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Rifaximin on epigenetics and autophagy in animal model of hepatocellular carcinoma secondary to metabolic-dysfunction associated steatotic liver disease

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World Journal of Hepatology 2024年第1期16卷 75-90页

作者： Matheus Truccolo Michalczuk Larisse Longo Melina Belén Keingeski Bruno de Souza Basso Gabriel Tayguara silveira Guerreiro Jessica T Ferrari JoséEduardo Vargas Cláudia P Oliveira Carolina Uribe-Cruz carlos Thadeu Schmidt Cerski Eduardo Filippi-Chiela Mário ReisÁlvares-da-Silva Division of Gastroenterology Hospital de Clínicas de Porto AlegrePorto Alegre 90035-903Rio Grande do SulBrazil Graduate Program in Gastroenterology and Hepatology Universidade Federal do Rio Grande do SulPorto Alegre 90035-003Rio Grande do SulBrazil Experimental Laboratory of Hepatology and Gastroenterology Hospital de Clínicas de Porto AlegrePorto Alegre 90035-903Rio Grande do SulBrazil Laboratory of Inflammatory and Neoplastic Cells Universidade Federal do ParanáParaná81530900Brazil Department of Gastroenterology(LIM07) Faculdade de Medicina da Universidade de São PauloSão Paulo 01246903Brazil Facultad de Ciencias de la Salud Universidad Católica de las MisionesPosadasMisiones 3300Argentina Unit of Surgical Pathology Hospital de Clinicas de Porto AlegrePorto Alegre 90035-903Rio Grande do SulBrazil Center of Biotechnology Universidade Federal do Rio Grande do SulPorto Alegre 90035-003Rio Grande do SulBrazil Department of Morphological Sciences Universidade Federal do Rio Grande do SulPorto Alegre 90.050-170Rio Grande do SulBrazil Conselho Nacional de Desenvolvimento Científico e Tecnológico(CNPq) Conselho Nacional de Desenvolvimento Científico e Tecnológico(CNPq)ResearcherBrasília 71.605-001Brazil

BACKGROUND Prevalence of hepatocellular carcinoma(HCC)is increasing,especially in patients with metabolic dysfunctionassociated steatotic liver disease(MASLD).AIM To investigate rifaximin(RIF)effects on epigenetic/autophagy markers in *** Adult Sprague-Dawley rats were randomly assigned(n=8,each)and treated from 5-16 wk:Control[standard diet,water plus gavage with vehicle(Veh)],HCC[high-fat choline deficient diet(HFCD),diethylnitrosamine(DEN)in drinking water and Veh gavage],and RIF[HFCD,DEN and RIF(50 mg/kg/d)gavage].Gene expression of epigenetic/autophagy markers and circulating miRNAs were *** All HCC and RIF animals developed metabolic-dysfunction associated steatohepatitis fibrosis,and cirrhosis,but three RIF-group did not develop *** animals who developed HCC with those who did not,miR-122,miR-34a,tubulin alpha-1c(Tuba-1c),metalloproteinases-2(Mmp2),and metalloproteinases-9(Mmp9)were significantly higher in the *** opposite occurred with Becn1,coactivator associated arginine methyltransferase-1(Carm1),enhancer of zeste homolog-2(Ezh2),autophagy-related factor LC3A/B(Map1 Lc3b),and p62/sequestosome-1(p62/SQSTM1)-*** with controls,Map1 Lc3b,Becn1 and Ezh2 were lower in HCC and RIF-groups(P0.05).miR-122 was higher in HCC,and miR-34a in RIF compared to controls(P0.05).CONCLUSION RIF might have a possible beneficial effect on preventing/delaying liver carcinogenesis throu

关键词： Animal model Autophagy Epigenetic Hepatocellular carcinoma Metabolic dysfunction-associated steatotic liver disease Rifaximin

Numerical Solutions of the Classical and Modified Buckley-Leverett Equations Applied to Two-Phase Fluid Flow

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Open Journal of Fluid Dynamics 2024年第3期14卷 184-204页

作者： Raphael de O. Garcia Graciele P. silveira Department of Actuarial Science Federal University of So Paulo Osasco Brazil Department of Physics Chemistry and Mathematics Federal University of So Carlos Sorocaba Brazil

