http://hdl.handle.net/11624/144 Sat, 18 Jul 2026 10:18:32 GMT 2026-07-18T10:18:32Z http://hdl.handle.net/11624/4310 Title: No eco dos corredores da escola : a leitura - um estudo e uma prática sobre a mediação em leitura na Educação Básica. Authors: Fregapani, Letícia da Rosa Abstract: La presente tesis investiga las implicaciones pedagógicas de la afirmación de que la lectura es parte integrante de los diversos componentes que forman la grade curricular de la Educación Básica, buscando comprender en que grado el momento de formación continuada ha sido visto como oportunidad para que esa integración ocurra, sea vivida y comprendida en la escuela. La E.E.E.M. Pedro Rosa es nuestra compañera en esta investigación, que se constituyó como una investigación-acción, puesto que partimos de una demanda real de la escuela por la reflexión respeto a la lectura. Nuestras acciones en campo se caracterizaron a través de la realización de 8 encuentros para leer junto con los profesores - tanto para fruición, como para estudios teóricos - ; la aplicación de cuestionarios en el inicio y al término del período de realización de la investigación; y el planeamiento de actividades de promoción de la lectura en la escuela. En la confluencia de esas acciones, terminamos por intervenir en la biblioteca de la institución, una vez que la comprendemos como un espacio esencial en la temática da formación de lectores. Partimos de una mirada fenomenológica, atenta al fenómeno de la lectura y encontramos, en nuestro aporte teórico, diferentes voces que nos ayudan en esa escucha. Con Jorge Larrosa (2018) y Graciela Montes (2020), nos volvemos para la experiencia y el enigma que son la lectura. A partir de lo que desarrolló Antonio Nóvoa (2023), nos direccionamos para el hacer del profesor y la idea de una formación continuada. René Barbier (2007) nos ayuda en las definiciones de que puede ser una investigación-acción. Michèle Petit (2024), Teresa Colomer (2007) y Ana Maria Machado (2011) nos acompañan en la reflexión respecto la formación de lectores, que nos lleva al concepto de ecosistema mediador presentado por Felipe Munita (2024). También hacemos una consulta extensa a documentos de la educación nacional, como la Base Nacional Comum Curricular (BNCC), la BNC – Formação Continuada, el Censo Escolar y los resultados del Sistema de Avaliação da Educação Básica (SAEB). Al fin, comprendemos: la formación continuada como momento bastante proficuo para la discusión cerca de la lectura en la escuela, implicando en cuestionamientos sobre el “yo lector” y el “yo mediador”; la biblioteca como espacio clave para el desarrollo de actividades de fomento a la lectura en la escuela; las acciones direccionadas a la lectura vinculadas a la necesidad de una mirada longitudinal, tanto en cuestiones espaciales, cuanto temporales y, finalmente, la potencia existente en el encuentro de los profesionales de la educación con sus pares y el conjunto de la comunidad escolar. Percibimos, por fin, que los puntos de reflexión esenciales para pensar la formación de lectores en la escuela son los estudiantes, la unión entre profesores y funcionarios, la biblioteca y el planeamiento, y ellos, por consiguiente, vienen a ser aquellos que descubrimos fundantes de un ecosistema lector en la escuela, responsables por hacer con que la lectura resuene por sus pasillos. Thu, 01 Jan 2026 00:00:00 GMT http://hdl.handle.net/11624/4310 2026-01-01T00:00:00Z http://hdl.handle.net/11624/4309 Title: Sistema anonimizado de dados a partir de prontuários de saúde. Authors: Martini, Patrick Luiz Abstract: The increasing digitalization of healthcare services and the adoption of electronic health records by healthcare institutions have generated a significant volume of clinical data, representing a valuable resource for academic research and the advancement of evidence-based medicine. The enactment of the General Data Protection Law (GDPL) established a fundamental regulatory framework for protecting citizens' privacy, setting guidelines for the processing of sensitive personal data, including health-related information. In this scenario, it is essential to develop technological solutions that allow for the secondary use of clinical data for research purposes while ensuring full compliance with the data protection principles established by legislation. In this context, this study aims to develop a system for the anonymization of health records, enabling their safe and regulated use in academic research in compliance with the LGPD. The adopted methodology combined a systematic literature review, following the PRISMA method, with the implementation of a system based on Large Language Models (LLMs) and