An Action Research for Implementing Nominalization and Academic Writing Strategies in an EFL Composition Class at the National Autonomous University of Honduras
Tesis Materias > Educación Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster Cerrado Inglés This action research aims to enhance an EFL B1 Composition Class group by implementing nominalization and academic writing practices. It begins with a preliminary development diagnosis to evaluate the group's learning requirements and an analysis of present writing techniques and academic writing obstacles. This research topic will be produced utilizing several approaches and a case study. Thirty-five students, ranging in age from 20 to 24, were chosen from the EFL Program's English Composition Class for this study. A more in-depth understanding of the phenomena was acquired by gathering qualitative and quantitative data. The findings of this study were crucial in designing appropriate activities, tools, and material for EFL writing, which is one of the objectives of this EFL writing. One half expressed that they attended this course because it was required, and the other half wanted to learn how to write a paragraph. Only four students (16.7 percent) enjoy the writing course, whereas nine (37.5 percent) desire to improve their writing literacy. Although students have a theoretical understanding of nominalization, nominalization still dominates the texts due to L1 effects, highlighting its centrality in this discourse. They appear to be aware of the survey's themes; nevertheless, some students always voice their dissatisfaction, and it is at this point that we must explore the cause of these replies and offer alternative remedies is evident that the students know the concept of nominalization; however, this becomes contradictory because it was the observer in some of the exercises, and they are still confused about when and how to use it. metadata Molina Nuñez, Gerardo Antonio mail gerardo.molina@unah.edu.hn (2022) An Action Research for Implementing Nominalization and Academic Writing Strategies in an EFL Composition Class at the National Autonomous University of Honduras. Masters thesis, SIN ESPECIFICAR.
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This action research aims to enhance an EFL B1 Composition Class group by implementing nominalization and academic writing practices. It begins with a preliminary development diagnosis to evaluate the group's learning requirements and an analysis of present writing techniques and academic writing obstacles. This research topic will be produced utilizing several approaches and a case study. Thirty-five students, ranging in age from 20 to 24, were chosen from the EFL Program's English Composition Class for this study. A more in-depth understanding of the phenomena was acquired by gathering qualitative and quantitative data. The findings of this study were crucial in designing appropriate activities, tools, and material for EFL writing, which is one of the objectives of this EFL writing. One half expressed that they attended this course because it was required, and the other half wanted to learn how to write a paragraph. Only four students (16.7 percent) enjoy the writing course, whereas nine (37.5 percent) desire to improve their writing literacy. Although students have a theoretical understanding of nominalization, nominalization still dominates the texts due to L1 effects, highlighting its centrality in this discourse. They appear to be aware of the survey's themes; nevertheless, some students always voice their dissatisfaction, and it is at this point that we must explore the cause of these replies and offer alternative remedies is evident that the students know the concept of nominalization; however, this becomes contradictory because it was the observer in some of the exercises, and they are still confused about when and how to use it.
| Tipo de Documento: | Tesis (Masters) |
|---|---|
| Palabras Clave: | Academic Writing, Nominalization, Writing Strategies |
| Clasificación temática: | Materias > Educación |
| Divisiones: | Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster |
| Depositado: | 10 Nov 2023 23:30 |
| Ultima Modificación: | 10 Nov 2023 23:30 |
| URI: | https://repositorio.uneatlantico.es/id/eprint/1942 |
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Enzymatic treatment shapes in vitro digestion pattern of phenolic compounds in mulberry juice
The health benefits of mulberry fruit are closely associated with its phenolic compounds. However, the effects of enzymatic treatments on the digestion patterns of these compounds in mulberry juice remain largely unknown. This study investigated the impact of pectinase (PE), pectin lyase (PL), and cellulase (CE) on the release of phenolic compounds in whole mulberry juice. The digestion patterns were further evaluated using an in vitro simulated digestion model. The results revealed that PE significantly increased chlorogenic acid content by 77.8 %, PL enhanced cyanidin-3-O-glucoside by 20.5 %, and CE boosted quercetin by 44.5 %. Following in vitro digestion, the phenolic compound levels decreased differently depending on the treatment, while cyanidin-3-O-rutinoside content increased across all groups. In conclusion, the selected enzymes effectively promoted the release of phenolic compounds in mulberry juice. However, during gastrointestinal digestion, the degradation of phenolic compounds surpassed their enhanced release, with effects varying based on the compound's structure.