Climate change is a reality. The burning of fossil fuels from oil, natural gas and coal is responsible for much of the pollution and the increase in the planet’s average temperature, which has raised discussions on the subject, given the emergencies related to climate. An energy transition to clean and renewable sources is necessary and urgent, but it will not be quick. In this sense, increasing the efficiency of oil extraction from existing sources is crucial, to avoid waste and the drilling of new wells. The purpose of this work was to add diffusive and dispersive terms to the Buckley-Leverett equation in order to incorporate extra phenomena in the temporal evolution between the water-oil and oil-water transitions in the pipeline. For this, the modified Buckley-Leverett equation was discretized via essentially weighted non-oscillatory schemes, coupled with a three-stage Runge-Kutta and a fourth-order centered finite difference methods. Then, computational simulations were performed and the results showed that new features emerge in the transitions, when compared to classical simulations. For instance, the dispersive term inhibits the diffusive term, adding oscillations, which indicates that the absorption of the fluid by the porous medium occurs in a non-homogeneous manner. Therefore, based on research such as this, decisions can be made regarding the replacement of the porous medium or the insertion of new components to delay the replacement.

关键词： Computational Fluid Dynamics Buckley-Leverett Equation Numerical Methods Two-phase Fluid Flow

Complex derivatives valuation: applying the Least-Squares Monte Carlo Simulation Method with several polynomial basis

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Financial Innovation 2016年第1期2卷 1-14页

作者： Ursula silveira Monteiro de Lima carlos Patricio Samanez Department of Industrial Engineering Pontifical Catholic University of Rio de JaneiroMarquês de São Vicente Street225/22453-900 GáveaRio de JaneiroBrazil

Background:This article investigates the Least-Squares Monte Carlo Method by using different polynomial basis in American Asian Options *** standard approach in the option pricing literature is to choose the basis *** comparing four different polynomial basis we show that the choice of basis interferes in the option's ***:We assess Least-Squares Method performance in pricing four different American Asian Options by using four polynomial basis:Power,Laguerre,Legendre and Hermite *** every American Asian Option priced,three sets of parameters are used in order to evaluate it ***:We show that the choice of the basis interferes in the option's price by showing that one of them converges to the option's value faster than any other by using fewer simulated *** the case of an Amerasian call option,for example,we find that the preferable polynomial basis is Hermite *** an Amerasian put option,the Power polynomial basis is *** empirical outcome is theoretically unpredictable,since in principle all basis can be indistinctly used when pricing the ***:In this article The Least-Squares Monte Carlo Method performance is assessed in pricing four different types of American Asian Options by using four different polynomial basis through three different sets of *** results suggest that one polynomial basis is best suited to perform the method when pricing an American Asian *** all basis can be indistinctly used when pricing the ***,our results does not confirm *** find that when pricing an American Asian put option,Power A is better than the other basis we have studied here whereas when pricing an American Asian call,Hermite A is better.

关键词： Complex derivatives valuation Least-Squares Monte Carlo Method Amerasian options Polynomial basis

Lactobacillus bulgaricus inhibits colitis-associated cancer via a negative regulation of intestinal inflammation in azoxymethane/dextran sodium sulfate model

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World Journal of Gastroenterology 2020年第43期26卷 6782-6794页

作者： Denise Sayuri Calheiros silveira Luciana Chain Veronez Luis carlos Lopes-Junior Elen Anatriello Mariangela Ottoboni Brunaldi Gabriela Pereira-da-Silva Department of Biochemistry and Immunology University of São Paulo at Ribeirão Preto Medical SchoolRibeirão Preto 14049-900SPBrazil Health Sciences Center Federal University of Espírito Santo-UFESVitória 29043-900ESBrazil Institute of Science and Technology Federal University of São PauloUNIFESPSão Josédos Campos 12231-280SPBrazil Department of Pathology and Forensic Medicine University of São PauloRibeirao Preto 14040-902SPBrazil Department of Maternal-Infant Nursing and Public Health University of São Paulo at Ribeirão Preto College of NursingRibeirão Preto 14040-902SPBrazil

BACKGROUND Colitis-associated cancer(CAC)accounts for 2%-3%of colorectal cancer(CRC)cases preceded by inflammatory bowel diseases(IBD)such as Crohn's disease and ulcerative *** microbiota has been reported to play a central role in the pathogenesis of IBD and ***,numerous prebiotics and probiotics have being investigated as antitumor agents due to their capacity to modulate inflammatory *** studies have indicated that lactic acid bacteria could be successfully used in managing sporadic CRC,however little is known about their role in *** To investigate the effect of the probiotic Lactobacillus bulgaricus(***)during the development of an experimental model of colitis associated colon cancer(CAC).METHODS C57BL/6 mice received an intraperitoneal injection of azoxymethane(10 mg/kg),followed by three cycles of sodium dextran sulphate diluted in water(5%w/v).Probiotic group received daily *** inflammation was determined by scoring clinical *** levels were determined from colon and/or tumor samples by ELISA BD OptEIATM *** level of significance was set at P<*** were generated and statistical analysis performed using the software GraphPad Prism *** *** treatment inhibited of total tumor volume and mean size of *** addition,the probiotic also attenuated the clinical signs of intestinal inflammation inducing a decrease in intestinal and tumor levels of IL-6,TNF-α,IL-17,IL-23 and IL-1β.CONCLUSION Our results suggest a potential chemopreventive effect of probiotic on *** regulates the inflammatory response and preventing CAC.

