33 research outputs found

    A Sentiment Analysis Dataset for Code-Mixed Malayalam-English

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    There is an increasing demand for sentiment analysis of text from social media which are mostly code-mixed. Systems trained on monolingual data fail for code-mixed data due to the complexity of mixing at different levels of the text. However, very few resources are available for code-mixed data to create models specific for this data. Although much research in multilingual and cross-lingual sentiment analysis has used semi-supervised or unsupervised methods, supervised methods still performs better. Only a few datasets for popular languages such as English-Spanish, English-Hindi, and English-Chinese are available. There are no resources available for Malayalam-English code-mixed data. This paper presents a new gold standard corpus for sentiment analysis of code-mixed text in Malayalam-English annotated by voluntary annotators. This gold standard corpus obtained a Krippendorff's alpha above 0.8 for the dataset. We use this new corpus to provide the benchmark for sentiment analysis in Malayalam-English code-mixed texts

    Neisseria oralis sp. nov., isolated from healthy gingival plaque and clinical samples

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    A polyphasic analysis was undertaken of seven independent isolates of Gram-negative cocci collected from pathological clinical samples from New York, Louisiana, Florida and Illinois and healthy subgingival plaque from a patient in Virginia, USA. The 16S rRNA gene sequence similarity among these isolates was 99.7–100 %, and the closest species with a validly published name was Neisseria lactamica (96.9 % similarity to the type strain). DNA–DNA hybridization confirmed that these isolates are of the same species and are distinct from their nearest phylogenetic neighbour, N. lactamica. Phylogenetic analysis of 16S and 23S rRNA gene sequences indicated that the novel species belongs in the genus Neisseria. The predominant cellular fatty acids were C16 : 0, summed feature 3 (C16 : 1ω7c and/or iso-C15 : 0 2-OH) and C18 : 1ω7c. The cellular fatty acid profile, together with other phenotypic characters, further supports the inclusion of the novel species in the genus Neisseria. The name Neisseria oralis sp. nov. (type strain 6332T = DSM 25276T = LMG 26725T) is proposed

    Funcionalidad familiar y dependencia emocional en estudiantes de 5to de secundaria, con violencia de pareja en dos instituciones educativas públicas de Los Olivos, 2022

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    El objetivo principal del presente estudio fue determinar la relación entra la funcionalidad familiar y dependencia emocional en estudiantes de 5to de secundaria, con violencia de pareja en dos instituciones educativas públicas de Los Olivos – 2022. El tipo de estudio fue correlacional descriptivo y diseño no experimental de corte transversal. La muestra empleada fue de 277 escolares con edades que oscilaban entre los 16 a 18 años obtenidos a través del muestreo no probabilístico por conveniencia; asimismo, los instrumentos empleados fueron la Escala de Funcionalidad Familiar (FACES-III) y el Cuestionario de Dependencia Emocional (CDE). Se obtuvo que las variables se relacionan de manera inversa moderada, significativa y con un tamaño del efecto pequeño (Rho=-.461; r2=.213; p < .001). Con respecto a los resultados comparativos se demostró que no existen diferencias significativas al asociarse las variables y sus dimensiones por sexo; en ese lineamiento, los resultados descriptivos demuestran como nivel más predominante la disfuncionalidad familiar con un 51.6% y la dependencia emocional moderada de 49.8%. Finalmente, se concluye que la funcionalidad familiar y la dependencia emocional están relacionadas inversamente

    La percepción de la calidad del servicio en Electricaribe S.A. bajo el modelo servqual en Barranquilla y su área metropolitana

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    Electricaribe S.A. es la empresa prestadora del servicio eléctrico en 7 (siete) departamentos de la costa Caribe en Colombia. En los últimos años, ha sido investigada e intervenida por la Superintendencia de Servicios Públicos debido a las constantes quejas de sus usuarios, las cuales han sido poco atendidas por parte de esta organización generando pérdida de confianza por parte de estos. En ese orden de ideas, este articulo expone la percepción de la calidad del servicio en Electricaribe S.A. bajo el modelo Servqual con la finalidad de generar un panorama holístico respecto a los principales puntos en los cuales se presentan mayor número de clientes no conformes, a través de la encuesta donde se contemplaron las dimensiones del modelo Servqual para servicio públicos: Fiabilidad, Sensibilidad, Seguridad, Empatía y Elementos Tangibles. En conclusión, los resultados mostraron la no conformidad de los usuarios, tienen una percepción muy baja de estas dimensiones, lo que hace evidente las razones por las cuales fue intervenida por el ente regulatorio. Asimismo, Electricaribe tiene muchas oportunidades de mejora para prestar un servicio de alta calidad

    DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text

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    This paper describes the development of a multilingual, manually annotated dataset for three under-resourced Dravidian languages generated from social media comments. The dataset was annotated for sentiment analysis and offensive language identification for a total of more than 60,000 YouTube comments. The dataset consists of around 44,000 comments in Tamil-English, around 7,000 comments in Kannada-English, and around 20,000 comments in Malayalam-English. The data was manually annotated by volunteer annotators and has a high inter-annotator agreement in Krippendorff's alpha. The dataset contains all types of code-mixing phenomena since it comprises user-generated content from a multilingual country. We also present baseline experiments to establish benchmarks on the dataset using machine learning methods. The dataset is available on Github (https://github.com/bharathichezhiyan/DravidianCodeMix-Dataset) and Zenodo (https://zenodo.org/record/4750858\#.YJtw0SYo\_0M).Comment: 36 page

    Neisseria oralis sp. nov., isolated from healthy gingival plaque and clinical samples

    Get PDF
    A polyphasic analysis was undertaken of seven independent isolates of Gram-negative cocci collected from pathological clinical samples from New York, Louisiana, Florida and Illinois and healthy subgingival plaque from a patient in Virginia, USA. The 16S rRNA gene sequence similarity among these isolates was 99.7–100 %, and the closest species with a validly published name was Neisseria lactamica (96.9 % similarity to the type strain). DNA–DNA hybridization confirmed that these isolates are of the same species and are distinct from their nearest phylogenetic neighbour, N. lactamica. Phylogenetic analysis of 16S and 23S rRNA gene sequences indicated that the novel species belongs in the genus Neisseria. The predominant cellular fatty acids were C16 : 0, summed feature 3 (C16 : 1ω7c and/or iso-C15 : 0 2-OH) and C18 : 1ω7c. The cellular fatty acid profile, together with other phenotypic characters, further supports the inclusion of the novel species in the genus Neisseria. The name Neisseria oralis sp. nov. (type strain 6332T = DSM 25276T = LMG 26725T) is proposed

    Age-associated B cells predict impaired humoral immunity after COVID-19 vaccination in patients receiving immune checkpoint blockade

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    Age-associated B cells (ABC) accumulate with age and in individuals with different immunological disorders, including cancer patients treated with immune checkpoint blockade and those with inborn errors of immunity. Here, we investigate whether ABCs from different conditions are similar and how they impact the longitudinal level of the COVID-19 vaccine response. Single-cell RNA sequencing indicates that ABCs with distinct aetiologies have common transcriptional profiles and can be categorised according to their expression of immune genes, such as the autoimmune regulator (AIRE). Furthermore, higher baseline ABC frequency correlates with decreased levels of antigen-specific memory B cells and reduced neutralising capacity against SARS-CoV-2. ABCs express high levels of the inhibitory FcγRIIB receptor and are distinctive in their ability to bind immune complexes, which could contribute to diminish vaccine responses either directly, or indirectly via enhanced clearance of immune complexed-antigen. Expansion of ABCs may, therefore, serve as a biomarker identifying individuals at risk of suboptimal responses to vaccination

    Combined point of care nucleic acid and antibody testing for SARS-CoV-2 following emergence of D614G Spike Variant

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    Rapid COVID-19 diagnosis in hospital is essential, though complicated by 30-50% of nose/throat swabs being negative by SARS-CoV-2 nucleic acid amplification testing (NAAT). Furthermore, the D614G spike mutant now dominates the pandemic and it is unclear how serological tests designed to detect anti-Spike antibodies perform against this variant. We assess the diagnostic accuracy of combined rapid antibody point of care (POC) and nucleic acid assays for suspected COVID-19 disease due to either wild type or the D614G spike mutant SARS-CoV-2. The overall detection rate for COVID-19 is 79.2% (95CI 57.8-92.9%) by rapid NAAT alone. Combined point of care antibody test and rapid NAAT is not impacted by D614G and results in very high sensitivity for COVID-19 diagnosis with very high specificity
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