Percepción de las competencias en las Prácticas Profesionalizantes y la inserción laboral del Técnico Superior en Redacción de Textos del Instituto Eduardo Mallea
Thesis Subjects > Teaching Ibero-american International University > Research > Doctoral Thesis Cerrado Español La investigación tiene por objetivo analizar la percepción que poseen los redac-tores de textos, egresados del Instituto Superior de Letras Eduardo Mallea, ISLEM, Argentina, en relación con las competencias adquiridas en las prácticas profesionalizantes en concordancia con los requerimientos del acceso al em-pleo. El trabajo se inscribe en la Línea de Investigación Competencia Laboral, Educación y Empleo de la Universidad Internacional Iberoamericana, UNINI, México, se basó en los aportes del enfoque de la socioformación, expuesto en Tobón (2012); Tobón, Pimienta y García Fraile (2010) y Garbanzo-Vargas (2016), referido a la metodología sistémica de una organización. La hipótesis enfrentó las dos variables: a) percepción de los redactores egresados respecto de sus competencias adquiridas en las prácticas profesionalizantes y b) reque-rimientos de los empleadores, a fin de averiguar si sus competencias respon-dían a lo que el mercado laboral espera de su accionar. La Metodología se en-focó en un estudio de campo, no experimental y transversal, correlacional, cuantitativo, donde se buscaron relaciones para verificar la hipótesis planteada. Se aplicó un cuestionario que recogió la información acerca de las variables citadas. La población estuvo constituida por la totalidad de egresados de las promociones de la tecnicatura del ISLEM, representada por 51 (cincuenta y un) técnicos en redacción de textos con experiencia en el área. No hubo selección de muestra, se realizó tipo censo poblacional. En los resultados, se obtuvieron relaciones entre los dos tipos de percepciones de los egresados, lo cual indica que las competencias logradas durante las prácticas profesionalizantes se co-rresponden con las exigidas para la inserción laboral. Para finalizar se realizó la propuesta, donde se planteó como objetivo general el diseño de un programa de formación continua de competencias ajustadas a los cambios detectados en el trabajo, e indispensables para la inserción laboral del egresado redactor de textos del ISLEM. metadata Mundet, Lina Beatriz mail mundet.lina@gmail.com (2021) Percepción de las competencias en las Prácticas Profesionalizantes y la inserción laboral del Técnico Superior en Redacción de Textos del Instituto Eduardo Mallea. Doctoral thesis, UNSPECIFIED.
Full text not available from this repository.Abstract
La investigación tiene por objetivo analizar la percepción que poseen los redac-tores de textos, egresados del Instituto Superior de Letras Eduardo Mallea, ISLEM, Argentina, en relación con las competencias adquiridas en las prácticas profesionalizantes en concordancia con los requerimientos del acceso al em-pleo. El trabajo se inscribe en la Línea de Investigación Competencia Laboral, Educación y Empleo de la Universidad Internacional Iberoamericana, UNINI, México, se basó en los aportes del enfoque de la socioformación, expuesto en Tobón (2012); Tobón, Pimienta y García Fraile (2010) y Garbanzo-Vargas (2016), referido a la metodología sistémica de una organización. La hipótesis enfrentó las dos variables: a) percepción de los redactores egresados respecto de sus competencias adquiridas en las prácticas profesionalizantes y b) reque-rimientos de los empleadores, a fin de averiguar si sus competencias respon-dían a lo que el mercado laboral espera de su accionar. La Metodología se en-focó en un estudio de campo, no experimental y transversal, correlacional, cuantitativo, donde se buscaron relaciones para verificar la hipótesis planteada. Se aplicó un cuestionario que recogió la información acerca de las variables citadas. La población estuvo constituida por la totalidad de egresados de las promociones de la tecnicatura del ISLEM, representada por 51 (cincuenta y un) técnicos en redacción de textos con experiencia en el área. No hubo selección de muestra, se realizó tipo censo poblacional. En los resultados, se obtuvieron relaciones entre los dos tipos de percepciones de los egresados, lo cual indica que las competencias logradas durante las prácticas profesionalizantes se co-rresponden con las exigidas para la inserción laboral. Para finalizar se realizó la propuesta, donde se planteó como objetivo general el diseño de un programa de formación continua de competencias ajustadas a los cambios detectados en el trabajo, e indispensables para la inserción laboral del egresado redactor de textos del ISLEM.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | competencias, redactor de textos, educación y empleo, prácticas profesionalizantes, inserción laboral. |
| Subjects: | Subjects > Teaching |
| Divisions: | Ibero-american International University > Research > Doctoral Thesis |
| Date Deposited: | 22 Sep 2023 23:30 |
| Last Modified: | 22 Sep 2023 23:30 |
| URI: | https://repositorio.unini.edu.mx/id/eprint/1305 |
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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.
