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Number of items: 35.
2026
Article
Subjects > Biomedicine
Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Obesity is recognised to be a risk factor for breast cancer since adipose tissue influences the tumour microenvironment. This study aims to investigate the effect of the secretome of 3T3-L1 adipocytes untreated or treated with liquorice root extract (LRE), containing flavonoids, phenolic acids, and saponins on MCF-7 breast cancer cells. By treating adipocytes with LRE, the secretion of certain pro-tumorigenic factors like IGFBP-6, resistin, and VEGF was reduced. MCF-7 cells exposed to conditioned medium from LRE-treated adipocytes exhibited an increase in reactive oxygen species levels, downregulation of the Nrf2 antioxidant pathway, and increased autophagy. Those conditions reduced cell viability, migration, and colony formation. Additionally, there was downregulation of genes associated with oestrogen signalling and tumour-related processes, including CYP19A1 (aromatase), ERα, Her2, and components of the renin–angiotensin system (RAS). These findings suggest that LRE can modulate the adipocyte secretome to influence breast cancer cell behaviour under obesity-related in vitro conditions. Cianciosi, Danila and Armas Diaz, Yasmany and Yang, Bei and Qi, Zexiu and Chen, Ge and Quiles, José L. and Gasparrini, Massimiliano and Cassotta, Manuela and Calderón Iglesias, Rubén and Battino, Maurizio and Giampieri, Francesca UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es, UNSPECIFIED, manucassotta@gmail.com, ruben.calderon@uneatlantico.es, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es
Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Obesity is recognised to be a risk factor for breast cancer since adipose tissue influences the tumour microenvironment. This study aims to investigate the effect of the secretome of 3T3-L1 adipocytes untreated or treated with liquorice root extract (LRE), containing flavonoids, phenolic acids, and saponins on MCF-7 breast cancer cells. By treating adipocytes with LRE, the secretion of certain pro-tumorigenic factors like IGFBP-6, resistin, and VEGF was reduced. MCF-7 cells exposed to conditioned medium from LRE-treated adipocytes exhibited an increase in reactive oxygen species levels, downregulation of the Nrf2 antioxidant pathway, and increased autophagy. Those conditions reduced cell viability, migration, and colony formation. Additionally, there was downregulation of genes associated with oestrogen signalling and tumour-related processes, including CYP19A1 (aromatase), ERα, Her2, and components of the renin–angiotensin system (RAS). These findings suggest that LRE can modulate the adipocyte secretome to influence breast cancer cell behaviour under obesity-related in vitro conditions. Cianciosi, Danila and Armas Diaz, Yasmany and Yang, Bei and Qi, Zexiu and Chen, Ge and Quiles, José L. and Gasparrini, Massimiliano and Cassotta, Manuela and Calderón Iglesias, Rubén and Battino, Maurizio and Giampieri, Francesca UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es, UNSPECIFIED, manucassotta@gmail.com, ruben.calderon@uneatlantico.es, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es
Liquorice alters adipocyte–breast cancer cell crosstalk by modulating oxidative stress and suppressing aromatase and renin–angiotensin signalling.
2025
Article
Subjects > Biomedicine
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés The intake of anthocyanins has been shown to have significant effects on the gut microbiota, influencing its composition, diversity, and functionality. These effects include promoting the growth of beneficial bacterial families, such as Bifidobacterium and Lactobacillus, and ameliorating microbiota diversity. The specific enzymes produced by these bacteria, such as β-glucosidases, hydrolases, and decarboxylases, are crucial for breaking down complex anthocyanin structures and converting them into bioactive molecules, able to cross the blood-brain barrier, potentially affecting brain health. As more research is needed into the specific roles of different microbial species on metabolites production, it becomes increasingly clear that the gut microbiota may play an important role in unlocking the potential health benefits of anthocyanins also in relation to brain health. Godos, Justyna and Micek, Agnieszka and Caruso, Giuseppe and Carota, Giuseppe and Di Mauro, Andrea and Furnari, Fabrizio and Di Giorgio, Jason and D’Agostino, Martina and Leonardi, Alice and Balzano, Rosa MG and Di Venuta, Christian and Giampieri, Francesca and Alemany Iturriaga, Josep and Torrisi, Sebastiano Alfio and Leggio, Gian Marco and Grosso, Giuseppe UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, josep.alemany@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés The intake of anthocyanins has been shown to have significant effects on the gut microbiota, influencing its composition, diversity, and functionality. These effects include promoting the growth of beneficial bacterial families, such as Bifidobacterium and Lactobacillus, and ameliorating microbiota diversity. The specific enzymes produced by these bacteria, such as β-glucosidases, hydrolases, and decarboxylases, are crucial for breaking down complex anthocyanin structures and converting them into bioactive molecules, able to cross the blood-brain barrier, potentially affecting brain health. As more research is needed into the specific roles of different microbial species on metabolites production, it becomes increasingly clear that the gut microbiota may play an important role in unlocking the potential health benefits of anthocyanins also in relation to brain health. Godos, Justyna and Micek, Agnieszka and Caruso, Giuseppe and Carota, Giuseppe and Di Mauro, Andrea and Furnari, Fabrizio and Di Giorgio, Jason and D’Agostino, Martina and Leonardi, Alice and Balzano, Rosa MG and Di Venuta, Christian and Giampieri, Francesca and Alemany Iturriaga, Josep and Torrisi, Sebastiano Alfio and Leggio, Gian Marco and Grosso, Giuseppe UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, josep.alemany@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED
Anthocyanin metabolites from gut microbiota and cognitive health.
Article
Subjects > Social Sciences
Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés The global economies depend heavily on commodity prices, which have an effect on businesses, investors, and consumers worldwide. It is important to be able to estimate commodity prices accurately because it facilitates risk management, distribution of resources, and intelligent decision-making. For the current status of research in this area, this study gives a systematic review of the available commodity price prediction models specifically for house prices in real estate. We determine and compare different commodity price prediction models and techniques used in academic and commercial settings. The paper is divided into three primary categories: house price prediction, stock price prediction, and natural gas price prediction. Within each category, various methodologies are utilized, including ensemble methods, neural networks, support vector machines, time series analysis, and regression analysis. This review offers a thorough analysis of both the strengths and limitations of current models, as well as the major variables affecting their performance. Additionally, potential challenges associated with models are discussed, and insights are provided for addressing different prediction issues. The review serves as an invaluable guide for researchers, practitioners, and policymakers seeking to gain deeper knowledge of the latest advancements in commodity price prediction. The findings indicate that machine learning holds significant potential for optimizing house price predictions. Saeed, Natasha and Shafi, Imran and Pervez, Sidra and Bautista Thompson, Ernesto and Kuc Castilla, Ángel Gabriel and Samad, Md Abdus and Ashraf, Imran UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ernesto.bautista@unini.edu.mx, angel.kuc@uneatlantico.es, UNSPECIFIED, UNSPECIFIED
Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés The global economies depend heavily on commodity prices, which have an effect on businesses, investors, and consumers worldwide. It is important to be able to estimate commodity prices accurately because it facilitates risk management, distribution of resources, and intelligent decision-making. For the current status of research in this area, this study gives a systematic review of the available commodity price prediction models specifically for house prices in real estate. We determine and compare different commodity price prediction models and techniques used in academic and commercial settings. The paper is divided into three primary categories: house price prediction, stock price prediction, and natural gas price prediction. Within each category, various methodologies are utilized, including ensemble methods, neural networks, support vector machines, time series analysis, and regression analysis. This review offers a thorough analysis of both the strengths and limitations of current models, as well as the major variables affecting their performance. Additionally, potential challenges associated with models are discussed, and insights are provided for addressing different prediction issues. The review serves as an invaluable guide for researchers, practitioners, and policymakers seeking to gain deeper knowledge of the latest advancements in commodity price prediction. The findings indicate that machine learning holds significant potential for optimizing house price predictions. Saeed, Natasha and Shafi, Imran and Pervez, Sidra and Bautista Thompson, Ernesto and Kuc Castilla, Ángel Gabriel and Samad, Md Abdus and Ashraf, Imran UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ernesto.bautista@unini.edu.mx, angel.kuc@uneatlantico.es, UNSPECIFIED, UNSPECIFIED
Intelligent Decision Making for Commodities Price Prediction: Opportunities, Challenges and Future Avenues.
