Cost drivers of integrated maintenance in high-value systems

High value systems are determined by a wide structure, where operations are considered to be one structural component. Nowadays “down-time” as a major impact in the operation costs of any system. To avoid or minimize “down-time” it is essential to match the appropriate maintenance to each failure. Therefore, it is relevant to determine the cost drivers of integrated maintenance in any system, in order to minimize the overall cost. It is common to use Value Driven Maintenance (VDM) to capture the cost drivers in maintenance. VDM is a methodology which relies in four distinct areas: Asset Utilization; Resource Allocation; Control Cost and Health and Safety and Environment. Within each category it is possible to allocate different cost drivers, building a framework for each system studied. The aim of this paper is to categorize the cost drivers of rail infrastructure networks, associating them with the maintenance preformed for each case. Furthermore, analysis of which part of the track falls under each VDM category as well as the general failure causes and effects will be included in the framework presented. Finally relating the maintenance type for each effect will provide the necessary inputs towards a cost model structure. The benefit of achieving a successful model will be the optimization of the cost in integrated maintenance of the rail infrastructure

Challenges in cost analysis of innovative maintenance of distributed high-value assets

Condition monitoring is an increasingly important activity, but there is often little thought given to how a condition monitoring approach is going to impact the cost of operating a system. This paper seeks to detail the challenges facing such an analysis and outline the likely steps such an analysis will have to take to more completely understand the problem and provide suitable cost analysis. Adding sensors might be a relatively simple task, but those sensors come with associated cost; not only of the sensor, but of the utilities required to power them, the data gathering and processing and the eventual storage of that data for regulatory or other reasons. By adding condition monitoring sensors as a sub- system to the general system an organisation is required to perform maintenance to the new sensors sub-system. Despite these difficulties it is anticipated that for many high value assets applying condition monitoring will enable significant cost savings through elimination of maintenance activities on assets that do not need such cost and effort expended on them. Further savings should be possible through optimisation of maintenance schedules to have essential work completed at more cost efficient times

Identification of impact aroma compounds in Eugenia uniflora L. (Brazilian Pitanga) leaf essential oil

The leaf essential oil of Eugenia uniflora L. (Myrtaceae) was extracted by Clevenger apparatus and analysed by gas chromatography-mass spectrometry (GC-MS). The leaves were collected and immediately extracted for five consecutive days at 9:00 am and 2:00 pm. No variance in the oil yields were observed in the period. Furanodiene and its rearrangement product, furanoelemene (or curzerene, 50.2%), beta-elemene (5.9%) and alpha-cadinol (4.7%) were identified as the most abundant compounds. GC-Olfatometry (GC-O) associated to Aroma Extract Dilution Analysis (AEDA) allowed the identification of nine active aroma compounds, where furanodiene (along with furanoelemene, FD 1024), beta-elemene (FD 256) and (E,E)-germacrone (FD 256) were characterized as the main impact aroma compounds in the odor of this essential oil. Those substances were collected through a sniffing port adapted on the GC allowing to obtain a typical essence of pitanga as indicated by comparative olfatometric analysis

Controle alternativo do moleque-da-bananeira e manejo de hortas agroecológicas em comunidades do Semiárido nordestino.

Campo de pesquisa participativa do Projeto Maria Tereza; Campo de pesquisa participativa do Núcleo 4 do Projeto de Irrigação Senador Nilo Coelho; Campo de aprendizagem tecnológica de horta agroecológica comunitária em Nova Descoberta, Petrolina, PE; Campo de pesquisa participativa sobre a permanência das características químicas do biofertilizante vairo preparado na comunidade de Nova Descoberta; Campo de pesquisa participativa sobre a adaptação de diferentes variedades de alface em cultivo agroecológico na comunidade de Nova Descoberta; campo de aprendizagem tecnológica: Comportamento econômico e produtivo da horta comunitária agroecológica de Nova Descoberta; Campo de pesquisa participativa de cultivo de diferentes espécies em horta agroecológica comunitária com a utilização de água de poço.bitstream/item/80053/1/SDC252.pd

Avaliação da qualidade de amostras comerciais de boldo (Peumus boldus Molina), pata-de-vaca (Bauhinia spp.) e ginco (Ginkgo biloba L.)

O presente trabalho procurou avaliar a qualidade de produtos comercializados à base de boldo, pata-de-vaca e ginco, através dos parâmetros contidos na Farmacopéia Brasileira e na literatura específica. Foram analisadas oito amostras de boldo, nove de pata-de-vaca e sete de ginco, adquiridas em farmácias na cidade do Recife. A metodologia consistiu em avaliar: os rótulos e bulas dos produtos verificando se estavam de acordo com a RDC n o 17 de 24/02/2000 e a portaria 110/97 da ANVISA; realizar análise sensorial; verificar a autenticidade das amostras e sua pureza. Todas as embalagens de boldo, pata-de-vaca e seis de ginco continham erros ou ausência de informações científicas, além da falta de bula. Na verificação de impurezas, todas as de boldo, cinco de pata-de-vaca, e uma amostra de ginco foram reprovadas. Todos os produtos analisados apresentaram alguma irregularidade segundo os códigos oficiais, sendo necessário uma maior intensificação na vigilância de produtos à base de plantas medicinais no Brasil

