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1. A Conceptual Model for Educating Design Thinking Dispositions

Author

Nguyen Hoang Thuan and Pedro Antunes

Abstract

Design thinking dispositions are essential for students to understand why design thinking knowledge should be applied to perform specific tasks. However, few studies are focused on teaching design thinking dispositions. This study proposes a conceptual model that supports teaching design thinking dispositions to address this gap. The model was instantiated in an undergraduate course. Students' reflections about the course were collected to evaluate the model. The use of the model is also demonstrated by considering different teaching scenarios. This study contributes to better teaching and learning design thinking dispositions based on a unique model that helps educators organize their design thinking courses. The study also derives some implications for educators. While teaching design thinking knowledge and skills is essential, developing students' design thinking dispositions is equally essential.

Published
2024
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3. The Road Less Travelled: Exploring the Reluctance of Vocational Students towards Higher Education in Portugal

Author

Orlanda Tavares, Maria João Antunes, Carla Sá, and Ana Rita Luz

Abstract

Despite rising participation rates in Portugal, a gap persists between general and vocational upper secondary students' transition to higher education (HE). This study employs a qualitative methodology, specifically through content analysis of focus group discussions, to explore the factors influencing vocational students' reluctance towards higher education, amidst specific policies designed to aid their transition. Empirical findings suggest that vocational students may exhibit reservations stemming from self-perceived academic deficiencies, impacting their self-confidence in continuing their education at a HE level. Nevertheless, confidence in market-valued practical skills might motivate HE consideration within a vocational domain. Their practical focus also makes HE seem less immediately applicable in the labour market. Many prioritise integration into the workforce for short-run objectives, seeking breaks, experience and financial earnings. Aiming for earning and practicality, many lean towards the labour market over HE, even considering emigrating to achieve financial stability. The study emphasises the need for Portuguese educational policies to align vocational training with HE, supporting diverse student ambitions and holistic career paths.

Published
2024
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4. Sex Differences in Diagnosis and Treatment Timing of Comorbid Depression/Anxiety and Disease Subtypes in Patients with ADHD: A Database Study

Author

Uzma Siddiqui, Mitchell M. Conover, Erica A. Voss, David M. Kern, Michelle Litvak, and José Antunes

Abstract

Objective: Our study examined the impact of sex, ADHD subtype, and comorbid illnesses (depression/anxiety) on the timing of diagnosis and treatment for ADHD. Method: To analyze ADHD patients, four health databases were used to assess subtype, comorbid mood, and antidepressant or anxiolytic drug exposure. Analyses were stratified by sex and age. Standardized mean differences measured intergroup differences. Results: Females with ADHD were identified at older ages and had higher rates of depression and anxiety diagnoses and treatments before and after their initial ADHD diagnosis. Predominantly inattentive ADHD patients were diagnosed later and more likely to receive mood disorder diagnosis and treatment than hyperactive impulsive ADHD patients. Conclusions: Results suggest a more complex ADHD presentation in females, potentially causing late diagnosis and delayed treatment.

Published
2024
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6. Comprehensive histopathological analysis of gastric cancer in European and Latin America populations reveals differences in PDL1, HER2, p53 and MUC6 expression

Author

Martínez-Ciarpaglini, Carolina, Barros, Rita, Caballero, Carmelo, Boggino, Hugo, Alarcón-Molero, Lorena, Peleteiro, Bárbara, Ruiz-García, Erika, Fernandez-Figueroa, Edith, Herrera-Goepfert, Roberto, Díaz-Romero, Consuelo, Ferreira, Rui, Groen-van Schooten, Tessa S., Gauna, Cinthia, Pereira, Rita, Cantero, Daniel, Lezcano, Horacio, Esteso, Federico, O´Connor, Juan, Riquelme, Arnoldo, Owen, Gareth I., Garrido, Marcelo, Roa, Juan Carlos, Ruiz-Pace, Fiorella, Vivancos, Ana, Diez-García, Marc, Alsina, Maria, Matito, Judit, Martin, Agatha, Gómez, Marina, Castillo, Ester, Vila, Maria, Santos-Antunes, João, Costa, Andreia, Lordick, Florian, Farrés, Judith, Palomar-De Lucas, Brenda, Cabeza-Segura, Manuel, Villagrasa, Rosanna, Jimenez-Martí, Elena, Miralles-Marco, Ana, Dienstmann, Rodrigo, Derks, Sarah, Figueiredo, Ceu, Cervantes, Andrés, Carneiro, Fátima, and Fleitas-Kanonnikoff, Tania

Published
2025
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28. Postbiotic Effect of Escherichia coli CEC15 and Escherichia coli Nissle 1917 on a Murine Model of 5-FU-induced Intestinal Mucositis

