4 research outputs found
Il paradigma perturbante della differenza sessuale. Una filosofia femminista
No full textTraduzione dal francese di alcuni saggi di F. Duroux accompagnato, scritti tra il 1983 e il 2005. Leggere delle questioni cui la sua scrittura risponde, dei problemi che la filosofia si è posta nel dipanarsi del tempo e delle occasioni d'attualità per le quali ha sentito l'urgenza di esporsi nella dimensione del dibattito pubblico è come seguire un'autobiografia di pensiero vivente. Molte le tematiche trattate: dalla scommessa problematica della differenza sessuale alla critica al concetto di genere; dalle forme della politica delle donne alle questioni che riguardano la legge. Nodi scoperti e brucianti per il femminismo, legati insieme da una sottostante critica al neo liberalismo di matrice maschile e da una lettura della realtà in chiave psicoanalitica
Obtenção de extrato de erva baleeira (Cordia verbenacea D.C.) por diferentes técnicas: medida da atividade biológica, modelagem matemática e determinação do equilíbrio de fases
No full textTese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia de Alimentos.A erva baleeira (Cordia verbenacea) é uma planta da Família das Borraginaceae, encontrada nas restingas marítimas de quase todo o litoral brasileiro, sendo mais comumente encontrada no trecho compreendido entre os Estados de Santa Catarina e São Paulo. Devido ao seu perfil de composição, a erva baleeira possui propriedades antiinflamatória e cicatrizante sendo indicada para o tratamento de reumatismo, artrite reumatóide, tendinite, dores lombares e musculares e nevralgias. Os compostos da classe dos sesquiterpenos encontrados em seus extratos como a-humuleno e trans-cariofileno são os principais responsáveis pela sua atividade antiinflamatória. Assim, o presente trabalho tem como objetivo avaliar a qualidade dos extratos de erva baleeira obtidos a partir da tecnologia supercrítica através da comparação, em termos de rendimento de processo, composição dos extratos e atividade biológica, com os extratos obtidos a partir das técnicas convencionais de extração (maceração seguida de fracionamento com solventes orgânicos, extração soxhlet e hidrodestilação) e também com o uso de etanol e acetato de etila como co-solventes junto à ESC. Os extratos supercríticos de erva baleeira foram obtidos numa faixa de pressão de 100 a 300 bar e temperatura de 30, 40 e 50ºC com densidade do solvente variando de 0,385 a 0,948 g/cm3 sendo o maior rendimento de 5,0% para a condição de extração de 300 bar e 50ºC. Foram utilizados solventes orgânicos de diferentes polaridades na extração convencional como: hexano, diclorometano, acetato de etila, etanol, acetona e misturas aquosas de 25 e 50% (etanol/água). O etanol e o acetato de etila foram utilizados nas concentrações de 2, 5 e 8% em massa como co-solventes na ESC, proporcionando rendimentos de até 8,6%. Foram identificados importantes compostos nos extratos de erva baleeira como a-humuleno, trans-cariofileno, espatulenol, cariofileno óxido, b-sitosterol e artemetina. Também foi avaliada, através do método DPPH (2,2-difenil-1-picrilhidrazil), método ABTS (2,2#-azino-bis-(3-etil-benzotiazolna-6-ácido sulfônico), radical ânion superóxido e proteção contra a peroxidação lipídica a atividade antioxidante dos extratos obtidos com as diferentes tecnologias. O conteúdo de compostos fenólicos presente nos extratos foi determinado através do método de Folin-Ciocalteau. A erva baleeira se mostrou uma importante fonte de compostos com atividade antioxidante com destaque para os extratos: fração acetato de etila da maceração, misturas aquosas etanol/água e extrato acetato de etila da soxhlet que apresentaram as maiores capacidades antioxidantes. A atividade antimicrobiana foi avaliada e os extratos supercríticos mostraram forte inibição antimicrobiana principalmente contra bactérias Gram-positivas com destaque para o extrato obtido com CO2 puro a 30ºC e 300 bar. Para a descrição da cinética de extração do sistema extrato de erva baleeira + CO2 supercrítico foram empregados diferentes modelos de transferência de massa apresentados na literatura. O modelo de Sovová (1994) foi o que melhor se ajustou aos dados experimentais e a convecção se mostrou como principal mecanismo de transferência de massa e a difusão como fator limitante. Foi investigado experimentalmente o comportamento de fases dos sistemas binários contendo a-humuleno + CO2 e trans-cariofileno + CO2 e do sistema ternário formado por a-humuleno + trans-cariofileno + CO2, através do método estático sintético. Os resultados experimentais obtidos no estudo do equilíbrio de fases apresentaram transições de fases do tipo líquidovapor, líquido-líquido e líquido-líquido-vapor. Cordia verbenacea is a plant from the Borraginaceae family, widely find along the southeastern coast of Brazil, especially between the states of Santa Catarina and São Paulo. Due to its composition profile, Cordia verbenacea presents anti-inflammatory and healing properties, being indicated for treatment of rheumatism, rheumatoid arthritis, tendonitis, muscle and back pain and neuralgia. The compounds from the sesquiterpene class present in Cordia verbenacea extracts, such as a-humulene and trans-caryophyllene, are the main responsible for its antiinflammatory activity. Therefore, the aim of this study is to evaluate the quality of Cordia verbenacea extracts obtained by supercritical technology and compare, in terms of process yield, extracts composition and biological activity, with extracts obtained by conventional extraction techniques (maceration followed by fractionation with organic solvents, soxhlet extraction and hydrodistillation). The supercritical method was also improved by using ethanol and acetate ethyl as co-solvents. The supercritical extracts of Cordia