports, is an important step meant to prevent post-launch anomalies that could lead to expensive troubleshooting or mission failure. Compared to traditional missions, small satellite missions typically have a smaller budget and compressed schedules, which can result in small satellite projects' willingness to accept the risk associated with less comprehensive compatibility testing. Optimization and or refinement of the compatibility test process for small satellite missions could alleviate some of the pressures inherent with these factors. The goal of the Lean Six Sigma project was to develop alternative scalable methods of compatibility testing for small satellites. The Lean Six Sigma approach and the results of the project are reviewed in this paper

    Implicit Stochastic Optimization for deriving reservoir operating rules in semiarid Brazil

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    Este artigo investiga a aplicação de Otimização Estocástica Implícita (OEI) para determinar regras de operações mensais em um sistema de reservatórios localizado no nordeste semi-árido brasileiro. OEI emprega um modelo de otimização determinística para encontrar alocações ótimas do reservatório sob vários cenários possíveis de afluências e posteriormente constrói as regras a partir da análise deste conjunto de liberações ótimas. As políticas operacionais fornecem a alocação mensal do reservatório condicionada ao armazenamento no início do mês e a afluência prevista para o mês. Além da clássica análise de regressão, este estudo estabelece as regras por meio de uma estratégia de interpolação bidimensional. Após a sua identificação, as regras são aplicadas para operar o sistema sob novas realizações de afluências e mostram habilidade para produzir políticas semelhantes às obtidas a partir de otimização determinística tendo estas mesmas afluências como previsão perfeita.._________________________________________________________________________________________ ABSTRACT: This paper deals with the application of Implicit Stochastic Optimization (ISO) to determine monthly operating rules for a reservoir system located in the semiarid Northeast of Brazil. ISO employs a deterministic optimization model to find optimal reservoir allocations under several possible inflow scenarios and later constructs the rules by analyzing the ensemble of these optimal releases. The operating policies provide the monthly reservoir release conditioned on the storage at the beginning of the month and the inflow predicted for the month. In addition to the classical regression analysis, this study establishes the rules by a two-dimensional interpolation strategy. After the rules are identified, they are applied to operate the system under new inflow realizations and show ability to produce policies similar to those obtained by deterministic optimization taking the same inflows as perfect forecasts

    Pseudoaneurysm overlying an osteochondroma: a noteworthy complication

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    Pseuodaneurysms are an extremely rare complication of osteochondromas. We describe a case of traumatic pseudoaneurysm of the brachial artery presenting as a soft tissue mass in a patient who was treated for an osteochondroma 3 years earlier. This case demonstrates that radiographic follow-up of large osteochondromas is mandatory and that, in patients with soft tissue masses and a history of osteochondroma, pseudoaneurysms should be included in the differential diagnosis

    Utility of perfusion PET measures to assess neuronal injury in Alzheimer's disease

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    Introduction: 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is commonly used to estimate neuronal injury in Alzheimer's disease (AD). Here, we evaluate the utility of dynamic PET measures of perfusion using 11C-Pittsburgh compound B (PiB) to estimate neuronal injury in comparison to FDG PET. Methods: FDG, early frames of PiB images, and relative PiB delivery rate constants (PiB-R1) were obtained from 110 participants from the Dominantly Inherited Alzheimer Network. Voxelwise, regional cross-sectional, and longitudinal analyses were done to evaluate the correlation between images and estimate the relationship of the imaging biomarkers with estimated time to disease progression based on family history. Results: Metabolism and perfusion images were spatially correlated. Regional PiB-R1 values and FDG, but not early frames of PiB images, significantly decreased in the mutation carriers with estimated year to onset and with increasing dementia severity. Discussion: Hypometabolism estimated by PiB-R1 may provide a measure of brain perfusion without increasing radiation exposure
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