关键词： Lactobacillus bulgaricus Colitis-associated cancer Colorectal cancer Carcinogenesis Probiotics Inflammation

The health care economic-industrial complex: Concepts and general characteristics

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Health 2013年第10期5卷 1607-1621页

作者： carlos augusto Grabois Gadelha Lais silveira Costa Jose Manuel Santos de Varge Maldonado Pedro Ribeiro Barbosa Marco Antonio Vargas Science Technology and Strategic InputsMinistry of HealthBrasiliaBrazil Research Group Innovation in Health Care Oswaldo Cruz Foundation(Fiocruz)Rio de JaneiroBrazil Professional Master’s Degree Course in Politics and Management of Science Technology and Innovation in Health CareSergio Arouca School of Public HealthOswaldo Cruz FoundationRio de JaneiroBrazil Management and Institutional Development Oswaldo Cruz Foundation(Fiocruz)Rio de JaneiroBrazil Department of Economics Faculty of EconomicsUniversidade Federal FluminenseNiteroiBrazil

The strategic role of health care within the Brazilian development agenda has been increasingly recognized and institutionalized. Aside from its importance as a structural element of the Welfare State, health care plays a leading role in generating innovation. Despite this, the productive base of Brazil’s health care system is extremely fragile, jeopardizing both the universal provision of health care services and the country’s competitive insertion in the globalized environment. This suggests the need for a more systematic analysis of the complex relationships that exist between the technological and the social interests involved in the productive base of health care provision in Brazil. Therefore, the purpose of this article is to enhance our understanding of the productive base of health care, especially given its potential to contribute to a socially inclusive development model, which is the ultimate goal in Brazil.

关键词： Technological Development Policies Health Care Sector Economics Health Sciences Technology and Innovation Management Policies and Cooperation in Science Technology and Innovation

Cerium Separation from Light Rare Earth Concentrate by Liquid-Liquid Extraction

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World Journal of Engineering and Technology 2016年第3期4卷 129-137页

作者： Thiago silveira Formiga carlos Antonio de Morais Centro de Desenvolvimento da Tecnologia Nuclear (CDTN) Belo Horizonte Brazil

This work presents an investigation of solvent extraction parameters in order to obtain high purity cerium from a mixture containing other rare earths elements, as an alternative to oxidation and selective precipitation or dissolution. The study was carried out using a sample of sulfuric liquor obtained from the leaching of monazite rich in light rare earth elements (La, Ce, Pr, Nd) provided by INB (Indústrias Nucleares do Brasil S.A.). Experiments were carried out in chloridric, nitric and sulfuric media. The nitric and hydrochloric solutions were prepared by precipitation of the REE from the sulfuric liquor as rare earths oxalate, calcining the precipitate and dissolving it with nitric or hydrochloric acid. The separation of cerium was investigated in its trivalent and tetravalent forms. The parameters investigated were: type and concentration of extractant, type and amount of the oxidizing agent, liquor acidity, and volumetric ratio between organic and aqueous phases. The preference of the organic phase to extract cerium in its oxidized form (IV) over the other rare earths elements was confirmed, allowing the obtainment of a high purity cerium solution. The best results were achieved in nitric medium, with cerium in its tetravalent form, using cationic extractants (P507 or D2EHPA) and a mixture of potassium persulfate and silver chloride as oxidizing agents, yielding over 99% of cerium extraction with over 99% of purity.

关键词： Cerium Cerium Extraction Cerium Oxidation Rare Earths Elements

Pramipexole, a dopamine D3/D2 receptor-preferring agonist, attenuates reserpine-induced fibromyalgia-like model in mice

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Neural Regeneration Research 2022年第2期17卷 450-458页

作者： carlos Pereira Martins Rodrigo Sebben Paes Gabriela Mantovani Baldasso Eduarda Gomes Ferrarini Rahisa Scussel Rubya Pereira Zaccaron Ricardo Andrez Machado-de-Avila Paulo Cesar Lock silveira Rafael Cypriano Dutra Laboratory of Autoimmunity and Immunopharmacology Department of Health SciencesCampus AraranguaUniversidade Federal de Santa CatarinaAraranguáSCBrazil Post-Graduate Program of Neuroscience Center of Biological SciencesUniversidade Federal de Santa CatarinaFlorianópolisSCBrazil Laboratory of Experimental Physiopathology Program of Postgraduate in Science of HealthUniversidade do Extremo Sul CatarinenseCriciumaSCBrazil

