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Where a licence is displayed above, please note the terms and conditions of the licence govern your use of this document. When citing, please reference the published version. Take down policy While the University of Birmingham exercises care and attention in making items available there are rare occasions when an item has been uploaded in error or has been deemed to be commercially or otherwise sensitive.

Objective To compare QuantiFERON-TB Gold-in-Tube (QFT) and tuberculin skin test (TST) in the diagnosis of latent tuberculosis infection (LTBI) among people living with HIV (PLWHIV). Methods A cross-sectional study was carried out between 2017–2018. Tuberculin skin test and QFT were performed and their concordance was measured. The gold standard for LTBI was defined as positivity to any of the tests. A logistic regression model was carried out to predict the QFT result in patients with a negative TST. Results A total of 510 PLWHIV were included, with 409 (80.2%) being male. The mean age of the patients was 41.3 ± 11.8 years. The median time since HIV diagnosis was 5 years (IQR 2–10), with a median CD4+ count of 541 (IQR 340–757) cells/mm3. Overall, 20 patients had an isolated TST+, 22 an isolated QFT+ and 15 had both positive. Concordance between tests showed a kappa coefficient of .37. Overcrowding was the only predictor for a positive QFT after a negative TST ( p = .003). Conclusion There was fair agreement between tests in PLWHIV. In conditions of limited access to QTF, a TST-based strategy could be considered, with sequential use of QTF in high-risk patients with a negative result, especially those who live in overcrowded conditions.

E-commerce has grown considerably in Latin America in recent years due to the COVID-19 pandemic. E-commerce users in English-speaking and Chinese-speaking countries have web-based tools to compare the prices of products offered by various retailers. The task of product comparison is known as entity matching in the data-science domain. This paper proposes the first entity-matching system for product comparison in Spanish-speaking e-commerce. Given the lack of uniformity of e-commerce sites in Mexico, we opted for a bimodal entity-matching system that uses the image and textual description of products from two of the largest e-commerce stores in Mexico. State-of-the-art techniques in natural language processing and machine learning were used to develop this research. The resulting system achieves F1 values of approximately 80%, representing a significant step towards consolidating a product-matching system in Spanish-speaking e-commerce.

Para llevar a cabo este análisis, se hace referencia a la influencia que tienen el capital familiar y el capital escolar en los estudiantes sobre el éxito en los estudios universitarios. El propósito de esta investigación es analizar si el Exani-II proporciona información sobre el potencial para realizar estudios de tipo superior de los aspirantes provenientes de contextos socioculturalmente vulnerables. Se realizaron un total de cinco análisis estadísticos distintos. Se obtuvieron siete grupos de estudiantes con características socioeconómicas distintas. No hay diferencias significativas entre los siete grupos de estudiantes en el rendimiento académico de bachillerato y licenciatura, pero sí en el Exani-II. El Exani-II no está proporcionando información sobre el potencial para realizar estudios de tipo superior en los aspirantes provenientes de contextos socioculturalmente vulnerables.