Quantificação do teor de metais em águas engarrafadas comercializadas no município de Belém através de espectrometria de emissão ótica / Quantification of metal content in bottled waters commercialized in the municipality of Belém through spectrometry of optical emission

Nos últimos anos tem sido verificado um crescimento considerável no consumo de águas engarrafadas no Brasil, aumentando de 0,3 para 18,5 L per capita/ano. Para atender essa demanda, as indústrias aumentaram a produção, novas empresas surgiram e, consequentemente, surge a necessidade do monitoramento da qualidade dessas águas no mercado. O objetivo deste trabalho foi a quantificação do teor de metais em águas engarrafadas, de cinco marcas comercializadas em supermercados na cidade de Belém-PA. Foram utilizadas 120 (cento e vinte) amostras provenientes de oito locais da cidade. A determinação de metais foi feita utilizando um ICP-OES modelo VISTA PRO.  Os resultados obtidos foram comparados com os valores máximos permitidos (VMP) de acordo com a Portaria de Consolidação N°5/17 do Ministério da Saúde. Os teores médios de Al, Fe, Na e Ba estiveram abaixo do máximo permitido na referida Portaria (0,2 mg/L e 0,7 mg/L, respectivamente) não apresentando, portanto, nenhum tipo de contaminação por metais tóxicos. Os metais mais abundantes foram: Na (1,7594 mg/L), Mg (0,3156 mg/L), K (0,2756 mg/L) e Ca (0,1644 mg/L). estando apenas uma amostra com teor de bário fora dos padrões da referida Portaria, indicando uma provável contaminação pontual durante a captação, envase ou devido à possível adição de sais de bário nessas águas

Estatística multivariada aplicada na avaliação dos parâmetros químicos e físico-químicos da água engarrafada do município de Belém-PA / Multivariate statistics applied in the evaluation of chemical and physical-chemical parameters of bottled water in the municipality of Belém-PA

A estatística multivariada fornece ferramentas importantes no entendimento do comportamento de variáveis físico-químicas e químicas, permitindo traçar padrões de comportamento para diversas matrizes ambientais, como é o caso de águas minerais. Este trabalho teve por objetivo utilizar a estatística multivariada na avaliação de parâmetros químicos e físico-químicos em amostras de água engarrafada comercializada no município de Belém. Foram utilizados softwares de modelagem estatística, como os programas Statistica, Minitab 14 e Microsoft Excel para análise de correlação, Box Plot, ANOVA Fator Único, Análise de Agrupamentos Hierárquicos (HCA) e Análise das Componentes Principais (PCA). Os resultados mostraram que a maioria dos elementos químicos e variáveis físico-químicas se apresentou dentro da conformidade com a legislação e sem variações significativas. Os metais em maiores concentrações nas águas minerais tendem a possuir comportamentos semelhantes, como é o caso do K, Mg, Na, Ba e Ca. Os testes de PCA mostraram que a maioria das amostras avaliadas não se comportam de maneira semelhante, apresentando ainda como variáveis mais significativas salinidade, condutividade, Ba, Ca, K e Na, Al e Be. Concluiu-se que a estatística multivariada pode ser usada como instrumento na avaliação do comportamento de parâmetros químicos e físico-químicos das águas engarrafadas

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment

Measurement of the cross-section and charge asymmetry of WW bosons produced in proton-proton collisions at s=8\sqrt{s}=8 TeV with the ATLAS detector

This paper presents measurements of the $W^+ \rightarrow \mu^+\nu$ and $W^- \rightarrow \mu^-\nu$ cross-sections and the associated charge asymmetry as a function of the absolute pseudorapidity of the decay muon. The data were collected in proton--proton collisions at a centre-of-mass energy of 8 TeV with the ATLAS experiment at the LHC and correspond to a total integrated luminosity of 20.2~\mbox{fb^{-1}}. The precision of the cross-section measurements varies between 0.8% to 1.5% as a function of the pseudorapidity, excluding the 1.9% uncertainty on the integrated luminosity. The charge asymmetry is measured with an uncertainty between 0.002 and 0.003. The results are compared with predictions based on next-to-next-to-leading-order calculations with various parton distribution functions and have the sensitivity to discriminate between them.Comment: 38 pages in total, author list starting page 22, 5 figures, 4 tables, submitted to EPJC. All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/STDM-2017-13

Search for new phenomena in final states with an energetic jet and large missing transverse momentum in pp collisions at √ s = 8 TeV with the ATLAS detector

Results of a search for new phenomena in final states with an energetic jet and large missing transverse momentum are reported. The search uses 20.3 fb−1 of √ s = 8 TeV data collected in 2012 with the ATLAS detector at the LHC. Events are required to have at least one jet with pT > 120 GeV and no leptons. Nine signal regions are considered with increasing missing transverse momentum requirements between Emiss T > 150 GeV and Emiss T > 700 GeV. Good agreement is observed between the number of events in data and Standard Model expectations. The results are translated into exclusion limits on models with either large extra spatial dimensions, pair production of weakly interacting dark matter candidates, or production of very light gravitinos in a gauge-mediated supersymmetric model. In addition, limits on the production of an invisibly decaying Higgs-like boson leading to similar topologies in the final state are presente