Article
Subjects > Biomedicine
Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Background: Sarcopenia, characterized by a reduction in skeletal muscle mass and function, is a prevalent complication in the Intensive Care Unit (ICU) and is related to increased mortality. This study aims to determine whether muscle and fat mass measurements at the T12 and L1 vertebrae using chest tomography can predict mortality among critically ill COVID-19 patients requiring invasive mechanical ventilation (MV). Methods: Fifty-one critically ill COVID-19 patients on MV underwent chest tomography within 72 h of ICU admission. Muscle mass was measured using the Core Slicer program. Results: After adjustment for potential confounding factors related to background and clinical parameters, a 1-unit increase in muscle mass, subcutaneous, and intra-abdominal fat mass at the L1 level was associated with approximately 1–2% lower odds of negative outcomes and in-hospital mortality. No significant association was found between muscle mass at the T12 level and patient outcomes. Furthermore, no significant results were observed when considering a 1-standard deviation increase as the exposure variable. Conclusion: Measuring muscle mass using chest tomography at the T12 level does not effectively predict outcomes for ICU patients. However, muscle and fat mass at the L1 level may be associated with a lower risk of negative outcomes. Additional studies should explore other potential markers or methods to improve prognostic accuracy in this critically ill population. Llobera, Natalia Daniela and Frias-Toral, Evelyn and Aquino, Mariel and Reberendo, María Jimena and Cardona Díaz, Laura and García, Adriana and Montalván, Martha and Velarde Sotres, Álvaro and Chapela, Sebastián UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, alvaro.velarde@uneatlantico.es, UNSPECIFIED
Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Background: Sarcopenia, characterized by a reduction in skeletal muscle mass and function, is a prevalent complication in the Intensive Care Unit (ICU) and is related to increased mortality. This study aims to determine whether muscle and fat mass measurements at the T12 and L1 vertebrae using chest tomography can predict mortality among critically ill COVID-19 patients requiring invasive mechanical ventilation (MV). Methods: Fifty-one critically ill COVID-19 patients on MV underwent chest tomography within 72 h of ICU admission. Muscle mass was measured using the Core Slicer program. Results: After adjustment for potential confounding factors related to background and clinical parameters, a 1-unit increase in muscle mass, subcutaneous, and intra-abdominal fat mass at the L1 level was associated with approximately 1–2% lower odds of negative outcomes and in-hospital mortality. No significant association was found between muscle mass at the T12 level and patient outcomes. Furthermore, no significant results were observed when considering a 1-standard deviation increase as the exposure variable. Conclusion: Measuring muscle mass using chest tomography at the T12 level does not effectively predict outcomes for ICU patients. However, muscle and fat mass at the L1 level may be associated with a lower risk of negative outcomes. Additional studies should explore other potential markers or methods to improve prognostic accuracy in this critically ill population. Llobera, Natalia Daniela and Frias-Toral, Evelyn and Aquino, Mariel and Reberendo, María Jimena and Cardona Díaz, Laura and García, Adriana and Montalván, Martha and Velarde Sotres, Álvaro and Chapela, Sebastián UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, alvaro.velarde@uneatlantico.es, UNSPECIFIED
Measurement of chest muscle mass in COVID-19 patients on mechanical ventilation using tomography.
Article
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Icons are the first visual element users encounter when searching for applications in online store. Icons with eye-catching features can make an app stand out in user searches, playing a crucial role in attracting user attention and influencing selection. This increases the likelihood of downloads, which can expand the user base, improve revenue, and enhance engagement, contributing to the application’s overall success. However, the majority of research focused on evaluating appeal of apps through application icons is empirical in nature and may lack comprehensive data analytical approaches. While empirical research holds its significance, it may still be limited by the size of the dataset analyzed and could also be subjective. This proposed research presents a novel data-analytical methodology to analyze a large dataset of application icons from Google Play to determine their influence on downloads. It clusters the icons using three different techniques: -means clustering with two distinct feature vectors and agglomerative clustering, extracting various visual features from the clusters that are strongly correlated with application installs. Subsequently, validation of results has revealed that factors of varied colors, the dominance of white or black colors, text, and exposure in the icons can be linked to downloads. Bilal, Ahmad and Turab Mirza, Hamid and Ahmad, Adnan and Hussain, Ibrar and Raza, Ali and Garay, Helena and Alemany Iturriaga, Josep and Ashraf, Imran UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, helena.garay@uneatlantico.es, josep.alemany@uneatlantico.es, UNSPECIFIED
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Icons are the first visual element users encounter when searching for applications in online store. Icons with eye-catching features can make an app stand out in user searches, playing a crucial role in attracting user attention and influencing selection. This increases the likelihood of downloads, which can expand the user base, improve revenue, and enhance engagement, contributing to the application’s overall success. However, the majority of research focused on evaluating appeal of apps through application icons is empirical in nature and may lack comprehensive data analytical approaches. While empirical research holds its significance, it may still be limited by the size of the dataset analyzed and could also be subjective. This proposed research presents a novel data-analytical methodology to analyze a large dataset of application icons from Google Play to determine their influence on downloads. It clusters the icons using three different techniques: -means clustering with two distinct feature vectors and agglomerative clustering, extracting various visual features from the clusters that are strongly correlated with application installs. Subsequently, validation of results has revealed that factors of varied colors, the dominance of white or black colors, text, and exposure in the icons can be linked to downloads. Bilal, Ahmad and Turab Mirza, Hamid and Ahmad, Adnan and Hussain, Ibrar and Raza, Ali and Garay, Helena and Alemany Iturriaga, Josep and Ashraf, Imran UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, helena.garay@uneatlantico.es, josep.alemany@uneatlantico.es, UNSPECIFIED
On the correlation between Google Play Store application icons and downloads.
Article
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Understanding how dietary compounds affect human health is challenged by their molecular complexity and cell-type–specific effects. Conventional multi-cell type (bulk) analyses obscure cellular heterogeneity, while animal and standard in vitro models often fail to replicate human physiology. Single-cell omics technologies—such as single-cell RNA sequencing, as well as single-cell–resolved proteomic and metabolomic approaches—enable high-resolution investigation of nutrient–cell interactions and reveal mechanisms at a single-cell resolution. When combined with advanced human-derived in vitro systems like organoids and organ-on-chip platforms, they support mechanistic studies in physiologically relevant contexts. This review outlines emerging applications of single-cell omics in nutrition research, emphasizing their potential to uncover cell-specific dietary responses, identify nutrient-sensitive pathways, and capture interindividual variability. It also discusses key challenges—including technical limitations, model selection, and institutional biases—and identifies strategic directions to facilitate broader adoption in the field. Collectively, single-cell omics offer a transformative framework to advance human-centric nutrition research. Cassotta, Manuela and Armas Diaz, Yasmany and Cianciosi, Danila and Yang, Bei and Qi, Zexiu and Chen, Ge and Gracia Villar, Santos and Dzul López, Luis Alonso and Grosso, Giuseppe and Quiles, José L. and Xiao, Jianbo and Battino, Maurizio and Giampieri, Francesca manucassotta@gmail.com, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, luis.dzul@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Understanding how dietary compounds affect human health is challenged by their molecular complexity and cell-type–specific effects. Conventional multi-cell type (bulk) analyses obscure cellular heterogeneity, while animal and standard in vitro models often fail to replicate human physiology. Single-cell omics technologies—such as single-cell RNA sequencing, as well as single-cell–resolved proteomic and metabolomic approaches—enable high-resolution investigation of nutrient–cell interactions and reveal mechanisms at a single-cell resolution. When combined with advanced human-derived in vitro systems like organoids and organ-on-chip platforms, they support mechanistic studies in physiologically relevant contexts. This review outlines emerging applications of single-cell omics in nutrition research, emphasizing their potential to uncover cell-specific dietary responses, identify nutrient-sensitive pathways, and capture interindividual variability. It also discusses key challenges—including technical limitations, model selection, and institutional biases—and identifies strategic directions to facilitate broader adoption in the field. Collectively, single-cell omics offer a transformative framework to advance human-centric nutrition research. Cassotta, Manuela and Armas Diaz, Yasmany and Cianciosi, Danila and Yang, Bei and Qi, Zexiu and Chen, Ge and Gracia Villar, Santos and Dzul López, Luis Alonso and Grosso, Giuseppe and Quiles, José L. and Xiao, Jianbo and Battino, Maurizio and Giampieri, Francesca manucassotta@gmail.com, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, luis.dzul@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es
Single-cell omics for nutrition research: an emerging opportunity for human-centric investigations.
