Breaking news: Unveiling a new dataset for Portuguese news classification and comparative analysis of approaches

Every day thousands of news are published on the web and filtering tools can be used to extract knowledge on specific topics. The categorization of news into a predefined set of topics is a subject widely studied in the literature, however, most works are restricted to documents in English. In this work, we make two contributions. First, we introduce a Portuguese news dataset collected from WikiNews an open-source media that provide news from different sources. Since there is a lack of datasets for Portuguese, and an existing one is from a single news channel, we aim to introduce a dataset from different news channels. The availability of comprehensive datasets plays a key role in advancing research. Second, we compare different architectures for Portuguese news classification, exploring different text representations (BoW, TF-IDF, Embedding) and classification techniques (SVM, CNN, DJINN, BERT) for documents in Portuguese, covering classical methods and current technologies. We show the trade-off between accuracy and training time for this application. We aim to show the capabilities of available algorithms and the challenges faced in the area.

Psychometric Properties of the Spanish Burnout Inventory in University Teachers in Hybrid Education

Introduction

The scientific literature argues the urgent need for adequate tools to assess burnout in human service professionals, however, little progress has been made on this in university teachers in hybrid environments, even though after the pandemic, these work scenarios are predominant.

Objective

To determine the psychometric properties of invariance between male and female teachers of hybrid education in the Spanish Burnout Inventory (SBI).

Method

The anonymous, self-administered SBI was administered to 1060 university teachers in Lima, Peru, from online random sampling. Of the total number of participants, 626 were women (59.1%) and 434 were men (40.9%), with an age range of 22 to 76 years, with a mean of 46.97 and a standard deviation of 10.256. It should be noted that 74.5% of the teachers worked full time. The analysis used the statistical programs AMOS v24, SPSS v26 and R-Project v4.1.2. First, a descriptive analysis of the data was performed, as well as a multivariate normality test of the data. Secondly, confirmatory factor analysis was performed; finally, a factorial invariance test was performed.

Results

Cronbach's alpha of the SBI was 0.827, and for each subscale: Enthusiasm toward the job (0.742), Psychological exhaustion (0.889), Indolence (0.819), Guilt (0.816). According to the fit indicators, the confirmatory factor model is adequate. The results supported configural invariance, metric invariance, scalar invariance, and strict invariance in the male and female groups, although further investigation of some items specific to the indolence factor is needed.

Conclusion

The SBI is a valid instrument to assess burnout in university teachers in hybrid environments. Studies associated with the SBI focus on its psychometric properties, burnout prevalence, related variables, and literature reviews. The validation of the SBI in various countries and service areas is discussed, as well as future implications for intervention in burnout prevention and mastery.

Clinical Characteristics Associated with Detected Respiratory Microorganism Employing Multiplex Nested PCR in Patients with Presumptive COVID-19 but Negative Molecular Results in Lima, Peru

The COVID-19 pandemic circumstances have varied the pathogens related to acute respiratory infections (ARI), and most specialists have ignored them due to SARS-CoV-2's similar symptomatology. We identify respiratory pathogens with multiplex PCR in samples with presumptive SARS-CoV-2 but negative RT-qPCR results. We performed a retrospective transversal study employing clinical data and nasopharyngeal swab samples from patients with suspected clinical SARS-CoV-2 infection and a negative PCR result in a private laboratory in Lima, Peru. The samples were analyzed using the FilmArray™ respiratory panel. Of 342 samples, we detected at least one pathogen in 50% of the samples. The main ones were rhinovirus (54.38%), influenza A(H3N2) (22.80%), and respiratory syncytial virus (RSV) (14.04%). The clinical characteristics were sore throat (70.18%), cough (58.48%), nasal congestion (56.43%), and fever (40.06%). Only 41.46% and 48.78% of patients with influenza met the definition of influenza-like illness (ILI) by the World Health Organization (WHO) (characterized by cough and fever) and the Centers for Disease Control and Prevention (CDC) (characterized by fever and cough and sore throat), respectively. A higher prevalence of influenza was associated with ILI by WHO (aPR: 2.331) and ILI by CDC (aPR: 1.892), which was not observed with other respiratory viruses. The clinical characteristic associated with the increased prevalence of rhinovirus was nasal congestion (aPR: 1.84). For patients with ARI and negative PCR results, the leading respiratory pathogens detected were rhinovirus, influenza, and RSV. Less than half of patients with influenza presented ILI, although its presence was specific to the disease.

Socio-economic inequalities in smoking prevalence and involuntary exposure to tobacco smoke in Argentina: Analysis of three cross-sectional nationally representative surveys in 2005, 2009 and 2013

BACKGROUND

Understanding patterns of socio-economic inequalities in tobacco consumption is key to design targeted public health policies for tobacco control. This study examines socio-economic inequalities in smoking and involuntary exposure to tobacco smoke between 2005 and 2013.

METHODS

Data were derived from the Argentine National Risk Factors Surveys, conducted in 2005, 2009, and 2013. Two inequality measures were calculated: the age-adjusted prevalence ratio (PR) and the disparity index (DI). Educational level, household income per consumer unit and employment status were used as proxies for socio-economic status (SES). Generalized linear models were used in the analysis.

RESULTS

Prevalence of smoking decreased from 29.7% to 25.1% between 2005 and 2013, mainly in women (p<0.001). Despite the overall prevalence reduction, socio-economic inequalities in smoking persisted. For both men and women, the DI was moderately high for smoking (14.47%-33.06%) across the three surveys. In men, the PR indicated a higher smoking prevalence for lower educational levels and lower household income throughout the analyzed period. In women, unlike previous years, the 2013 survey showed disparity related to unemployment. Involuntary exposure to tobacco smoke in 2013 was associated with educational level and household income, with lower involuntary exposure among those with higher SES.

CONCLUSIONS

While overall smoking rates have decreased in Argentina, socio-economic disparities related to tobacco smoking persist. Comprehensive tobacco control programs targeted to address these inequalities are essential in developing strategies to reduce health disparities in tobacco-related diseases.