La sucesión como trasmisión intergeneracional de las empresas familiares en Cumbayá –Ecuador y su protocolo
Thesis
Subjects > Social Sciences
Subjects > Teaching
Ibero-american International University > Research > Doctoral Thesis
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A nivel mundial, el crecimiento de las empresas familiares, se ha convertido en un eje importante en el desarrollo de un país. Sin embargo, no existen parámetros legales claros sobre la trasferencia de esta sucesión sea por mortis causa, incorporación de nuevos integrantes y/o por cambio por edad de sus miembros, etc.…, surgiendo, la problemática de esta investigación; que afecta a la estructura empresarial familiar al no considerar una planificación sucesoria, que permitiría determinar la elección del sucesor, involucramiento, capacitación y profesionalización, que se debe establecer en estos tipos de empresas. La sucesión, por causa de muerte, se puede producir en cualquier momento, provocando una inestabilidad que necesita ser consolidada en un proceso; cambios que se podrían planificar de manera estructural, administrativa, operacional y legal que permitirían mantener a las empresas familiares su continuidad en el tiempo. Asumiendo características propias y organizativas que se relacionan con la propiedad, el control, la sucesión y continuidad que se encuentran concentradas en los miembros familiares sean por línea consanguínea o de afinidad, siendo un sistema complejo en la toma de decisiones que fortalecen o debilitan el desarrollo familiar, patrimonial y de la empresa. Teniendo solo una legislación societaria, sobre los tipos de empresas y su entorno legal sobre este cumplimiento de acuerdo al Ecuador, sin que se defina qué son las empresas familiares, su trascendencia, prolongación y desarrollo legal que permita su sostenibilidad, así como su transmisibilidad por generaciones, forja una importancia e interés social. El crecimiento de fuentes de trabajo y siendo parte de la economía del país, así como el sustento del núcleo familiar y empresarial a la vez, es donde surge la necesidad de diseñar un protocolo que permita que las empresas familiares puedan realizar la transmisión jurídicamente adecuada a las nuevas generaciones y delimitando los órganos de gobierno en este proceso, siendo un aporte científico dentro del derecho empresarial ecuatoriano.
metadata
Duarte Estévez, Cecilia Elizabeth
mail
cecilia.duarte@doctorado.unini.edu.mx
(2024)
La sucesión como trasmisión intergeneracional de las empresas familiares en Cumbayá –Ecuador y su protocolo.
Doctoral thesis, Universidad Internacional Iberoamericana México.
Abstract
A nivel mundial, el crecimiento de las empresas familiares, se ha convertido en un eje importante en el desarrollo de un país. Sin embargo, no existen parámetros legales claros sobre la trasferencia de esta sucesión sea por mortis causa, incorporación de nuevos integrantes y/o por cambio por edad de sus miembros, etc.…, surgiendo, la problemática de esta investigación; que afecta a la estructura empresarial familiar al no considerar una planificación sucesoria, que permitiría determinar la elección del sucesor, involucramiento, capacitación y profesionalización, que se debe establecer en estos tipos de empresas. La sucesión, por causa de muerte, se puede producir en cualquier momento, provocando una inestabilidad que necesita ser consolidada en un proceso; cambios que se podrían planificar de manera estructural, administrativa, operacional y legal que permitirían mantener a las empresas familiares su continuidad en el tiempo. Asumiendo características propias y organizativas que se relacionan con la propiedad, el control, la sucesión y continuidad que se encuentran concentradas en los miembros familiares sean por línea consanguínea o de afinidad, siendo un sistema complejo en la toma de decisiones que fortalecen o debilitan el desarrollo familiar, patrimonial y de la empresa. Teniendo solo una legislación societaria, sobre los tipos de empresas y su entorno legal sobre este cumplimiento de acuerdo al Ecuador, sin que se defina qué son las empresas familiares, su trascendencia, prolongación y desarrollo legal que permita su sostenibilidad, así como su transmisibilidad por generaciones, forja una importancia e interés social. El crecimiento de fuentes de trabajo y siendo parte de la economía del país, así como el sustento del núcleo familiar y empresarial a la vez, es donde surge la necesidad de diseñar un protocolo que permita que las empresas familiares puedan realizar la transmisión jurídicamente adecuada a las nuevas generaciones y delimitando los órganos de gobierno en este proceso, siendo un aporte científico dentro del derecho empresarial ecuatoriano.