Article
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Food security is a universal need worldwide. This study explored the relationship between food security and adherence to the Mediterranean diet in the context of the DELICIOUS project. A survey involving 2,011 parents of children and adolescents aged 6–17 years was conducted. Adherence to the Mediterranean diet was assessed through the KIDMED score. Information regarding the ease of accessing Mediterranean foods, economic allowance, employment and residence was collected. Logistic regressions analyses were performed to test the associations. Individuals living in rural areas and reporting difficulty in obtaining all studied foods were less likely to follow the Mediterranean diet. Higher adherence was associated with a household monthly income higher than €4000. No associations with family status and no differences across countries were found. The progressive shift away from the Mediterranean diet may depend not only on cultural preferences for unhealthier, industrial alternatives but also on family budgets and food accessibility. Scazzina, Francesca and Rosi, Alice and Giampieri, Francesca and Poveda-Loor, Carlos and Abdelkarim, Osama and Aly, Mohamed and Frias-Toral, Evelyn and Pons, Juancho and Vázquez-Araújo, Laura and Sumalla Cano, Sandra and Elío Pascual, Iñaki and Monasta, Lorenzo and Paladino, Nadia and Mata, Ana and Chacón, Adrián and Busó, Pablo and Grosso, Giuseppe UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, sandra.sumalla@uneatlantico.es, inaki.elio@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Food security is a universal need worldwide. This study explored the relationship between food security and adherence to the Mediterranean diet in the context of the DELICIOUS project. A survey involving 2,011 parents of children and adolescents aged 6–17 years was conducted. Adherence to the Mediterranean diet was assessed through the KIDMED score. Information regarding the ease of accessing Mediterranean foods, economic allowance, employment and residence was collected. Logistic regressions analyses were performed to test the associations. Individuals living in rural areas and reporting difficulty in obtaining all studied foods were less likely to follow the Mediterranean diet. Higher adherence was associated with a household monthly income higher than €4000. No associations with family status and no differences across countries were found. The progressive shift away from the Mediterranean diet may depend not only on cultural preferences for unhealthier, industrial alternatives but also on family budgets and food accessibility. Scazzina, Francesca and Rosi, Alice and Giampieri, Francesca and Poveda-Loor, Carlos and Abdelkarim, Osama and Aly, Mohamed and Frias-Toral, Evelyn and Pons, Juancho and Vázquez-Araújo, Laura and Sumalla Cano, Sandra and Elío Pascual, Iñaki and Monasta, Lorenzo and Paladino, Nadia and Mata, Ana and Chacón, Adrián and Busó, Pablo and Grosso, Giuseppe UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, sandra.sumalla@uneatlantico.es, inaki.elio@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED
Socio-economic status, food security and adherence to the Mediterranean diet in five Mediterranean countries: the DELICIOUS project.
Article
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Strawberries are commonly consumed berries in the Mediterranean area. The fruits present a high concentration of micronutrients and bioactive compounds that confer a plethora of biological activities, including antioxidant and anti-inflammatory properties. This review discusses and updates the recent results of in vivo studies, in animals and humans, focusing on the impact that strawberry consumption has on many common human diseases, such as obesity, cancer, cardiovascular diseases and metabolic disorders; particular attention has been given to the biological effects and molecular mechanisms involved in the beneficial effects exerted by this berry. Evidence suggests these fruits can contribute to preventing or slowing down the progression of many diseases, even though further research is necessary to confirm their long-term effectiveness, to improve patients’ quality of life or prognosis. Cianciosi, Danila and Armas Diaz, Yasmany and Qi, Zexiu and Yang, Bei and Chen, Ge and Cassotta, Manuela and Gracia Villar, Santos and Dzul López, Luis Alonso and Rivas Garcia, Lorenzo and Forbes Hernandez, Tamara Yuliet and Zhang, Di and Mazzoni, Luca and Mezzetti, Bruno and Battino, Maurizio and Giampieri, Francesca UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, manucassotta@gmail.com, santos.gracia@uneatlantico.es, luis.dzul@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Strawberries are commonly consumed berries in the Mediterranean area. The fruits present a high concentration of micronutrients and bioactive compounds that confer a plethora of biological activities, including antioxidant and anti-inflammatory properties. This review discusses and updates the recent results of in vivo studies, in animals and humans, focusing on the impact that strawberry consumption has on many common human diseases, such as obesity, cancer, cardiovascular diseases and metabolic disorders; particular attention has been given to the biological effects and molecular mechanisms involved in the beneficial effects exerted by this berry. Evidence suggests these fruits can contribute to preventing or slowing down the progression of many diseases, even though further research is necessary to confirm their long-term effectiveness, to improve patients’ quality of life or prognosis. Cianciosi, Danila and Armas Diaz, Yasmany and Qi, Zexiu and Yang, Bei and Chen, Ge and Cassotta, Manuela and Gracia Villar, Santos and Dzul López, Luis Alonso and Rivas Garcia, Lorenzo and Forbes Hernandez, Tamara Yuliet and Zhang, Di and Mazzoni, Luca and Mezzetti, Bruno and Battino, Maurizio and Giampieri, Francesca UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, manucassotta@gmail.com, santos.gracia@uneatlantico.es, luis.dzul@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es
Strawberry as a health promoter: an evidence-based review. Where are we 10 years later?
2024
Article
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés The correct analysis of medical images requires the medical knowledge and expertise of radiologists to understand, clarify, and explain complex patterns and diagnose diseases. After analyzing, radiologists write detailed and well-structured reports that contribute to the precise and timely diagnosis of patients. However, manually writing reports is often expensive and time-consuming, and it is difficult for radiologists to analyze medical images, particularly images with multiple views and perceptions. It is challenging to accurately diagnose diseases, and many methods are proposed to help radiologists, both traditional and deep learning-based. Automatic report generation is widely used to tackle this issue as it streamlines the process and lessens the burden of manual labeling of images. This paper introduces a systematic literature review with a focus on analyses and evaluating existing research on medical report generation. This SLR follows a proper protocol for the planning, reviewing, and reporting of the results. This review recognizes that the most commonly used deep learning models are encoder-decoder frameworks (45 articles), which provide an accuracy of around 92–95%. Transformers-based models (20 articles) are the second most established method and achieve an accuracy of around 91%. The remaining articles explored in this SLR are attention mechanisms (10), RNN-LSTM (10), Large language models (LLM-10), and graph-based methods (4) with promising results. However, these methods also face certain limitations such as overfitting, risk of bias, and high data dependency that impact their performance. The review not only highlights the strengths and challenges of these methods but also suggests ways to handle them in the future to increase the accuracy and timely generation of medical reports. The goal of this review is to direct radiologists toward methods that lessen their workload and provide precise medical diagnoses. Rehman, Marwareed and Shafi, Imran and Ahmad, Jamil and Osorio García, Carlos Manuel and Pascual Barrera, Alina Eugenia and Ashraf, Imran UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carlos.osorio@uneatlantico.es, alina.pascual@unini.edu.mx, UNSPECIFIED
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés The correct analysis of medical images requires the medical knowledge and expertise of radiologists to understand, clarify, and explain complex patterns and diagnose diseases. After analyzing, radiologists write detailed and well-structured reports that contribute to the precise and timely diagnosis of patients. However, manually writing reports is often expensive and time-consuming, and it is difficult for radiologists to analyze medical images, particularly images with multiple views and perceptions. It is challenging to accurately diagnose diseases, and many methods are proposed to help radiologists, both traditional and deep learning-based. Automatic report generation is widely used to tackle this issue as it streamlines the process and lessens the burden of manual labeling of images. This paper introduces a systematic literature review with a focus on analyses and evaluating existing research on medical report generation. This SLR follows a proper protocol for the planning, reviewing, and reporting of the results. This review recognizes that the most commonly used deep learning models are encoder-decoder frameworks (45 articles), which provide an accuracy of around 92–95%. Transformers-based models (20 articles) are the second most established method and achieve an accuracy of around 91%. The remaining articles explored in this SLR are attention mechanisms (10), RNN-LSTM (10), Large language models (LLM-10), and graph-based methods (4) with promising results. However, these methods also face certain limitations such as overfitting, risk of bias, and high data dependency that impact their performance. The review not only highlights the strengths and challenges of these methods but also suggests ways to handle them in the future to increase the accuracy and timely generation of medical reports. The goal of this review is to direct radiologists toward methods that lessen their workload and provide precise medical diagnoses. Rehman, Marwareed and Shafi, Imran and Ahmad, Jamil and Osorio García, Carlos Manuel and Pascual Barrera, Alina Eugenia and Ashraf, Imran UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carlos.osorio@uneatlantico.es, alina.pascual@unini.edu.mx, UNSPECIFIED
Advancement in medical report generation: current practices, challenges, and future directions.
