ANALYSIS OF THE SCIENTIFIC PRODUCTION OF THE ANPCONT CONGRESS: A STUDY BIBLIOMETRIC OF THE PROCESS OF CONVERGENCE TOWARDS INTERNATIONAL ACCOUNTING STANDARDS

A produção científica em Contabilidade vem evoluindo significativamente e essa expansão trouxe a necessidade de técnicas e métodos de pesquisa que permitam acompanhar e avaliar a qualidade da produção acadêmica. Nesse contexto, está inserida a bibliometria. Os estudos em Contabilidade têm como fonte de divulgação os eventos científicos. O presente estudo tem por objetivo analisar os trabalhos que fizeram parte dos anais dos Congressos ANPCONT nos anos de 2009 e 2010, os quais tiveram como foco o processo de convergência dos padrões internacionais de contabilidade. Por meio de um estudo bibliométrico, analisou-se 142 artigos apresentados nas duas edições do evento, segundo as seguintes categorias de análise: número, sexo, titulação, vínculo institucional e UF dos pesquisadores, área temática dos artigos e, ainda, os autores mais produtivos. Trata-se de uma pesquisa dedutiva, descritiva, documental e com abordagem quantitativa. Os resultados evidenciam que 59,15% do total da pesquisa continham três ou quatro autores e que a média de autores por artigo foi de 2,69 e 2,92 em 2009 e 2010, respectivamente. Também se destaca a predominância do sexo masculino nas publicações, bem como o predomínio de doutores na elaboração dos mesmos. Em relação ao vínculo institucional, observou-se que a Fupecape/ES e a FEA/USP concentraram em torno de 30% da produção. Concluiu-se que houve indícios da formação de grupos de pesquisa na maioria dos trabalhos, bem como a preponderância da produção relacionada a programas de pós-graduação stricto sensu. Denotou-se, ainda, que as instituições localizadas no Centro-Sul do país dominam a pesquisa no âmbito desse estudo.The scientific literature on accounting has evolved significantly. With this expansion has come the need for research techniques and methods that can be used to monitor and assess the quality of that academic production. Bibliometrics has a role to play in this context. Studies in Accounting are disseminated at scientific events. This study aims to analyze the papers included the annals of ANPCONT Congress’s held in 2009 and 2010, which focused on the convergence of international accounting standards. One hundred and forty-two (142) papers presented in the two editions of the event were subjected to bibliometric analysis according to the following analytical categories: number, genre, title, institutional affiliation and the researcher’s state of origin within Brazil, thematic area of the articles and the most productive authors. This is a documentary-based deductive, descriptive, research that adopts a quantitative approach. The results show that 59.15% of the total survey contained three or four authors and the average number of authors per article was 2.69 and 2.92 in 2009 and 2010, respectively. Regarding the elaboration of the papers, the predominance of males holding doctoral degrees papers is also highlighted by the study. In relation to institutional affiliation, it was observed that the Fupecape/ES and FEA/USP concentrated around 30% of the production. It was concluded that there was evidence of the formation of research groups in most of the studies, as well as the preponderance of production related to sensu stricto post-graduate programs. It was also noted that institutions located in the center-south of the country dominate the research in this field

Measurement of Drift Velocity in the CMS Barrel Muon Chambers at the CMS Magnet Test Cosmic Challenge

This note reports the results of the analysis performed on the data collected by the CMS Barrel Muon system during the Magnet Test-Cosmic Challenge, aimed to study the Drift Tube chambers behavior at the nominal value of the CMS magnetic field. In particular, the analysis is devoted to the study of the drift velocity in the various equipped regions of the apparatus. It is shown that the drift velocity is significantly affected by the presence of a residual magnetic field in the chamber volume only in the innermost stations, MB1, of Wheel+2; where the maximal variation inside the chamber is of 4 percent, which does not prevent a good functionality of the DT trigger even in this most critical region

Enhanced flavour profiles through radicicol induced genomic variation in the lager yeasts, Saccharomyces pastorianus

The yeasts, Saccharomyces pastorianus, are hybrids of Saccharomyces cerevisiae and Saccharomyces eubayanus and have acquired traits from the combined parental genomes such as ability to ferment a range of sugars at low temperatures and to produce aromatic flavour compounds, allowing for the production of lager beers with crisp, clean flavours. The polyploid strains are sterile and have reached an evolutionary bottleneck for genetic variation. Here we describe an accelerated evolution approach to obtain lager yeasts with enhanced flavour profiles. As the relative expression of orthologous alleles is a significant contributor to the transcriptome during fermentation, we aimed to induce genetic variation by altering the S. cerevisiae to S. eubayanus chromosome ratio. Aneuploidy was induced through the temporary inhibition of the cell's stress response and strains with increased production of aromatic amino acids via the Shikimate pathway were selected by resistance to amino acid analogues. Genomic changes such as gross chromosomal rearrangements, chromosome loss and chromosome gain were detected in the characterised mutants, as were single-nucleotide polymorphisms in ARO4, encoding for DAHP synthase, the catalytic enzyme in the first step of the Shikimate pathway. Transcriptome analysis confirmed the upregulation of genes encoding enzymes in the Ehrlich pathway and the concomitant increase in the production of higher alcohols and esters such as 2-phenylethanol, 2-phenylethyl acetate, tryptophol, and tyrosol. We propose that the polyploid nature of S. pastorianus genomes is an advantageous trait supporting opportunities for genetic alteration in otherwise sterile strain

