Digital Simulator for Entrepreneurial Finance (FINANCEn_LAB)
Otro Materias > Ciencias Sociales Universidad Europea del Atlántico > Investigación > Proyectos I+D+I Cerrado Inglés The main proposal of this project is to create digital interactive tools that will help the end-beneficiaries (potential and current entrepreneurs) to develop skills and acquire necessary practical knowledge to effectively apply for funding and manage their financial situation. From the general perspective, our project is expected to contribute to the improvement in financial literacy, especially, among HE students, as potential entrepreneurs, through an effective method of learning by doing. The project aims at covering the gap of practical financial competences considered as a critical barrier for entrepreneurship. Possible solution goes through cooperation between financing actors and educational sector. Thus, common training will be complemented with real practice, which includes individual and collaborative work, very different from traditional school assignments, since it will connect funding agents (banking professionals, investors, mentors and similar) with entrepreneurs and students. This DIGITAL LEARNING ENVIRONMENT BASED ON COLLABORATIVE LEARNING with financial agents is the core of our innovative proposal. Besides that, the project will deploy actions to empower HE teachers and entrepreneur coaches. Thus, the project will reach the following segments of people: university students, entrepreneurs, teachers, start-up incubators, financial agents for an estimated total of 840 direct participants and 14600 additional reached online. The main project activities will be oriented to the production of four intellectual outputs: 1) Practical cases in entrepreneurial finance for training purposes. 2) Digital Simulator for entrepreneurial finance (trainer’s tool). 3) Digital Simulator for entrepreneurial finance (self-learning tool). 4) Report on recommendations for entrepreneurial finance stakeholders and policy makers. The project implies cooperation of different type of organizations. The HE institutions and Banking/Financial sector will collaborate closely to ensure that we use appropriate content. Representative institutions will incorporate the tools into their trainings and will disseminate the project results properly. Entrepreneurial institutions will support the outputs creation attracting the attention of practitioners and professionals in the entrepreneurial field. The project pursues long term impact by providing HE lecturers, VET/adult training providers and Entrepreneurial institutions with innovative tools in order to spread the practical knowledge on entrepreneurial funding. It is of special interest to raise awareness on the different alternative sources of funding besides the traditional bank loans, such as crowdfunding, business angels, capital venture and so on, and offer current and future entrepreneurs practical training since it will also generate significant impact measured over time. metadata , FUNIBER mail SIN ESPECIFICAR (2020) Digital Simulator for Entrepreneurial Finance (FINANCEn_LAB). Repositorio de la Universidad. (Inédito)
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The main proposal of this project is to create digital interactive tools that will help the end-beneficiaries (potential and current entrepreneurs) to develop skills and acquire necessary practical knowledge to effectively apply for funding and manage their financial situation. From the general perspective, our project is expected to contribute to the improvement in financial literacy, especially, among HE students, as potential entrepreneurs, through an effective method of learning by doing. The project aims at covering the gap of practical financial competences considered as a critical barrier for entrepreneurship. Possible solution goes through cooperation between financing actors and educational sector. Thus, common training will be complemented with real practice, which includes individual and collaborative work, very different from traditional school assignments, since it will connect funding agents (banking professionals, investors, mentors and similar) with entrepreneurs and students. This DIGITAL LEARNING ENVIRONMENT BASED ON COLLABORATIVE LEARNING with financial agents is the core of our innovative proposal. Besides that, the project will deploy actions to empower HE teachers and entrepreneur coaches. Thus, the project will reach the following segments of people: university students, entrepreneurs, teachers, start-up incubators, financial agents for an estimated total of 840 direct participants and 14600 additional reached online. The main project activities will be oriented to the production of four intellectual outputs: 1) Practical cases in entrepreneurial finance for training purposes. 2) Digital Simulator for entrepreneurial finance (trainer’s tool). 3) Digital Simulator for entrepreneurial finance (self-learning tool). 4) Report on recommendations for entrepreneurial finance stakeholders and policy makers. The project implies cooperation of different type of organizations. The HE institutions and Banking/Financial sector will collaborate closely to ensure that we use appropriate content. Representative institutions will incorporate the tools into their trainings and will disseminate the project results properly. Entrepreneurial institutions will support the outputs creation attracting the attention of practitioners and professionals in the entrepreneurial field. The project pursues long term impact by providing HE lecturers, VET/adult training providers and Entrepreneurial institutions with innovative tools in order to spread the practical knowledge on entrepreneurial funding. It is of special interest to raise awareness on the different alternative sources of funding besides the traditional bank loans, such as crowdfunding, business angels, capital venture and so on, and offer current and future entrepreneurs practical training since it will also generate significant impact measured over time.