Ranking protected areas in the Azores using standardised sampling of soil epigean arthropods

Copyright © Springer 2005.Nineteen areas in seven of the nine Azorean islands were evaluated for species diversity and rarity based on soil epigean arthropods. Fifteen out of the 19 study areas are managed as Natural Forest Reserves and the remaining four were included due to their importance as indigenous forest cover. Four of the 19 areas are not included in the European Conservation network, NATURA 2000. Two sampling replicates were run per study area, and a total of 191 species were collected; 43 of those species (23%) are endemic to the archipelago and 12 have yet to be described. To produce an unbiased multiple-criteria index (importance value for conservation, IV-C) incorporating diversity and rarity based indices, an iterative partial multiple regression analysis was performed. In addition, an irreplaceability index and the complementarity method (using both optimisation and heuristic methods) were used for priority-reserves analyses. It was concluded that at least one well-managed reserve per island is absolutely necessary to have a good fraction of the endemic arthropods preserved. We found that for presence/absence data the suboptimal complementarity algorithm provides solutions as good as the optimal algorithm. For abundance data, optimal solutions indicate that most reserves are needed if we want that at least 50% of endemic arthropod populations are represented in a minimum set of reserves. Consistently, two of the four areas not included in the NATURA 2000 framework were considered of high priority, indicating that vascular plants and bird species used to determine NATURA 2000 sites are not good surrogates of arthropod diversity in the Azores. The most irreplaceable reserves are those located in older islands, which indicates that geological history plays an important role in explaining faunal diversity of arthropods in the Azores. Based both on the uniqueness of species composition and high species richness, conservation efforts should be focused on the unmanaged Pico Alto region in the archipelago’s oldest island, Santa Maria

Overexpression of KLC2 due to a homozygous deletion in the non-coding region causes SPOAN syndrome

SPOAN syndrome is a neurodegenerative disorder mainly characterized by spastic paraplegia, optic atrophy and neuropathy (SPOAN). Affected patients are wheelchair bound after 15 years old, with progressive joint contractures and spine deformities. SPOAN patients also have sub normal vision secondary to apparently non-progressive congenital optic atrophy. A potential causative gene was mapped at 11q13 ten years ago. Here we performed next-generation sequencing in SPOAN-derived samples. While whole-exome sequencing failed to identify the causative mutation, whole-genome sequencing allowed to detect a homozygous 216-bp deletion (chr11.hg19:g.66,024,557_66,024,773del) located at the non-coding upstream region of the KLC2 gene. Expression assays performed with patient’s fibroblasts and motor neurons derived from SPOAN patients showed KLC2 overexpression. Luciferase assay in constructs with 216-bp deletion confirmed the overexpression of gene reporter, varying from 48 to 74%, as compared with wild-type. Knockdown and overexpression of klc2 in Danio rerio revealed mild to severe curly-tail phenotype, which is suggestive of a neuromuscular disorder. Overexpression of a gene caused by a small deletion in the non-coding region is a novel mechanism, which to the best of our knowledge, was never reported before in a recessive condition. Although the molecular mechanism of KLC2 up-regulation still remains to be uncovered, such example adds to the importance of non-coding regions in human pathologyFil: Melo, Uira S.. Universidade de Sao Paulo; BrasilFil: Macedo Souza, Lucia I.. Universidade de Sao Paulo; BrasilFil: Figueiredo, Thalita. Federal University of Paraiba; Brasil. Paraiba State University; BrasilFil: Muotri, Alysson R. University of California at San Diego; Estados UnidosFil: Gleeson, Joseph G.. The Rockefeller University; Estados UnidosFil: Coux, Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Biología Molecular y Celular de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Biología Molecular y Celular de Rosario; ArgentinaFil: Armas, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Biología Molecular y Celular de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Biología Molecular y Celular de Rosario; ArgentinaFil: Calcaterra, Nora Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Biología Molecular y Celular de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Biología Molecular y Celular de Rosario; ArgentinaFil: Kitajima, João P.. Mendelics Genomic Analysis; BrasilFil: Amorim, Simone. Universidade de Sao Paulo; BrasilFil: Olávio, Thiago R.. Universidade de Sao Paulo; BrasilFil: Griesi Oliveira, Karina. Universidade de Sao Paulo; BrasilFil: Coatti, Giuliana C.. Universidade de Sao Paulo; BrasilFil: Rocha, Clarissa R.R. Universidade de Sao Paulo; BrasilFil: Martins Pinheiro, Marinalva. Universidade de Sao Paulo; BrasilFil: Menck, Carlos F.M.. Universidade de Sao Paulo; BrasilFil: Zaki, Maha S.. National Research Center. EL Cairo; EgiptoFil: Kok, Fernando. Universidade de Sao Paulo; BrasilFil: Zatz, Mayana. Universidade de Sao Paulo; BrasilFil: Santos, Silvana. Federal University of Paraiba; Brasil. Paraiba State University; Brasi