verbenacea were obtained in a range of pressure from 100 to 300 bar and 30, 40 and 50°C of temperature with density of solvent varying from 0.385 a 0.948 g/cm3, being the largest extraction yield of 5.0% for the extraction condition of 300 bar and 50°C. The organic solvents of different polarity, used in conventional methods were: hexane, dichloromethane, ethyl acetate, ethanol, acetone and aqueous mixtures of 25 and 50% (ethanol / water). Ethanol and ethyl acetate were used in concentrations of 2.5 and 8% in mass as co-solvents in the supercritical extraction, providing yields up to 8.6%. Relevant compounds were identified in extracts of Cordia verbenacea as a-humulene, trans-caryophyllene, spathulenol, caryophyllene oxide, b-sitosterol and artemetin. The potential of the extracts were evaluated by the methods DPPH (2,2 - diphenyl - 1 - picrylhydrazyl), ABTS (2,2#- azinobis - 3 - ethylbenzothiazoline 6 - ulfonate), superoxide anion radical and protection against lipid peroxidation, in order to detect the antioxidant activity of extracts obtained by the different extraction technologies. The content of phenolic compounds present in the extracts was determined by the method of Folin-Ciocalteau. Cordia verbenacea has showed itself an important source of compounds with antioxidant activity, especially for the ethyl acetate fraction (maceration), ethanol/water mixtures and ethyl acetate from soxhlet method which presented the highest antioxidant capacity. The antimicrobial activity was evaluated and the supercritical extracts showed high antimicrobial inhibition, especially against gram-positive bacteria with emphasis to the extract obtained by CO2 at 30ºC and 300 bar. The kinetic description of the system Cordia verbenacea + supercritical CO2 was performed by different mass transfer models, presented in literature. The Sovová (1994) model show the best adjustment with experimental data and the convection was indicated as the main mass transfer mechanism, with diffusion as a limiting factor. The phase behavior was investigated for the binary systems containing a-humulene + CO2 and trans-caryophyllene + CO2 and for the binary system formed by a-humulene + trans-caryophyllene + CO2, through the static synthetic method. The experimental results obtained in the study of equilibrium phases showed transition of phases of the type liquid-vapour, liquid-liquid and iquid-liquid-vapour
Correction: Epidemiology and outcomes of early-onset AKI in COVID-19-related ARDS in comparison with non-COVID-19-related ARDS: insights from two prospective global cohort studies (Critical Care, (2023), 27, 1, (3), 10.1186/s13054-022-04294-5)
No full textFollowing publication of the original article [1], the authors identified that the collaborating authors part of the collaborating author group CCCC Consortium was missing. The collaborating author group is available and included as Additional file 1 in this article
netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity.
No full text[en] UNLABELLED: Multi-view data offer advantages over single-view data for characterizing individuals, which is crucial in precision medicine toward personalized prevention, diagnosis, or treatment follow-up. Here, we develop a network-guided multi-view clustering framework named netMUG to identify actionable subgroups of individuals. This pipeline first adopts sparse multiple canonical correlation analysis to select multi-view features possibly informed by extraneous data, which are then used to construct individual-specific networks (ISNs). Finally, the individual subtypes are automatically derived by hierarchical clustering on these network representations. We applied netMUG to a dataset containing genomic data and facial images to obtain BMI-informed multi-view strata and showed how it could be used for a refined obesity characterization. Benchmark analysis of netMUG on synthetic data with known strata of individuals indicated its superior performance compared with both baseline and benchmark methods for multi-view clustering. In addition, the real-data analysis revealed subgroups strongly linked to BMI and genetic and facial determinants of these classes. NetMUG provides a powerful strategy, exploiting individual-specific networks to identify meaningful and actionable strata. Moreover, the implementation is easy to generalize to accommodate heterogeneous data sources or highlight data structures.
AUTHOR SUMMARY: In recent years, we see the increasing possibility of collecting data from multiple modalities in various fields, requesting novel methods to exploit the consensus among different data types. As exemplified in systems biology or epistasis analyses, the interactions between features may contain more information than the features themselves, thereby necessitating the use of feature networks. Furthermore, in real-life scenarios, subjects, such as patients or individuals, may originate from diverse populations, which underscores the importance of subtyping or clustering these subjects to account for their heterogeneity. In this study, we present a novel pipeline for selecting the most relevant features from multiple data types, constructing a feature network for each subject, and obtaining a subgrouping of samples informed by a phenotype of interest. We validated our method on synthetic data and demonstrated its superiority over several state-of-the-art multi-view clustering approaches. Additionally, we applied our method to a real-life, large-scale dataset of genomic data and facial images, where it effectively identified a meaningful BMI subtyping that complemented existing BMI categories and offered new biological insights. Our proposed method has wide applicability to complex multi-view or multi-omics datasets for tasks such as disease subtyping or personalized medicine