Article
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés This article seeks to anticipate AirBnB prices using advanced regression approaches. Extensive data analysis was done on different databases spanning diverse variables such as location, property type, facility, and user level. The database is constructed utilizing robust approaches such as feature augmentation, outlier reduction, and value loss. A number of complex regression models, such as linear regression, decision tree, random forest, gradient regression, are generated on the pre-developed database. The model is improved through hyperparameter adjustment to increase prediction accuracy. A cross-validation approach was employed to examine the performance and resilience of the model. In addition, a feature significance study was undertaken to discover the most significant elements impacting Airbnb prices. The experimental findings suggest that the improved regression approach delivers greater prediction accuracy than the standard model. The results of this study add to Airbnb’s pricing system and can promote improved decision-making for hosts and visitors searching for competitive pricing. Sar, Ayan and Choudhury, Tanupriya and Bajaj, Tridha and Kotecha, Ketan and Garat de Marin, Mirtha Silvana UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, silvana.marin@uneatlantico.es
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés This article seeks to anticipate AirBnB prices using advanced regression approaches. Extensive data analysis was done on different databases spanning diverse variables such as location, property type, facility, and user level. The database is constructed utilizing robust approaches such as feature augmentation, outlier reduction, and value loss. A number of complex regression models, such as linear regression, decision tree, random forest, gradient regression, are generated on the pre-developed database. The model is improved through hyperparameter adjustment to increase prediction accuracy. A cross-validation approach was employed to examine the performance and resilience of the model. In addition, a feature significance study was undertaken to discover the most significant elements impacting Airbnb prices. The experimental findings suggest that the improved regression approach delivers greater prediction accuracy than the standard model. The results of this study add to Airbnb’s pricing system and can promote improved decision-making for hosts and visitors searching for competitive pricing. Sar, Ayan and Choudhury, Tanupriya and Bajaj, Tridha and Kotecha, Ketan and Garat de Marin, Mirtha Silvana UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, silvana.marin@uneatlantico.es
Airbnb Price Prediction Using Advanced Regression Techniques and Deployment Using Streamlit.
Article
Subjects > Biomedicine
Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Brain–computer interface (BCI) technology holds promise for individuals with profound motor impairments, offering the potential for communication and control. Motor imagery (MI)-based BCI systems are particularly relevant in this context. Despite their potential, achieving accurate and robust classification of MI tasks using electroencephalography (EEG) data remains a significant challenge. In this paper, we employed the Minimum Redundancy Maximum Relevance (MRMR) algorithm to optimize channel selection. Furthermore, we introduced a hybrid optimization approach that combines the War Strategy Optimization (WSO) and Chimp Optimization Algorithm (ChOA). This hybridization significantly enhances the classification model’s overall performance and adaptability. A two-tier deep learning architecture is proposed for classification, consisting of a Convolutional Neural Network (CNN) and a modified Deep Neural Network (M-DNN). The CNN focuses on capturing temporal correlations within EEG data, while the M-DNN is designed to extract high-level spatial characteristics from selected EEG channels. Integrating optimal channel selection, hybrid optimization, and the two-tier deep learning methodology in our BCI framework presents an enhanced approach for precise and effective BCI control. Our model got 95.06% accuracy with high precision. This advancement has the potential to significantly impact neurorehabilitation and assistive technology applications, facilitating improved communication and control for individuals with motor impairments Kumari, Annu and Edla, Damodar Reddy and Reddy, R. Ravinder and Jannu, Srikanth and Vidyarthi, Ankit and Alkhayyat, Ahmed and Garat de Marin, Mirtha Silvana UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, silvana.marin@uneatlantico.es
Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Brain–computer interface (BCI) technology holds promise for individuals with profound motor impairments, offering the potential for communication and control. Motor imagery (MI)-based BCI systems are particularly relevant in this context. Despite their potential, achieving accurate and robust classification of MI tasks using electroencephalography (EEG) data remains a significant challenge. In this paper, we employed the Minimum Redundancy Maximum Relevance (MRMR) algorithm to optimize channel selection. Furthermore, we introduced a hybrid optimization approach that combines the War Strategy Optimization (WSO) and Chimp Optimization Algorithm (ChOA). This hybridization significantly enhances the classification model’s overall performance and adaptability. A two-tier deep learning architecture is proposed for classification, consisting of a Convolutional Neural Network (CNN) and a modified Deep Neural Network (M-DNN). The CNN focuses on capturing temporal correlations within EEG data, while the M-DNN is designed to extract high-level spatial characteristics from selected EEG channels. Integrating optimal channel selection, hybrid optimization, and the two-tier deep learning methodology in our BCI framework presents an enhanced approach for precise and effective BCI control. Our model got 95.06% accuracy with high precision. This advancement has the potential to significantly impact neurorehabilitation and assistive technology applications, facilitating improved communication and control for individuals with motor impairments Kumari, Annu and Edla, Damodar Reddy and Reddy, R. Ravinder and Jannu, Srikanth and Vidyarthi, Ankit and Alkhayyat, Ahmed and Garat de Marin, Mirtha Silvana UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, silvana.marin@uneatlantico.es
EEG-based motor imagery channel selection and classification using hybrid optimization and two-tier deep learning.
Article
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Rice is an important staple food in Asia. It is produced and consumed in large quantities. It contributes to 15 % of protein intake and 21 % of total per capita energy intake in the region, underscoring its important role as a primary global food source. Conversely, rice plants are heavily affected by bacterial, fungal and other microbial diseases, resulting in reduced plant health and crop yields and posing a major challenge for rice farmers. Manual diagnosis of these diseases is particularly problematic in regions with a shortage of agricultural experts. Farmers with insufficient experience sometimes incorrectly identify these diseases by hand. Recent advances in deep learning (DL) models offer a promising solution through automatic image recognition systems that can be very helpful in accurately identifying these diseases. This manuscript presents a resource-efficient federated learning IoAT (Internet of Agriculture Things) approach for rice leaf disease classification. This approach incorporates two key strategies, namely federated transfer learning and feature extraction, and evaluates their performance on various metrics such as accuracy, loss, precision, recall, AUC, and resource-related parameters such as GPU memory consumption, virtual memory, CPU and GPU process utilization. The dataset used in the study includes 5932 images of rice leaf diseases categorized as bacterial leaf blight, blast, brown spot and tungro. The research investigates the application of federated transfer learning and federated feature extraction techniques to classify rice leaf disease images. It performs a comparative analysis of their performance and resource utilization. EfficientNetB3, with an impressive validation accuracy of 99 %, is identified as the base model for the federated learning (FL) environment. Furthermore, we implement FL using both transfer learning and feature extraction methods and compare their results on a number of performance and resource related parameters. It is shown that the federated feature extraction approach has lower GPU memory and process utilization compared to the federated transfer learning approach and is thus more resource efficient. Extracting features before model training results in a lightweight model, which is especially beneficial for FL, IoAT devices that require efficient execution on edge devices. Therefore, the proposed approach is presented as a lightweight, privacy-friendly and resource-efficient solution for rice leaf disease classification. Aggarwal, Meenakshi and Khullar, Vikas and Goyal, Nitin and Prola, Thomas UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, thomas.prola@uneatlantico.es
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Rice is an important staple food in Asia. It is produced and consumed in large quantities. It contributes to 15 % of protein intake and 21 % of total per capita energy intake in the region, underscoring its important role as a primary global food source. Conversely, rice plants are heavily affected by bacterial, fungal and other microbial diseases, resulting in reduced plant health and crop yields and posing a major challenge for rice farmers. Manual diagnosis of these diseases is particularly problematic in regions with a shortage of agricultural experts. Farmers with insufficient experience sometimes incorrectly identify these diseases by hand. Recent advances in deep learning (DL) models offer a promising solution through automatic image recognition systems that can be very helpful in accurately identifying these diseases. This manuscript presents a resource-efficient federated learning IoAT (Internet of Agriculture Things) approach for rice leaf disease classification. This approach incorporates two key strategies, namely federated transfer learning and feature extraction, and evaluates their performance on various metrics such as accuracy, loss, precision, recall, AUC, and resource-related parameters such as GPU memory consumption, virtual memory, CPU and GPU process utilization. The dataset used in the study includes 5932 images of rice leaf diseases categorized as bacterial leaf blight, blast, brown spot and tungro. The research investigates the application of federated transfer learning and federated feature extraction techniques to classify rice leaf disease images. It performs a comparative analysis of their performance and resource utilization. EfficientNetB3, with an impressive validation accuracy of 99 %, is identified as the base model for the federated learning (FL) environment. Furthermore, we implement FL using both transfer learning and feature extraction methods and compare their results on a number of performance and resource related parameters. It is shown that the federated feature extraction approach has lower GPU memory and process utilization compared to the federated transfer learning approach and is thus more resource efficient. Extracting features before model training results in a lightweight model, which is especially beneficial for FL, IoAT devices that require efficient execution on edge devices. Therefore, the proposed approach is presented as a lightweight, privacy-friendly and resource-efficient solution for rice leaf disease classification. Aggarwal, Meenakshi and Khullar, Vikas and Goyal, Nitin and Prola, Thomas UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, thomas.prola@uneatlantico.es
Resource-efficient federated learning over IoAT for rice leaf disease classification.