Natural Language Processing (NLP) techniques. The selection of the language model considered requirements for Portuguese language support, data privacy, and local processing capacity, resulting in the adoption of the Gemma 3 4B model. The system implements a two-stage anonymization pipeline, using Named Entity Recognition (NER) techniques to identify and suppress five categories of personal identifiers present in medical records: personal names, ages, service dates, geographic locations, and organizations. For structured data, deterministic encryption (BLAKE2b) is applied for the pseudonymization of identifiers and date transformation, preserving temporal relationships and data consistency. Additionally, an LGPD-based audit prompt acts as a verification layer to mitigate false negatives. The result is an anonymized database that protects patient privacy while preserving data utility for academic analysis, contributing to the advancement of healthcare research by facilitating the secure sharing of information between institutions and researchers. Thu, 01 Jan 2026 00:00:00 GMT http://hdl.handle.net/11624/4309 2026-01-01T00:00:00Z http://hdl.handle.net/11624/4308 Title: Utilização do FRASS de larvas da Black Soldier Fly (Hermetia Illucens L.) como alternativa sustentável na produção de tabaco (Nicotiana Tabacum L.). Authors: Tomazi, Mariana Thu, 01 Jan 2026 00:00:00 GMT http://hdl.handle.net/11624/4308 2026-01-01T00:00:00Z http://hdl.handle.net/11624/4307 Title: Proposta de um modelo de detecção de tuberculose por emissão de plasma em ar pulmonar. Authors: Gündel, Mateus Elias Abstract: Tuberculosis (TB) remains a major global public-health concern, with approximately 10.8 million incident cases and 1.25 million deaths reported in 2023 (World Health Organization, 2024), and disproportionately high incidence in vulnerable populations. Conventional diagnostic methods (smear microscopy, microbiological culture, and molecular tests such as GeneXpert MTB/RIF) rely on laboratory infrastructure that limits their access in low-resource settings. This dissertation investigates the feasibility of a machine-learning model for TB screening based on plasma emission images generated by the BDEE-Device (Breath Diagnostic Electronic Eye Device), a portable instrument that produces microplasma from exhaled pulmonary breath and captures its optical emission as a digital image. The work is organized in the Scandinavian (article-based) format and comprises two papers. Paper I, a systematic review conducted under the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol covering studies published between 2019 and 2024, identified six relevant works whose performance varies widely (sensitivities between 0.52 and 1.00) for technologies such as comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry (GC×GC-TOFMS) and electronic noses combined with algorithms such as Random Forest and support vector machines (SVM); none of the reviewed studies, however, combine plasma emission, image capture, and computer vision-based classification for TB detection, defining the gap that motivates the second paper. Paper II proposes and experimentally evaluates a classification approach on the PEVA dataset (2,154 images from 60 patients; 7 positive, 53 negative), comparing classical classifiers with traditional visual descriptors and three convolutional neural network (CNN) architectures with transfer learning, under stratified cross-validation with strict patient-wise split and a hold-out test set. MobileNetV2 achieved the best performance in cross-validation (area under the ROC curve, AUC = 0.911 ± 0.166) and on the hold-out test set (AUC = 0.873; 95% confidence interval [0.820; 0.915]), with limited sensitivity (0.150). Gradient-weighted Class Activation Mapping (Grad-CAM) interpretability analysis revealed evidence of shortcut learning, and the complementary blob cropping experiment doubled test sensitivity (to 0.300) without degrading AUC. Adomain shift analysis between versions 1.0 and 2.0 of the device revealed a severe drop in performance, suggesting that part of the learned patterns may be instrumental. The reported metrics must be interpreted with caution given the high statistical variance associated with the small number of positive patients (n=7), which reinforces the proof-of-concept nature of this work. The results demonstrate the technical feasibility of this modality as a proof of concept for point-of-care TB screening and point, as central directions, to dataset expansion, prospective multicenter validation, and the investigation of domain-adaptation techniques. Thu, 01 Jan 2026 00:00:00 GMT http://hdl.handle.net/11624/4307 2026-01-01T00:00:00Z