1,882 research outputs found

    Flat parabolic vector bundles on elliptic curves

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    We describe the moduli space of logarithmic rank 2 connections on elliptic curves with 2 poles.Comment: new version: fixed a sign in Proposition 2.

    On the moduli of logarithmic connections on elliptic curves

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    We describe moduli spaces of logarithmic rank 22 connections on elliptic curves with n≄1n \geq 1 poles and generic residues. In particular, we generalize a previous work by the first and second named authors. Our main approach is to analyze the underlying parabolic bundles; their stability and instability play a major role.Comment: Some changes in the exposition. Final version to appear in Math. Z.. Comments are still welcome

    SuperQuant:a Data Processing Approach to Increase Quantitative Proteome Coverage

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    SuperQuant is a quantitative proteomics data processing approach that uses complementary fragment ions to identify multiple coisolated peptides in tandem mass spectra allowing for their quantification. This approach can be applied to any shotgun proteomics data set acquired with high mass accuracy for quantification at the MS<sup>1</sup> level. The SuperQuant approach was developed and implemented as a processing node within the Thermo Proteome Discoverer 2.x. The performance of the developed approach was tested using dimethyl-labeled HeLa lysate samples having a ratio between channels of 10­(heavy):4­(medium):1­(light). Peptides were fragmented with collision-induced dissociation using isolation windows of 1, 2, and 4 Th while recording data both with high-resolution and low-resolution. The results obtained using SuperQuant were compared to those using the conventional ion trap-based approach (low mass accuracy MS<sup>2</sup> spectra), which is known to achieve high identification performance. Compared to the common high-resolution approach, the SuperQuant approach identifies up to 70% more peptide–spectrum matches (PSMs), 40% more peptides, and 20% more proteins at the 0.01 FDR level. It identifies more PSMs and peptides than the ion trap-based approach. Improvements in identifications resulted in up to 10% more PSMs, 15% more peptides, and 10% more proteins quantified on the same raw data. The developed approach does not affect the accuracy of the quantification and observed coefficients of variation between replicates of the same proteins were close to the values typical for other precursor ion-based quantification methods. The raw data is deposited to ProteomeXchange (PXD001907). The developed node is available for testing at https://github.com/caetera/SuperQuantNode

    The Master Equation: reaching the equilibrium

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    In the last years, a great interest in nonequilibrium systems has been witnessed. Although the Master Equations are one of the most common methods used to describe these systems, the literature about these equations is not straightforward due to the mathematical framework used in their derivations. The goals of this work are to present the physical concepts behind the Master Equations development and to discuss their basic proprieties via a matrix approach. It is also shown how the Master Equations can be used to model typical nonequilibrium processes like multi-wells chemical reactions and radiation absorption processes.Conselho Nacional de Desenvolvimento CientĂ­fico e TecnolĂłgico (CNPq

    PERCEPÇÃO DE ESTUDANTES DE ODONTOLOGIA SOBRE AS IMPLICAÇÕES DAS ATIVIDADES LABORATORIAIS SOBRE AS PRÁTICAS CLÍNICAS: ESTUDO TRANSVERSAL