Peihuan Luo mail , Jian Ai mail , Qiongyao Wang mail , Yihang Lou mail , Zhiwei Liao mail , Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es, Elwira Sieniawska mail , Weibin Bai mail , Lingmin Tian mail ,
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Background Before the incorporation of enfortumab vedotin with pembrolizumab, the standard of care for patients with locally advanced or metastatic urothelial carcinoma who do not progress after platinum-based chemotherapy was avelumab maintenance therapy, as demonstrated by the JAVELIN 100 trial. However, real-world European data remain scarce. Patients and Methods AVEBLADDER is a retrospective study conducted at 14 hospitals in Northern Spain, including patients with locally advanced or metastatic urothelial carcinoma diagnosed between January 2021 and June 2023. Outcomes of overall survival (OS) and progression-free survival (PFS) were analyzed for patients treated with platinum-based chemotherapy, with and without subsequent avelumab maintenance therapy. non-avelumab patients. Median PFS was 11.33 months (95% CI: 10–13.6) with avelumab and 6.43 months (95% CI: 6–7.6) without. One-year OS probabilities were 81.6% vs. 45.6% (p < 0.001) in the avelumab and non-avelumab groups, respectively. No unexpected toxicities were reported. Conclusions Despite proven survival benefits, avelumab uptake in real-world practice is limited by barriers like access, reimbursement, and awareness. These findings align with JAVELIN 100 and underscore the need for further real-world studies to address treatment disparities.
Marta Sotelo mail , Mireia Peláez mail mireia.pelaez@uneatlantico.es, Laura Basterretxea mail , Estrella Varga mail , Ricardo Sánchez-Escribano mail , Eduardo Pujol Obis mail , Carmen Santander mail , Mireia Martínez Kareaga mail , Mikel Arruti Ibarbia mail , Inmaculada Rodríguez Ledesma mail , Carlos Álvarez Fernández mail , Pablo Piedra mail , Verónica Calderero Aragón mail , Nuria Lainez mail , Juan Antonio Verdún Aguilar mail , Irene Gil Arnáiz mail , Ricardo Fernández mail , Cristina Mazas Pérez-Oleaga mail cristina.mazas@uneatlantico.es, Ignacio Duran mail ,
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Inna Alexeeva-Alexeev mail inna.alexeeva@uneatlantico.es, Ana Kaminska mail , Cristina Mazas Pérez-Oleaga mail cristina.mazas@uneatlantico.es, Sorin Gabriel Anton mail ,
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A novel machine learning-based proposal for early prediction of endometriosis disease
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Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis
The proliferation of damaging content on social media in today’s digital environment has increased the need for efficient hate speech identification systems. A thorough examination of hate speech detection methods in a variety of settings, such as code-mixed, multilingual, visual, audio, and textual scenarios, is presented in this paper. Unlike previous research focusing on single modalities, our study thoroughly examines hate speech identification across multiple forms. We classify the numerous types of hate speech, showing how it appears on different platforms and emphasizing the unique difficulties in multi-modal and multilingual settings. We fill research gaps by assessing a variety of methods, including deep learning, machine learning, and natural language processing, especially for complicated data like code-mixed and cross-lingual text. Additionally, we offer key technique comparisons, suggesting future research avenues that prioritize multi-modal analysis and ethical data handling, while acknowledging its benefits and drawbacks. This study attempts to promote scholarly research and real-world applications on social media platforms by acting as an essential resource for improving hate speech identification across various data sources.
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