System Architecture of A European Platform for Health Policy Decision Making: MIDAS

Background: Healthcare data is a rich yet underutilized resource due to its disconnected, heterogeneous nature. A means of connecting healthcare data and integrating it with additional open and social data in a secure way can support the monumental challenge policy-makers face in safely accessing all relevant data to assist in managing the health and wellbeing of all. The goal of this study was to develop a novel health data platform within the MIDAS (Meaningful Integration of Data Analytics and Services) project, that harnesses the potential of latent healthcare data in combination with open and social data to support evidence-based health policy decision-making in a privacy-preserving manner. Methods: The MIDAS platform was developed in an iterative and collaborative way with close involvement of academia, industry, healthcare staff and policy-makers, to solve tasks including data storage, data harmonization, data analytics and visualizations, and open and social data analytics. The platform has been piloted and tested by health departments in four European countries, each focusing on different region-specific health challenges and related data sources. Results: A novel health data platform solving the needs of Public Health decision-makers was successfully implemented within the four pilot regions connecting heterogeneous healthcare datasets and open datasets and turning large amounts of previously isolated data into actionable information allowing for evidence-based health policy-making and risk stratification through the application and visualization of advanced analytics. Conclusions: The MIDAS platform delivers a secure, effective and integrated solution to deal with health data, providing support for health policy decision-making, planning of public health activities and the implementation of the Health in All Policies approach. The platform has proven transferable, sustainable and scalable across policies, data and regions

Meaningful Big Data Integration For a Global COVID-19 Strategy

Abstract With the rapid spread of the COVID-19 pandemic, the novel Meaningful Integration of Data Analytics and Services (MIDAS) platform quickly demonstrates its value, relevance and transferability to this new global crisis. The MIDAS platform enables the connection of a large number of isolated heterogeneous data sources, and combines rich datasets including open and social data, ingesting and preparing these for the application of analytics, monitoring and research tools. These platforms will assist public health author ities in: (i) better understanding the disease and its impact; (ii) monitoring the different aspects of the evolution of the pandemic across a diverse range of groups; (iii) contributing to improved resilience against the impacts of this global crisis; and (iv) enhancing preparedness for future public health emergencies. The model of governance and ethical review, incorporated and defined within MIDAS, also addresses the complex privacy and ethical issues that the developing pandemic has highlighted, allowing oversight and scrutiny of more and richer data sources by users of the system

Identification of global inhibitors of cellular glycosylation

Small molecule inhibitors of glycosylation enzymes are valuable tools for dissecting glycan functions and potential drug candidates. Screening for inhibitors of glycosyltransferases are mainly performed by in vitro enzyme assays with difficulties moving candidates to cells and animals. Here, we circumvent this by employing a cell-based screening assay using glycoengineered cells expressing tailored reporter glycoproteins. We focused on GalNAc-type O-glycosylation and selected the GalNAc-T11 isoenzyme that selectively glycosylates endocytic low-density lipoprotein receptor (LDLR)-related proteins as targets. Our screen of a limited small molecule compound library did not identify selective inhibitors of GalNAc-T11, however, we identify two compounds that broadly inhibited Golgi-localized glycosylation processes. These compounds mediate the reversible fragmentation of the Golgi system without affecting secretion. We demonstrate how these inhibitors can be used to manipulate glycosylation in cells to induce expression of truncated O-glycans and augment binding of cancer-specific Tn-glycoprotein antibodies and to inhibit expression of heparan sulfate and binding and infection of SARS-CoV-2

The small angle rear tracking detector of ZEUS

Abstract The design, construction, installation, and performance of the small angle rear tracking detector of the ZEUS experiment are described. The results on electron position measurement, electron energy correction, and background reduction at the first-level trigger are presented. The impact on the measurement of the proton structure function is discussed

Angular and Current-Target Correlations in Deep Inelastic Scattering at HERA

Correlations between charged particles in deep inelastic ep scattering have been studied in the Breit frame with the ZEUS detector at HERA using an integrated luminosity of 6.4 pb-1. Short-range correlations are analysed in terms of the angular separation between current-region particles within a cone centred around the virtual photon axis. Long-range correlations between the current and target regions have also been measured. The data support predictions for the scaling behaviour of the angular correlations at high Q2 and for anti-correlations between the current and target regions over a large range in Q2 and in the Bjorken scaling variable x. Analytic QCD calculations and Monte Carlo models correctly describe the trends of the data at high Q2, but show quantitative discrepancies. The data show differences between the correlations in deep inelastic scattering and e+e- annihilation.Comment: 26 pages including 10 figures (submitted to Eur. J. Phys. C

Prolonged higher dose methylprednisolone vs. conventional dexamethasone in COVID-19 pneumonia: a randomised controlled trial (MEDEAS)

Dysregulated systemic inflammation is the primary driver of mortality in severe COVID-19 pneumonia. Current guidelines favor a 7-10-day course of any glucocorticoid equivalent to dexamethasone 6 mg·day-1. A comparative RCT with a higher dose and a longer duration of intervention was lacking