2023
Other
Subjects > Biomedicine
Subjects > Engineering
Subjects > Nutrition Europe University of Atlantic > Research > Projects I+D+I
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Inglés CLINICALSIM is a capability building project targeted to Angola Higher Education Institutions with the aim of improving the practical training of nurses. Nurses are in the focus of health challenges in Angola and they are highly demanded in healthcare, meanwhile their practical competencies are considered as a critical issue. The consortium pursues filling the gap in practical skills (decision-making, interpersonal skills, human nutrition) and promoting HEIs social commitment. We will take advantage of simulation suites and multimedia digital tools to deploy experiential learnings and to promote a Community Service/Service-Learning into the universities. The experiential learning will take place in three different scenarios: simulation suites, digital multimedia and real patients. A reflective practice methodology with a debriefing process will be followed. In the context of Service-Learning, we also introduce the social aim of CLINICALSIM and we appoint special considerations to individuals with socio-economic obstacles and health problems and the promotion of better nutrition habits. CLINICALSIM es un proyecto de desarrollo de capacidades dirigido a las Instituciones de Educación Superior (IES) de Angola con el objetivo de mejorar la formación práctica de los profesionales de la enfermería. Este colectivo se encuentra en el centro de los retos sanitarios en Angola y es muy solicitado en la asistencia sanitaria, mientras que sus competencias prácticas se consideran una cuestión crítica. El consorcio pretende llenar el vacío existente en las habilidades prácticas (toma de decisiones, habilidades interpersonales, nutrición humana) y promover el compromiso social de las IES. Se aprovecharán las suites de simulación y las herramientas digitales multimedia para desplegar aprendizajes experienciales y promover un Servicio Comunitario/Aprendizaje-Servicio en las universidades. El aprendizaje experiencial se llevará a cabo en tres escenarios diferentes: salas de simulación, multimedia digital y pacientes reales, siguiendo una metodología de práctica reflexiva con un proceso de debriefing. En el contexto del Aprendizaje-Servicio, también se introduce el objetivo social de CLINICALSIM y se nombran consideraciones especiales a individuos con obstáculos socioeconómicos y problemas de salud y la promoción de mejores hábitos de nutrición. Período 2023-2026 UNSPECIFIED UNSPECIFIED
Subjects > Engineering
Subjects > Nutrition Europe University of Atlantic > Research > Projects I+D+I
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Inglés CLINICALSIM is a capability building project targeted to Angola Higher Education Institutions with the aim of improving the practical training of nurses. Nurses are in the focus of health challenges in Angola and they are highly demanded in healthcare, meanwhile their practical competencies are considered as a critical issue. The consortium pursues filling the gap in practical skills (decision-making, interpersonal skills, human nutrition) and promoting HEIs social commitment. We will take advantage of simulation suites and multimedia digital tools to deploy experiential learnings and to promote a Community Service/Service-Learning into the universities. The experiential learning will take place in three different scenarios: simulation suites, digital multimedia and real patients. A reflective practice methodology with a debriefing process will be followed. In the context of Service-Learning, we also introduce the social aim of CLINICALSIM and we appoint special considerations to individuals with socio-economic obstacles and health problems and the promotion of better nutrition habits. CLINICALSIM es un proyecto de desarrollo de capacidades dirigido a las Instituciones de Educación Superior (IES) de Angola con el objetivo de mejorar la formación práctica de los profesionales de la enfermería. Este colectivo se encuentra en el centro de los retos sanitarios en Angola y es muy solicitado en la asistencia sanitaria, mientras que sus competencias prácticas se consideran una cuestión crítica. El consorcio pretende llenar el vacío existente en las habilidades prácticas (toma de decisiones, habilidades interpersonales, nutrición humana) y promover el compromiso social de las IES. Se aprovecharán las suites de simulación y las herramientas digitales multimedia para desplegar aprendizajes experienciales y promover un Servicio Comunitario/Aprendizaje-Servicio en las universidades. El aprendizaje experiencial se llevará a cabo en tres escenarios diferentes: salas de simulación, multimedia digital y pacientes reales, siguiendo una metodología de práctica reflexiva con un proceso de debriefing. En el contexto del Aprendizaje-Servicio, también se introduce el objetivo social de CLINICALSIM y se nombran consideraciones especiales a individuos con obstáculos socioeconómicos y problemas de salud y la promoción de mejores hábitos de nutrición. Período 2023-2026 UNSPECIFIED UNSPECIFIED
CLINICALSIM: Clinical simulation practice-based learning in nursing.
Article
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Agriculture is an important sector that plays an essential role in the economic development of a country. Each year farmers face numerous challenges in producing good quality crops. One of the major reasons behind the failure of the harvest is the use of unscientific agricultural practices. Moreover, every year enormous crop loss is encountered either by pests, specific diseases, or natural disasters. It raises a strong concern to employ sustainable advanced technologies to address agriculture-related issues. In this paper, a sustainable real-time crop disease detection and prevention system, called CROPCARE is proposed. The system integrates mobile vision, Internet of Things (IoT), and Google Cloud services for sustainable growth of crops. The primary function of the proposed intelligent system is to detect crop diseases through the CROPCARE -mobile application. It uses Super-Resolution Convolution Network (SRCNN) and the pretrained model MobileNet-V2 to generate a decision model trained over various diseases. To maintain sustainability, the mobile app is integrated with IoT sensors and Google Cloud services. The proposed system also provides recommendations that help farmers know about current soil conditions, weather conditions, disease prevention methods, etc. It supports both Hindi and English dictionaries for the convenience of the farmers. The proposed approach is validated by using the PlantVillage dataset. The obtained results confirm the performance strength of the proposed system. Garg, Garima and Gupta, Shivam and Mishra, Preeti and Vidyarthi, Ankit and Singh, Aman and Ali, Asmaa UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Agriculture is an important sector that plays an essential role in the economic development of a country. Each year farmers face numerous challenges in producing good quality crops. One of the major reasons behind the failure of the harvest is the use of unscientific agricultural practices. Moreover, every year enormous crop loss is encountered either by pests, specific diseases, or natural disasters. It raises a strong concern to employ sustainable advanced technologies to address agriculture-related issues. In this paper, a sustainable real-time crop disease detection and prevention system, called CROPCARE is proposed. The system integrates mobile vision, Internet of Things (IoT), and Google Cloud services for sustainable growth of crops. The primary function of the proposed intelligent system is to detect crop diseases through the CROPCARE -mobile application. It uses Super-Resolution Convolution Network (SRCNN) and the pretrained model MobileNet-V2 to generate a decision model trained over various diseases. To maintain sustainability, the mobile app is integrated with IoT sensors and Google Cloud services. The proposed system also provides recommendations that help farmers know about current soil conditions, weather conditions, disease prevention methods, etc. It supports both Hindi and English dictionaries for the convenience of the farmers. The proposed approach is validated by using the PlantVillage dataset. The obtained results confirm the performance strength of the proposed system. Garg, Garima and Gupta, Shivam and Mishra, Preeti and Vidyarthi, Ankit and Singh, Aman and Ali, Asmaa UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED
CROPCARE: An Intelligent Real-Time Sustainable IoT System for Crop Disease Detection Using Mobile Vision.