Author

de Assis Glória, Rafael, da Silva, Tales Fernando, Gomes, Tomás Andrade Magalhães, Vital, Kátia Duarte, Fernandes, Simone Odília Antunes, Cardoso, Valbert Nascimento, Ferreira, Ênio, Chatel, Jean-Mark, Langella, Philippe, Cherbuy, Claire, Le Loir, Yves, Jan, Gwénaël, Guédon, Éric, and Azevedo, Vasco Ariston de Carvalho

Published
2024
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32. Enhancing orofacial pain relief: α-phellandrene complexed with hydroxypropyl-β-cyclodextrin mitigates orofacial nociception in rodents

Author

Machado, Brennda Gonzaga, Passos, Fabíolla Rocha Santos, Antoniolli, Ângelo Roberto, Menezes Pereira, Erik W., Santos, Tiffany Karoline Barroso, Monteiro, Brenda Souza, de Souza Siqueira Lima, Pollyana, Matos, Saulo Santos, Duarte, Marcelo Cavalcante, de Souza Araújo, Adriano Antunes, da Silva Almeida, Jackson Roberto Guedes, Oliveira Júnior, Raimundo Gonçalves, Coutinho, Henrique Douglas Melo, Quintans-Júnior, Lucindo J., and de Souza Siqueira Quintans, Jullyana

Published
2024
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41. Screening and validating the optimal panel of housekeeping genes for 4T1 breast carcinoma and metastasis studies in mice

Author

Souza, Jorge Lucas Nascimento, Antunes-Porto, Ana Rafaela, da Silva Oliveira, Izabela, Amorim, Chiara Cássia Oliveira, Pires, Luiz Octávio, de Brito Duval, Isabela, Amaral, Luisa Vitor Braga do, Souza, Fernanda Rezende, Oliveira, Evelyn Ane, Cassali, Geovanni Dantas, Cardoso, Valbert Nascimento, Fernandes, Simone Odília Antunes, Fujiwara, Ricardo Toshio, Russo, Remo Castro, and Bueno, Lilian Lacerda

Published
2024
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42. BMP2 rs1005464 is associated with mandibular condyle size variation

Author

Marañón-Vásquez, Guido Artemio, de Souza Araújo, Mônica Tirre, de Oliveira Ruellas, Antônio Carlos, Matsumoto, Mírian Aiko Nakane, Figueiredo, Marcio, Meyfarth, Sandra Regina Santos, Antunes, Lívia Azeredo Alves, Baratto-Filho, Flares, Scariot, Rafaela, Flores-Mir, Carlos, Kirschneck, Christian, Santos Antunes, Leonardo, and Küchler, Erika Calvano

Published
2024
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43. Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts dataset

Author

Abilio, Ramon, Coelho, Guilherme Palermo, and da Silva, Ana Estela Antunes

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, 68T50
Abstract

Since 2018, when the Transformer architecture was introduced, Natural Language Processing has gained significant momentum with pre-trained Transformer-based models that can be fine-tuned for various tasks. Most models are pre-trained on large English corpora, making them less applicable to other languages, such as Brazilian Portuguese. In our research, we identified two models pre-trained in Brazilian Portuguese (BERTimbau and PTT5) and two multilingual models (mBERT and mT5). BERTimbau and mBERT use only the Encoder module, while PTT5 and mT5 use both the Encoder and Decoder. Our study aimed to evaluate their performance on a financial Named Entity Recognition (NER) task and determine the computational requirements for fine-tuning and inference. To this end, we developed the Brazilian Financial NER (BraFiNER) dataset, comprising sentences from Brazilian banks' earnings calls transcripts annotated using a weakly supervised approach. Additionally, we introduced a novel approach that reframes the token classification task as a text generation problem. After fine-tuning the models, we evaluated them using performance and error metrics. Our findings reveal that BERT-based models consistently outperform T5-based models. While the multilingual models exhibit comparable macro F1-scores, BERTimbau demonstrates superior performance over PTT5. In terms of error metrics, BERTimbau outperforms the other models. We also observed that PTT5 and mT5 generated sentences with changes in monetary and percentage values, highlighting the importance of accuracy and consistency in the financial domain. Our findings provide insights into the differing performance of BERT- and T5-based models for the NER task.

Published
2024
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44. Reproducibility, Replicability, and Repeatability: A survey of reproducible research with a focus on high performance computing

Author

Antunes, Benjamin A. and Hill, David R. C.

Subjects
Computer Science - Software Engineering
Abstract

Reproducibility is widely acknowledged as a fundamental principle in scientific research. Currently, the scientific community grapples with numerous challenges associated with reproducibility, often referred to as the ''reproducibility crisis.'' This crisis permeated numerous scientific disciplines. In this study, we examined the factors in scientific practices that might contribute to this lack of reproducibility. Significant focus is placed on the prevalent integration of computation in research, which can sometimes function as a black box in published papers. Our study primarily focuses on highperformance computing (HPC), which presents unique reproducibility challenges. This paper provides a comprehensive review of these concerns and potential solutions. Furthermore, we discuss the critical role of reproducible research in advancing science and identifying persisting issues within the field of HPC.

Published
2024
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