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    As a learning space that precedes clinical activities, the pre-clinical laboratory provides Dentistry students with the necessary experience of knowledge of materials, instruments and techniques that will be used in patients, in a controlled environment. The aim of this study was to understand the implications of pre-clinical practices on clinical activities through the perception of dentistry students in a private institution of higher education. A cross-sectional, exploratory study was carried out, with the application of a structured questionnaire to 87 Dentistry students, who were enrolled in the second, fourth or sixth period, in the second half of 2022. The questionnaire addressed sociodemographic issues, in addition to the time of use of the laboratory in extracurricular hours and the perception of good laboratory practices and their influence on clinical practices, the influence of the presence of monitors and interns was also questioned. The sociodemographic profile of dentistry students is white, young with monthly income between 2 and 5 minimum wages. Students spend an average of 1 to 3 extracurricular hours in the laboratory, although most of the interviewees believe that the greater number of hours of laboratory practices favors learning and their clinical performance, in addition to reporting that the presence of the intern and the monitor favors the learning process. It appears after the above that students recognize the importance of pre-clinical practice for their future clinical activities, thus it is up to educational institutions to offer to maintain the constant improvement of these skills as the constant adaptation of simulation environments, always aiming at the greatest similarity with what is found in the clinical experience, with the presence of monitors and interns, factors that, when associated, enhance the teaching-learning process.Enquanto espaço de aprendizagem que precede as atividades clĂ­nicas, o laboratĂłrio prĂ©-clĂ­nico propicia aos estudantes de Odontologia, a vivĂȘncia necessĂĄria do conhecimento de materiais, instrumentais e tĂ©cnicas que serĂŁo utilizados em pacientes, em um ambiente controlado. O objetivo deste trabalho foi compreender as implicaçÔes das prĂĄticas prĂ©-clĂ­nicas sobre as atividades clĂ­nicas pela percepção dos prĂłprios estudantes de Odontologia, de uma instituição privada de ensino superior. Foi realizado um estudo transversal, exploratĂłrio, com aplicação de questionĂĄrio estruturado para 87 estudantes de Odontologia, que estavam matriculados no segundo, quarto ou sexto perĂ­odo, no segundo semestre de 2022. O questionĂĄrio abordava questĂ”es sociodemogrĂĄficas, alĂ©m de tempo de uso do laboratĂłrio em horas extracurriculares e a percepção sobre boas prĂĄticas laboratoriais e sua influĂȘncia nas prĂĄticas clĂ­nicas, a influĂȘncia da presença de monitores e estagiĂĄrios tambĂ©m foi questionada. O perfil sociodemogrĂĄfico dos estudantes de Odontologia Ă© de brancos, jovens com renda mensal entre 2 e 5 salĂĄrios-mĂ­nimos. Os estudantes passam em mĂ©dia 1 a 3 horas extracurriculares no laboratĂłrio, apesar da maior parte dos entrevistados acreditar que a maior quantidade de horas de prĂĄticas laboratoriais favorece o aprendizado e sua atuação clĂ­nica, alĂ©m de relatarem que a presença do estagiĂĄrio e do monitor, favorecem o processo de aprendizagem. Verifica-se apĂłs o exposto que os estudantes reconhecem a importĂąncia da prĂĄtica prĂ©-clĂ­nica para suas futuras atividades clĂ­nicas, desta forma cabe as instituiçÔes de ensino ofertar manter o aprimoramento constante dessas habilidades como a adaptação constante dos ambientes de simulação, visando sempre a maior similaridade com o que se encontra na vivĂȘncia clĂ­nica, com a presença de monitores e estagiĂĄrios, fatores esses que associados potencializam o processo ensino-aprendizagem

    Functional characterization of a putative Glycine max ELF4 in transgenic arabidopsis and its role during flowering control.

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    Flowering is an important trait in major crops like soybean due to its direct relation to grain production. The circadian clock mediates the perception of seasonal changes in day length and temperature to modulate flowering time. The circadian clock gene EARLY FLOWERING 4 (ELF4) was identified in Arabidopsis thaliana and is believed to play a key role in the integration of photoperiod, circadian regulation, and flowering. The molecular circuitry that comprises the circadian clock and flowering control in soybeans is just beginning to be understood. To date, insufficient information regarding the soybean negative flowering regulators exist, and the biological function of the soybean ELF4 (GmELF4) remains unknown. Here, we investigate the ELF4 family members in soybean and functionally characterize a GmELF4 homologous gene. The constitutive overexpression of GmELF4 delayed flowering in Arabidopsis, showing the ELF4 functional conservation among plants as part of the flowering control machinery. We also show that GmELF4 alters the expression of Arabidopsis key flowering time genes (AtCO and AtFT), and this down-regulation is the likely cause of flowering delay phenotypes. Furthermore, we identified the GmELF4 network genes to infer the participation of GmELF4 in soybeans. The data generated in this study provide original insights for comprehending the role of the soybean circadian clock ELF4 gene as a negative flowering controller

    A global database for metacommunity ecology, integrating species, traits, environment and space

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    The use of functional information in the form of species traits plays an important role in explaining biodiversity patterns and responses to environmental changes. Although relationships between species composition, their traits, and the environment have been extensively studied on a case-by-case basis, results are variable, and it remains unclear how generalizable these relationships are across ecosystems, taxa and spatial scales. To address this gap, we collated 80 datasets from trait-based studies into a global database for metaCommunity Ecology: Species, Traits, Environment and Space; “CESTES”. Each dataset includes four matrices: species community abundances or presences/absences across multiple sites, species trait information, environmental variables and spatial coordinates of the sampling sites. The CESTES database is a live database: it will be maintained and expanded in the future as new datasets become available. By its harmonized structure, and the diversity of ecosystem types, taxonomic groups, and spatial scales it covers, the CESTES database provides an important opportunity for synthetic trait-based research in community ecology
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