Other
Subjects > Social Sciences
Europe University of Atlantic > Research > Software
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Inglés, Español A partir de los datos introducidos y de diferentes escenarios, la herramienta del simulador digital genera distintos retos a los estudiantes-emprendedores para poner a prueba y evaluar la parte financiera de una propuesta de emprendimiento y también ofrece recomendaciones en función de la aportación real de diferentes agentes financieros como bancos, inversores privados, business angels o plataformas de financiación colaborativa. UNSPECIFIED UNSPECIFIED
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Inglés, Español A partir de los datos introducidos y de diferentes escenarios, la herramienta del simulador digital genera distintos retos a los estudiantes-emprendedores para poner a prueba y evaluar la parte financiera de una propuesta de emprendimiento y también ofrece recomendaciones en función de la aportación real de diferentes agentes financieros como bancos, inversores privados, business angels o plataformas de financiación colaborativa. UNSPECIFIED UNSPECIFIED
Digital Simulator for Entrepreneurial Finance (FINANCEn_LAB).
Article
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Inflammatory bowel disease (IBD) patients are at substantially higher risk of colorectal cancer (CRC) and IBD-associated CRC accounts for roughly 10-15% of the annual mortality in IBD patients. IBD-related CRC also affects younger patients if compared with sporadic CRC, with a 5-year survival rate of 50%. Regardless of medical therapies, the persistent inflammation state characterizing IBD raises the risk for precancerous changes and CRC, with additional input from several elements including genetic and environmental risk factors, IBD-associated comorbidities, intestinal barrier disfunction, and gut microbiota modifications. It is well known that nutritional habits and dietary bioactive compounds can influence IBD-associated inflammation, microbiome abundance and composition, oxidative stress balance, and gut permeability. In addition, in the last years, results from broad epidemiological and experimental studies have associated certain foods or nutritional patterns with the risk of colorectal neoplasia. Here we review the possible role of nutrition in the prevention of IBD-related CRC, focusing specifically on human studies. In conclusion it emerges that nutritional interventions based on healthy, nutrient-dense dietary patterns characterized by a high intake of fiber, vegetables, fruit, Omega-3 PUFAs, and low amount of animal proteins, processed foods and alcohol, combined with probiotic supplementation have the potential of reducing IBD-activity and preventing the risk of IBD-related CRC through different mechanisms, suggesting that targeted nutritional interventions may represent a novel promising approach for the prevention and management of IBD-associated CRC. Cassotta, Manuela and Cianciosi, Danila and De Giuseppe, Rachele and Navarro-Hortal, Maria Dolores and Diaz, Yasmany Armas and Forbes-Hernández, Tamara Yuliett and Tutusaus, Kilian and Pascual Barrera, Alina Eugenia and Grosso, Giuseppe and Xiao, Jianbo and Battino, Maurizio and Giampieri, Francesca manucassotta@gmail.com, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, kilian.tutusaus@uneatlantico.es, alina.pascual@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Inflammatory bowel disease (IBD) patients are at substantially higher risk of colorectal cancer (CRC) and IBD-associated CRC accounts for roughly 10-15% of the annual mortality in IBD patients. IBD-related CRC also affects younger patients if compared with sporadic CRC, with a 5-year survival rate of 50%. Regardless of medical therapies, the persistent inflammation state characterizing IBD raises the risk for precancerous changes and CRC, with additional input from several elements including genetic and environmental risk factors, IBD-associated comorbidities, intestinal barrier disfunction, and gut microbiota modifications. It is well known that nutritional habits and dietary bioactive compounds can influence IBD-associated inflammation, microbiome abundance and composition, oxidative stress balance, and gut permeability. In addition, in the last years, results from broad epidemiological and experimental studies have associated certain foods or nutritional patterns with the risk of colorectal neoplasia. Here we review the possible role of nutrition in the prevention of IBD-related CRC, focusing specifically on human studies. In conclusion it emerges that nutritional interventions based on healthy, nutrient-dense dietary patterns characterized by a high intake of fiber, vegetables, fruit, Omega-3 PUFAs, and low amount of animal proteins, processed foods and alcohol, combined with probiotic supplementation have the potential of reducing IBD-activity and preventing the risk of IBD-related CRC through different mechanisms, suggesting that targeted nutritional interventions may represent a novel promising approach for the prevention and management of IBD-associated CRC. Cassotta, Manuela and Cianciosi, Danila and De Giuseppe, Rachele and Navarro-Hortal, Maria Dolores and Diaz, Yasmany Armas and Forbes-Hernández, Tamara Yuliett and Tutusaus, Kilian and Pascual Barrera, Alina Eugenia and Grosso, Giuseppe and Xiao, Jianbo and Battino, Maurizio and Giampieri, Francesca manucassotta@gmail.com, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, kilian.tutusaus@uneatlantico.es, alina.pascual@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es
Possible role of nutrition in the prevention of Inflammatory Bowel Disease-related colorectal cancer: a focus on human studies.
Article
Subjects > Biomedicine
Subjects > Engineering
Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Obesity and overweight has increased in the last year and has become a pandemic disease, the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and calories. Machine learning (ML) has proven to be very useful in the scientific community, especially in the health sector. With the aim of providing useful tools to help nutritionists and dieticians, research focused on the development of ML and Deep Learning (DL) algorithms and models is searched in the literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol has been used, a very common technique applied to carry out revisions. In our proposal, 17 articles have been filtered in which ML and DL are applied in the prediction of diseases, in the delineation of treatment strategies, in the improvement of personalized nutrition and more. Despite expecting better results with the use of DL, according to the selected investigations, the traditional methods are still the most used and the yields in both cases fluctuate around positive values, conditioned by the databases (transformed in each case) to a greater extent than by the artificial intelligence paradigm used. Conclusions: An important compilation is provided for the literature in this area. ML models are time-consuming to clean data, but (like DL) they allow automatic modeling of large volumes of data which makes them superior to traditional statistics. Ferreras, Antonio and Sumalla Cano, Sandra and Martínez-Licort, Rosmeri and Elío Pascual, Iñaki and Tutusaus, Kilian and Prola, Thomas and Vidal Mazón, Juan Luis and Sahelices, Benjamín and de la Torre Díez, Isabel UNSPECIFIED, sandra.sumalla@uneatlantico.es, UNSPECIFIED, inaki.elio@uneatlantico.es, kilian.tutusaus@uneatlantico.es, thomas.prola@uneatlantico.es, juanluis.vidal@uneatlantico.es, UNSPECIFIED, UNSPECIFIED
Subjects > Engineering
Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Obesity and overweight has increased in the last year and has become a pandemic disease, the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and calories. Machine learning (ML) has proven to be very useful in the scientific community, especially in the health sector. With the aim of providing useful tools to help nutritionists and dieticians, research focused on the development of ML and Deep Learning (DL) algorithms and models is searched in the literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol has been used, a very common technique applied to carry out revisions. In our proposal, 17 articles have been filtered in which ML and DL are applied in the prediction of diseases, in the delineation of treatment strategies, in the improvement of personalized nutrition and more. Despite expecting better results with the use of DL, according to the selected investigations, the traditional methods are still the most used and the yields in both cases fluctuate around positive values, conditioned by the databases (transformed in each case) to a greater extent than by the artificial intelligence paradigm used. Conclusions: An important compilation is provided for the literature in this area. ML models are time-consuming to clean data, but (like DL) they allow automatic modeling of large volumes of data which makes them superior to traditional statistics. Ferreras, Antonio and Sumalla Cano, Sandra and Martínez-Licort, Rosmeri and Elío Pascual, Iñaki and Tutusaus, Kilian and Prola, Thomas and Vidal Mazón, Juan Luis and Sahelices, Benjamín and de la Torre Díez, Isabel UNSPECIFIED, sandra.sumalla@uneatlantico.es, UNSPECIFIED, inaki.elio@uneatlantico.es, kilian.tutusaus@uneatlantico.es, thomas.prola@uneatlantico.es, juanluis.vidal@uneatlantico.es, UNSPECIFIED, UNSPECIFIED
Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.