Fibromyalgia(FM) is a complex pathology described as persistent hyperalgesia including somatic and mood dysfunctions, depression and anxiety. Although the etiology of FM is still unknown, a significant decrease in biogenic amines is a common characteristic in its pathogenesis. Here, our main objective was to investigate the role of dopamine D3/D2 receptor during the reserpine-induced pain in mice. Our results showed that pramipexole(PPX) – a dopaminergic D3/D2 receptor agonist – inhibited mechanical allodynia and thermal sensitivity induced by reserpine. Relevantly, PPX treatment decreased immobility time and increased the number of grooming in the forced swimming test and splash test, respectively. Animals that received PPX remained longer in the open arms than the reserpine group using elevated plusmaze apparatus. The repeated PPX administration, given daily for 4 days, significantly blocked the mechanical and thermal allodynia during FM model, similarly to pregabalin, although it failed to affect the reserpine-induced thermal nociception. Reserpine administration induced significant downregulation of dopamine concentration in the central nervous system, and repeated treatment with PPX restored dopamine levels in the frontal cortex and spinal cord tissues. Moreover, PPX treatment inhibited oxidants production such as DCFH(2′,7′-dichlorodihydrofluorescein) and nitrite, also decreased oxidative damage(carbonyl), and upregulated the activity of superoxide dismutase in the spinal cord. Together, our findings demonstrated the ability of dopamine D3/D2 receptor-preferring agonist in reducing pain and mood dysfunction allied to FM in mice. All experimental protocols were approved by the Universidade Federal de Santa Catarina(UFSC) Ethics Committee(approval No. 2572210218) on May 10, 2018.

关键词： dopamine dopaminergic system fibromyalgia hyperalgesia pain pramipexole reserpine

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小型水坝安全管理现状(英文)

岩土工程学报 2008年第11期30卷 1713-1721页

作者： Joao Francisco Alves silveira Technical Director SBB Engenharia Ltda 1265 Miguel Petroni St - Sao Carlos S.P. Brazil

提出了关于小型水坝安全管理的一些见解,并尝试区分小坝与大坝之间的主要特征。小型水坝的安全管理包括一些政策、程序和现场监测,目的在于将水坝风险最小化。有关设计标准、材料参数和小坝降等原始资料的仔细检查,小坝巡视检查表,水坝... 详细信息

提出了关于小型水坝安全管理的一些见解,并尝试区分小坝与大坝之间的主要特征。小型水坝的安全管理包括一些政策、程序和现场监测,目的在于将水坝风险最小化。有关设计标准、材料参数和小坝降等原始资料的仔细检查,小坝巡视检查表,水坝监测指导性文件和对小型坝按安全进行分级都是本文阐述的主要内容。

关键词：安全监测巡视检查小型水坝

DiagData： A Tool for Generation of Fuzzy Inference System

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Journal of Environmental Science and Engineering(B) 2012年第3期1卷 336-343页

作者： Silvia Maria Fonseca silveira Massruha Raphael Fuini Riccioti Helano Povoas Lima carlos Alberto AlvesMeira Laboratory of Computational Intelligence Embrapa Agricultural Informatics S6o Paulo State 13083-886 Brazil

In this paper, it described the architecture of a tool called DiagData. This tool aims to use a large amount of data and information in the field of plant disease diagnostic to generate a disease predictive system. In this approach, techniques of data mining are used to extract knowledge from existing data. The data is extracted in the form of rules that are used in the development of a predictive intelligent system. Currently, the specification of these rules is built by an expert or data mining. When data mining on a large database is used, the number of generated rules is very complex too. The main goal of this work is minimize the rule generation time. The proposed tool, called DiagData, extracts knowledge automatically or semi-automatically from a database and uses it to build an intelligent system for disease prediction. In this work, the decision tree learning algorithm was used to generate the rules. A toolbox called Fuzzygen was used to generate a prediction system from rules generated by decision tree algorithm. The language used to implement this software was Java. The DiagData has been used in diseases prediction and diagnosis systems and in the validation of economic and environmental indicators in agricultural production systems. The validation process involved measurements and comparisons of the time spent to enter the rules by an expert with the time used to insert the same rules with the proposed tool. Thus, the tool was successfully validated, providing a reduction of time.

关键词： Prediction modelling data mining decision tree machine learning fuzzy inference system fuzzygen.