| Tipo de Documento: | Otro |
|---|---|
| Palabras Clave: | emprendedores, simulador, financiación, finanzas, practicas, plataforma digital |
| Clasificación temática: | Materias > Ciencias Sociales |
| Divisiones: | Universidad Europea del Atlántico > Investigación > Proyectos I+D+I |
| Depositado: | 07 Sep 2022 23:30 |
| Ultima Modificación: | 17 Oct 2024 23:30 |
| URI: | https://repositorio.uneatlantico.es/id/eprint/3522 |
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Josep Alemany Iturriaga mail josep.alemany@uneatlantico.es, Álvaro Velarde-Sotres mail alvaro.velarde@uneatlantico.es, Javier Jorge mail , Kamil Giglio mail ,
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Plant stress reduction research has advanced significantly with the use of Artificial Intelligence (AI) techniques, such as machine learning and deep learning. This is a significant step toward sustainable agriculture. Innovative insights into the physiological responses of plants mostly crops to drought stress have been revealed through the use of complex algorithms like gradient boosting, support vector machines (SVM), recurrent neural network (RNN), and long short-term memory (LSTM), combined with a thorough examination of the TYRKC and RBR-E3 domains in stress-associated signaling proteins across a range of crop species. Modern resources were used in this study, including the UniProt protein database for crop physiochemical properties associated with specific signaling domains and the SMART database for signaling protein domains. These insights were then applied to deep learning and machine learning techniques after careful data processing. The rigorous metric evaluations and ablation analysis that typified the study’s approach highlighted the algorithms’ effectiveness and dependability in recognizing and classifying stress events. Notably, the accuracy of SVM was 82%, while gradient boosting and RNN showed 96%, and 94%, respectively and LSTM obtained an astounding 97% accuracy. The study observed these successes but also highlights the ongoing obstacles to AI adoption in agriculture, emphasizing the need for creative thinking and interdisciplinary cooperation. In addition to its scholarly value, the collected data has significant implications for improving resource efficiency, directing precision agricultural methods, and supporting global food security programs. Notably, the gradient boosting and LSTM algorithm outperformed the others with an exceptional accuracy of 96% and 97%, demonstrating their potential for accurate stress categorization. This work highlights the revolutionary potential of AI to completely disrupt the agricultural industry while simultaneously advancing our understanding of plant stress responses.
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Carotenoids Intake and Cardiovascular Prevention: A Systematic Review
Background: Cardiovascular diseases (CVDs) encompass a variety of conditions that affect the heart and blood vessels. Carotenoids, a group of fat-soluble organic pigments synthesized by plants, fungi, algae, and some bacteria, may have a beneficial effect in reducing cardiovascular disease (CVD) risk. This study aims to examine and synthesize current research on the relationship between carotenoids and CVDs. Methods: A systematic review was conducted using MEDLINE and the Cochrane Library to identify relevant studies on the efficacy of carotenoid supplementation for CVD prevention. Interventional analytical studies (randomized and non-randomized clinical trials) published in English from January 2011 to February 2024 were included. Results: A total of 38 studies were included in the qualitative analysis. Of these, 17 epidemiological studies assessed the relationship between carotenoids and CVDs, 9 examined the effect of carotenoid supplementation, and 12 evaluated dietary interventions. Conclusions: Elevated serum carotenoid levels are associated with reduced CVD risk factors and inflammatory markers. Increasing the consumption of carotenoid-rich foods appears to be more effective than supplementation, though the specific effects of individual carotenoids on CVD risk remain uncertain.
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