2022
Article
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés The Information Centric Networking (ICN) is a future internet architecture to support efficient content distribution in a vehicular environment. In-network caching in ICN provides a realistic solution for vehicular communication due to storage of content replicas inside network vehicles. However, the challenge still exists while caching content replicas in resource constraint vehicles ( such as limited power and cache capacity) to minimize the communication latency. To address the above mentioned challenge, this paper proposes EPC - an ICN based Energy efficient Placement of Content chunk that fits well in a vehicular environment. The proposed resource management strategy mainly aims to reduce the content fetching delay by caching content replicas towards the network edge router. The EPC strategy decides on placement of content chunks on each vehicle by jointly considering residual power of current vehicle, local popularity of content, and caching gain. The EPC supports efficient utilization of network available resources by allowing only vehicles with their residual power greater than threshold to perform chunk caching and hence, further offers reduced content duplication in the whole network. The effectiveness of the proposed scheme is evaluated in Icarus- an ICN simulator for analyzing the performance of ICN caching and routing strategies. The EPC outperforms various state of the art caching strategies approximately by 30% when gets evaluated in terms of offered cache hit ratio, content retrieval delay, and the average number of hops utilized for fetching the requested content. Gupta, Divya and Rani, Shalli and Singh, Aman and Rodrigues, Joel J. P. C. UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés The Information Centric Networking (ICN) is a future internet architecture to support efficient content distribution in a vehicular environment. In-network caching in ICN provides a realistic solution for vehicular communication due to storage of content replicas inside network vehicles. However, the challenge still exists while caching content replicas in resource constraint vehicles ( such as limited power and cache capacity) to minimize the communication latency. To address the above mentioned challenge, this paper proposes EPC - an ICN based Energy efficient Placement of Content chunk that fits well in a vehicular environment. The proposed resource management strategy mainly aims to reduce the content fetching delay by caching content replicas towards the network edge router. The EPC strategy decides on placement of content chunks on each vehicle by jointly considering residual power of current vehicle, local popularity of content, and caching gain. The EPC supports efficient utilization of network available resources by allowing only vehicles with their residual power greater than threshold to perform chunk caching and hence, further offers reduced content duplication in the whole network. The effectiveness of the proposed scheme is evaluated in Icarus- an ICN simulator for analyzing the performance of ICN caching and routing strategies. The EPC outperforms various state of the art caching strategies approximately by 30% when gets evaluated in terms of offered cache hit ratio, content retrieval delay, and the average number of hops utilized for fetching the requested content. Gupta, Divya and Rani, Shalli and Singh, Aman and Rodrigues, Joel J. P. C. UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED
ICN Based Efficient Content Caching Scheme for Vehicular Networks.
Other
Subjects > Engineering
Europe University of Atlantic > Research > Projects I+D+I
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Español La línea de actividad científico-técnica que se propone se titula “Observatorio 5G“ y está orientada a generar conocimiento en el ámbito de las nuevas redes de telecomunicaciones y servicios asociados al estándar tecnológico de quinta generación para redes móviles de banda ancha (5G). El despliegue de la quinta generación de tecnologías de telefonía móvil, conocida como 5G, está protagonizado por la necesidad de conseguir que las diferentes compañías fabricantes consigan implantar sus estándares a nivel internacional. A diferencia de las tecnologías de 3G y 4G donde era necesario un despliegue masivo para dar servicio a cuanto mayor número posible de población, la tecnología 5G se basa en el concepto de despliegues particulares, con soluciones críticas mediante soluciones ad-hoc. Por ello, es importante tanto la creación de un potente ecosistema 5G así como que el mismo contemple a los emprendedores y pequeñas empresas que será quienes creen los servicios que solucionen los problemas concretos de las industrias sobre esta nueva tecnología. La tecnología 5G será una realidad en breve. Por ello, se requiere realizar acciones que permitan que los países lideren su implantación de una manera sólida, ordenada y consensuada permitiendo una ventaja competitiva tanto a nivel gubernamental como industrial para desarrollar un ecosistema adecuado del despliegue de 5G. Para poder dar soluciones en tres ámbitos de actuación (Coordinación de Proyectos; Regulación y Legislación; e Innovación, Emprendimiento y Estandarización) se propone analizar la creación de un Observatorio 5G. El objetivo general del presente proyecto es elaborar un estudio que permita analizar la factibilidad de la creación de un Observatorio 5G. Para ello, será necesario identificar las grandes líneas maestras que deben ser comunes a un observatorio según las singularidades de cada territorio. En particular, nuestro interés será identificar oportunidades alrededor de lo que denominábamos “innovación y ecosistema 5G”, es decir, oportunidades que se puedan abrir especialmente: - Para la creación de un ecosistema científico-técnico que comparta la capacidad de Innovación mediante la tecnología 5G (Universidades, Centros Tecnológicos, Centros de I+D de las empresas, etc.). - Para la generación de conocimiento con el mundo científico y académico que permita adaptar la formación del talento para tener en cuenta las necesidades futuras en base a la tecnología. - Crear sinergias desde el ecosistema de innovación con el ecosistema de emprendimiento que favorezca la creación de nuevas empresas y productos para liderar el mercado. - Generar capacitaciones y formación continua. UNSPECIFIED UNSPECIFIED
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Español La línea de actividad científico-técnica que se propone se titula “Observatorio 5G“ y está orientada a generar conocimiento en el ámbito de las nuevas redes de telecomunicaciones y servicios asociados al estándar tecnológico de quinta generación para redes móviles de banda ancha (5G). El despliegue de la quinta generación de tecnologías de telefonía móvil, conocida como 5G, está protagonizado por la necesidad de conseguir que las diferentes compañías fabricantes consigan implantar sus estándares a nivel internacional. A diferencia de las tecnologías de 3G y 4G donde era necesario un despliegue masivo para dar servicio a cuanto mayor número posible de población, la tecnología 5G se basa en el concepto de despliegues particulares, con soluciones críticas mediante soluciones ad-hoc. Por ello, es importante tanto la creación de un potente ecosistema 5G así como que el mismo contemple a los emprendedores y pequeñas empresas que será quienes creen los servicios que solucionen los problemas concretos de las industrias sobre esta nueva tecnología. La tecnología 5G será una realidad en breve. Por ello, se requiere realizar acciones que permitan que los países lideren su implantación de una manera sólida, ordenada y consensuada permitiendo una ventaja competitiva tanto a nivel gubernamental como industrial para desarrollar un ecosistema adecuado del despliegue de 5G. Para poder dar soluciones en tres ámbitos de actuación (Coordinación de Proyectos; Regulación y Legislación; e Innovación, Emprendimiento y Estandarización) se propone analizar la creación de un Observatorio 5G. El objetivo general del presente proyecto es elaborar un estudio que permita analizar la factibilidad de la creación de un Observatorio 5G. Para ello, será necesario identificar las grandes líneas maestras que deben ser comunes a un observatorio según las singularidades de cada territorio. En particular, nuestro interés será identificar oportunidades alrededor de lo que denominábamos “innovación y ecosistema 5G”, es decir, oportunidades que se puedan abrir especialmente: - Para la creación de un ecosistema científico-técnico que comparta la capacidad de Innovación mediante la tecnología 5G (Universidades, Centros Tecnológicos, Centros de I+D de las empresas, etc.). - Para la generación de conocimiento con el mundo científico y académico que permita adaptar la formación del talento para tener en cuenta las necesidades futuras en base a la tecnología. - Crear sinergias desde el ecosistema de innovación con el ecosistema de emprendimiento que favorezca la creación de nuevas empresas y productos para liderar el mercado. - Generar capacitaciones y formación continua. UNSPECIFIED UNSPECIFIED
Observatorio 5G.
Article
Subjects > Biomedicine
Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Articles and books
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Cactus has been used in traditional folk medicine because of its role in treating a number of diseases and conditions. Prickly pear fruit is an excellent source of secondary metabolites (i.e., betalains, flavonoids, and ascorbic acid) with health-promoting properties against many common human diseases, including diabetes, hypertension, hypercholesterolemia, rheumatic pain, gastric mucosa diseases and asthma. In addition, prickly pears are potential candidates for the development of low-cost functional foods because they grow with low water requirements in arid regions of the world. This review describes the main bioactive compounds found in this fruit and shows the in vitro and some clinical studies about the fruit of most important cactus (Opuntia ficus-indica) and its relationship with some chronic diseases. Even though a lot of effort have been done to study the relationship between this fruit and the human health, more studies on Opuntia ficus-indica could help better understand its pharmacological mechanism of action to provide clear scientific evidence to explain its traditional uses, and to identify its therapeutic potential in other diseases. Armas Diaz, Yasmany and Machì, Michele and Salinari, Alessia and Mazas Pérez-Oleaga, Cristina and Martínez López, Nohora Milena and Briones Urbano, Mercedes and Cianciosi, Danila UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, cristina.mazas@uneatlantico.es, nohora.martinez@uneatlantico.es, mercedes.briones@uneatlantico.es, UNSPECIFIED
Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Articles and books
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Cactus has been used in traditional folk medicine because of its role in treating a number of diseases and conditions. Prickly pear fruit is an excellent source of secondary metabolites (i.e., betalains, flavonoids, and ascorbic acid) with health-promoting properties against many common human diseases, including diabetes, hypertension, hypercholesterolemia, rheumatic pain, gastric mucosa diseases and asthma. In addition, prickly pears are potential candidates for the development of low-cost functional foods because they grow with low water requirements in arid regions of the world. This review describes the main bioactive compounds found in this fruit and shows the in vitro and some clinical studies about the fruit of most important cactus (Opuntia ficus-indica) and its relationship with some chronic diseases. Even though a lot of effort have been done to study the relationship between this fruit and the human health, more studies on Opuntia ficus-indica could help better understand its pharmacological mechanism of action to provide clear scientific evidence to explain its traditional uses, and to identify its therapeutic potential in other diseases. Armas Diaz, Yasmany and Machì, Michele and Salinari, Alessia and Mazas Pérez-Oleaga, Cristina and Martínez López, Nohora Milena and Briones Urbano, Mercedes and Cianciosi, Danila UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, cristina.mazas@uneatlantico.es, nohora.martinez@uneatlantico.es, mercedes.briones@uneatlantico.es, UNSPECIFIED
Prickly pear fruits from "Opuntia ficus-indica" varieties as a source of potential bioactive compounds in the Mediterranean diet.