Hafiz Muhammad Raza Ur Rehman mail , Mahpara Saleem mail , Muhammad Zeeshan Jhandir mail , Eduardo René Silva Alvarado mail eduardo.silva@funiber.org, Helena Garay mail helena.garay@uneatlantico.es, Imran Ashraf mail ,
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Accurate solar and photovoltaic (PV) power forecasting is essential for optimizing grid integration, managing energy storage, and maximizing the efficiency of solar power systems. Deep learning (DL) models have shown promise in this area due to their ability to learn complex, non-linear relationships within large datasets. This study presents a systematic literature review (SLR) of deep learning applications for solar PV forecasting, addressing a gap in the existing literature, which often focuses on traditional ML or broader renewable energy applications. This review specifically aims to identify the DL architectures employed, preprocessing and feature engineering techniques used, the input features leveraged, evaluation metrics applied, and the persistent challenges in this field. Through a rigorous analysis of 26 selected papers from an initial set of 155 articles retrieved from the Web of Science database, we found that Long Short-Term Memory (LSTM) networks were the most frequently used algorithm (appearing in 32.69% of the papers), closely followed by Convolutional Neural Networks (CNNs) at 28.85%. Furthermore, Wavelet Transform (WT) was found to be the most prominent data decomposition technique, while Pearson Correlation was the most used for feature selection. We also found that ambient temperature, pressure, and humidity are the most common input features. Our systematic evaluation provides critical insights into state-of-the-art DL-based solar forecasting and identifies key areas for upcoming research. Future research should prioritize the development of more robust and interpretable models, as well as explore the integration of multi-source data to further enhance forecasting accuracy. Such advancements are crucial for the effective integration of solar energy into future power grids.
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Measurement of chest muscle mass in COVID-19 patients on mechanical ventilation using tomography
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Llobera
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Alzheimer's disease (AD) involves β-amyloid plaques and tau hyperphosphorylation, driven by oxidative stress and neuroinflammation. Cyclooxygenase-2 (COX-2) and acetylcholinesterase (AChE) activities exacerbate AD pathology. Olive leaf (OL) extracts, rich in bioactive compounds, offer potential therapeutic benefits. This study aimed to assess the anti-inflammatory, anti-cholinergic, and antioxidant effects of three OL extracts (low, mid, and high bioactive content) in vitro and their protective effects against AD-related proteinopathies in Caenorhabditis elegans models. OL extracts were characterized for phenolic composition, AChE and COX-2 inhibition, as well as antioxidant capacity. Their effects on intracellular and mitochondrial reactive oxygen species (ROS) were tested in C. elegans models expressing human Aβ and tau proteins. Gene expression analyses examined transcription factors (DAF-16, skinhead [SKN]-1) and their targets (superoxide dismutase [SOD]-2, SOD-3, GST-4, and heat shock protein [HSP]-16.2). High-OL extract demonstrated superior AChE and COX-2 inhibition and antioxidant capacity. Low- and high-OL extracts reduced Aβ aggregation, ROS levels, and proteotoxicity via SKN-1/NRF-2 and DAF-16/FOXO pathways, whereas mid-OL showed moderate effects through proteostasis modulation. In tau models, low- and high-OL extracts mitigated mitochondrial ROS levels via SOD-2 but had limited effects on intracellular ROS levels. High-OL extract also increased GST-4 levels, whereas low and mid extracts enhanced GST-4 levels. OL extracts protect against AD-related proteinopathies by modulating oxidative stress, inflammation, and proteostasis. High-OL extract showed the most promise for nutraceutical development due to its robust phenolic profile and activation of key antioxidant pathways. Further research is needed to confirm long-term efficacy.
Jose M. Romero‐Marquez mail , María D. Navarro‐Hortal mail , Alfonso Varela‐López mail , Rubén Calderón Iglesias mail ruben.calderon@uneatlantico.es, Juan G. Puentes mail , Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es, Cristina Sánchez‐González mail , Jianbo Xiao mail , Roberto García‐Ruiz mail , Sebastián Sánchez mail , Tamara Y. Forbes‐Hernández mail , José L. Quiles mail jose.quiles@uneatlantico.es,
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Garlic is a horticultural product highly valued for its culinary and medicinal attributes. The aim of this study was to evaluate the composition of a garlic hydrophilic extract as well as the influence on redox biology, Alzheimer's Disease (AD) markers and aging, using Caenorhabditis elegans as experimental model. The extract was rich in sulfur compounds, highlighting the presence of other compounds like phenolics, and the antioxidant property was corroborated. Regarding AD markers, the acetylcholinesterase inhibitory capacity was demonstrated in vitro. Although the extract did not modify the amyloid β-induced paralysis degree, it was able to improve, in a dose-dependent manner, some locomotive parameters affected by the hyperphosphorylated tau protein in C. elegans. It could be related to the effect found on GFP-transgenic stains, mainly regarding to the increase in the gene expression of HSP-16.2. Moreover, an initial investigation into the aging process revealed that the extract successfully inhibited the accumulation of intracellular and mitochondrial reactive oxygen species in aged worms. These results provide valuable insights into the multifaceted impact of garlic extract, particularly in the context of aging and neurodegenerative processes. This study lays a foundation for further research avenues exploring the intricate molecular mechanisms underlying garlic effects and its translation into potential therapeutic interventions for age-related neurodegenerative conditions.
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