Item Type: | Thesis (Doctoral) |
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Uncontrolled Keywords: | Empresa Familiar, Sucesión Intergeneracional, Transición, Causa de Muerte, Normativa Jurídica, Planificación, Protocolo Familiar y Continuidad. |
Subjects: | Subjects > Social Sciences Subjects > Teaching |
Divisions: | Ibero-american International University > Research > Doctoral Thesis |
Date Deposited: | 28 Sep 2023 23:30 |
Last Modified: | 05 Jul 2024 23:30 |
URI: | https://repositorio.unini.edu.mx/id/eprint/6755 |
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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 ,
Raza Ur Rehman
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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,
Romero‐Marquez
<a href="/17570/1/eFood%20-%202025%20-%20Navarro%E2%80%90Hortal%20-%20Effects%20of%20a%20Garlic%20Hydrophilic%20Extract%20Rich%20in%20Sulfur%20Compounds%20on%20Redox%20Biology%20and.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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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.
María D. Navarro‐Hortal mail , Jose M. Romero‐Marquez mail , Johura Ansary mail , Cristina Montalbán‐Hernández mail , Alfonso Varela‐López mail , Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Jianbo Xiao mail , Rubén Calderón Iglesias mail ruben.calderon@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es, Cristina Sánchez‐González mail , Tamara Y. Forbes‐Hernández mail , José L. Quiles mail jose.quiles@uneatlantico.es,
Navarro‐Hortal
<a class="ep_document_link" href="/17572/1/s12909-025-07070-5.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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Background In recent years, medical education has increasingly embraced gamification as a method for teaching clinical skills. In Peru, social isolation resulting from the COVID-19 pandemic forced universities and academic institutions to restructure their teaching methods, while there are no reports about the impact of this strategies in Peruvian students. In this study we evaluated the feasibility and patterns of use of a novel video game based didactic activity in undergraduate students from a School of Medicine in Peru. Method We conducted a retrospective pilot study in medical students who used the Full Code Medical Simulation platform. We retrieved scoring data obtained from this platform for selected cases of clinical courses with an appropriate number of users [clinical medicine (CM) I (7 cases), CM II (17 cases), surgery I (6 cases) and surgery II (6 cases)]. cases)]. We also evaluated patterns of use and the association between academic performance and the Full Code scores. Results A total of 590 students were included in the study. We found a direct correlation between the student’s course grade and Full Code score in all courses (CM I: p < 0.001, CM II: p < 0.05, Surgery I: p < 0.05 and Surgery II: p < 0.05). CM II course students who dedicated more time to completing cases received better grades (p < 0.05). The pattern of use of Full code were similar in students regardless their academic performance. In addition, students with higher academic performance were more likely to have higher scores in the platform (p < 0.001). Conclusion The use of gamification in clinical simulation was highly feasible in students of medicine regardless their academic performance. Prospective and interventional studies are needed to assess if the Full Code platform directly affect the learning outcomes.
Maria Amalia Salafia mail , María Elena Perez-Ochoa mail ,
Salafia
<a class="ep_document_link" href="/17573/1/s41598-025-96332-9.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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Novel hybrid transfer neural network for wheat crop growth stages recognition using field images
Wheat is one of the world’s most widely cultivated cereal crops and is a primary food source for a significant portion of the population. Wheat goes through several distinct developmental phases, and accurately identifying these stages is essential for precision farming. Determining wheat growth stages accurately is crucial for increasing the efficiency of agricultural yield in wheat farming. Preliminary research identified obstacles in distinguishing between these stages, negatively impacting crop yields. To address this, this study introduces an innovative approach, MobDenNet, based on data collection and real-time wheat crop stage recognition. The data collection utilized a diverse image dataset covering seven growth phases ‘Crown Root’, ‘Tillering’, ‘Mid Vegetative’, ‘Booting’, ‘Heading’, ‘Anthesis’, and ‘Milking’, comprising 4496 images. The collected image dataset underwent rigorous preprocessing and advanced data augmentation to refine and minimize biases. This study employed deep and transfer learning models, including MobileNetV2, DenseNet-121, NASNet-Large, InceptionV3, and a convolutional neural network (CNN) for performance comparison. Experimental evaluations demonstrated that the transfer model MobileNetV2 achieved 95% accuracy, DenseNet-121 achieved 94% accuracy, NASNet-Large achieved 76% accuracy, InceptionV3 achieved 74% accuracy, and the CNN achieved 68% accuracy. The proposed novel hybrid approach, MobDenNet, that synergistically merges the architectures of MobileNetV2 and DenseNet-121 neural networks, yields highly accurate results with precision, recall, and an F1 score of 99%. We validated the robustness of the proposed approach using the k-fold cross-validation. The proposed research ensures the detection of growth stages with great promise for boosting agricultural productivity and management practices, empowering farmers to optimize resource distribution and make informed decisions.
Aisha Naseer mail , Madiha Amjad mail , Ali Raza mail , Kashif Munir mail , Aseel Smerat mail , Henry Fabian Gongora mail henry.gongora@uneatlantico.es, Carlos Eduardo Uc Ríos mail carlos.uc@unini.edu.mx, Imran Ashraf mail ,
Naseer