Article
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Network slicing is expected to be critical in the deployment of 5G mobile networks and systems. On top of a single physical infrastructure, the technology enables operators to operate several virtual networks. As the 5G commercialization was recently deployed, network function virtualization (NFV) and software-defined networking (SDN) will drive network slicing. In this article, we present an overview of SDN in 5G, and the motivation, role, and market growth of network slicing. We then discuss usage scenarios of SDN in network slicing for 5G. The proposed architecture comprises the three usage scenarios: enhanced mobile broadband (eMBB) provides the support to varying types of services used; ultra-reliable low-latency communications (URLLC) provides a certain class of applications such as higher bandwidth, high definition video streaming, mobile TV, and so on; massive machine type communications (mMTC) throws light on the types of services used to connect huge numbers of devices. Finally, challenges and solutions based on network slicing in 5G are presented. Babbar, Himanshi and Rani, Shalli and AlZubi, Ahmad Ali and Singh, Aman and Nasser, Nidal and Ali, Asmaa UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Network slicing is expected to be critical in the deployment of 5G mobile networks and systems. On top of a single physical infrastructure, the technology enables operators to operate several virtual networks. As the 5G commercialization was recently deployed, network function virtualization (NFV) and software-defined networking (SDN) will drive network slicing. In this article, we present an overview of SDN in 5G, and the motivation, role, and market growth of network slicing. We then discuss usage scenarios of SDN in network slicing for 5G. The proposed architecture comprises the three usage scenarios: enhanced mobile broadband (eMBB) provides the support to varying types of services used; ultra-reliable low-latency communications (URLLC) provides a certain class of applications such as higher bandwidth, high definition video streaming, mobile TV, and so on; massive machine type communications (mMTC) throws light on the types of services used to connect huge numbers of devices. Finally, challenges and solutions based on network slicing in 5G are presented. Babbar, Himanshi and Rani, Shalli and AlZubi, Ahmad Ali and Singh, Aman and Nasser, Nidal and Ali, Asmaa UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED
Role of Network Slicing in Software Defined Networking for 5G: Use Cases and Future Directions.
2021
Other
Subjects > Engineering
Europe University of Atlantic > Research > Projects I+D+I
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Español "La actividad de I+D que se propone se orienta a desarrollar un módulo informático que permita la gestión indexada del material audiovisual que puede complementar al contenido en las revistas digitales. Además, se crea un sistema de métricas empleando tecnologías de inteligencia de negocio (business intelligence). Los objetivos específicos de la actividad de I+D son: 1. Definir un estándar adecuado para definir los metadatos relacionados con recursos audiovisuales contenidos y gestionados por una plataforma digital de una revista científica o editorial. 2. Desarrollar una solución para crear un canal de consulta de recursos audiovisuales (artículos y revistas) contenidos en una plataforma digital. 3. Construir un prototipo experimental que incluya la funcionalidad de la gestión indexada del recurso audiovisual. 4. Proponer un sistema de métricas empleando tecnologías relacionadas con la inteligencia de negocio (business intelligence) a partir de las estadísticas que se generan en el sistema. " UNSPECIFIED mls@devnull.funiber.org
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Español "La actividad de I+D que se propone se orienta a desarrollar un módulo informático que permita la gestión indexada del material audiovisual que puede complementar al contenido en las revistas digitales. Además, se crea un sistema de métricas empleando tecnologías de inteligencia de negocio (business intelligence). Los objetivos específicos de la actividad de I+D son: 1. Definir un estándar adecuado para definir los metadatos relacionados con recursos audiovisuales contenidos y gestionados por una plataforma digital de una revista científica o editorial. 2. Desarrollar una solución para crear un canal de consulta de recursos audiovisuales (artículos y revistas) contenidos en una plataforma digital. 3. Construir un prototipo experimental que incluya la funcionalidad de la gestión indexada del recurso audiovisual. 4. Proponer un sistema de métricas empleando tecnologías relacionadas con la inteligencia de negocio (business intelligence) a partir de las estadísticas que se generan en el sistema. " UNSPECIFIED mls@devnull.funiber.org
DIGI: Desarrollo de un prototipo digital para la gestión de recursos audiovisuales.
Other
Subjects > Engineering
Europe University of Atlantic > Research > Projects I+D+I
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Español La línea de actividad científico-técnica está orientada a explorar nuevas formas de desarrollo de software y arquitecturas que puedan ser extensibles a sistemas de gestión en el ámbito de la educación. El objetivo general del proyecto es evaluar la implantación de aplicativos informáticos de gestión por medio de una arquitectura de microservicios. Objetivos específicos: 1- Diseñar una arquitectura de software basada en microservicios incluyendo la definición de las herramientas de desarrollo e infraestructuras necesarias. 2- Desarrollar un módulo para la gestión curricular en el ámbito académico. 3- Desarrollar un módulo-componente para cuadros de mando integral aplicables a diferentes dominios de aplicación. 4- Evaluar los resultados obtenidos en los prototipos implantados, la metodología empleada, la arquitectura propuesta de microservicios y la infraestructura utilizada. A través del presente proyecto, se espera incrementar el nivel de actividad innovadora, en particular en los campos de: arquitectura de microservicios, microservicios multi-dominio. Algunos de los resultados esperados son: arquitectura de microservicios y novedosa estrategia de desarrollo en la organización, mejora productiva en el proceso de desarrollo de soluciones TIC, mejora en los procesos de gestión académica. UNSPECIFIED UNSPECIFIED
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Español La línea de actividad científico-técnica está orientada a explorar nuevas formas de desarrollo de software y arquitecturas que puedan ser extensibles a sistemas de gestión en el ámbito de la educación. El objetivo general del proyecto es evaluar la implantación de aplicativos informáticos de gestión por medio de una arquitectura de microservicios. Objetivos específicos: 1- Diseñar una arquitectura de software basada en microservicios incluyendo la definición de las herramientas de desarrollo e infraestructuras necesarias. 2- Desarrollar un módulo para la gestión curricular en el ámbito académico. 3- Desarrollar un módulo-componente para cuadros de mando integral aplicables a diferentes dominios de aplicación. 4- Evaluar los resultados obtenidos en los prototipos implantados, la metodología empleada, la arquitectura propuesta de microservicios y la infraestructura utilizada. A través del presente proyecto, se espera incrementar el nivel de actividad innovadora, en particular en los campos de: arquitectura de microservicios, microservicios multi-dominio. Algunos de los resultados esperados son: arquitectura de microservicios y novedosa estrategia de desarrollo en la organización, mejora productiva en el proceso de desarrollo de soluciones TIC, mejora en los procesos de gestión académica. UNSPECIFIED UNSPECIFIED
Desarrollo experimental de una arquitectura de microservicios aplicada a la gestión académica.
Article
Subjects > Psychology
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Many earlier studies conducted on sports betting and addiction have examined sports betting in the context of gambling and have not taken into account the specific motivations of sports betting. Therefore, the effects of motivational elements of sports betting on sports betting addiction risk are unknown. The aim of the present study was to examine the effects of motivation factors specific to sports betting on sports betting addiction. Accordingly, three linked studies were conducted. Firstly, to determine sports betting motivations “Sports Betting Motivation Scale (SBMS)” developed and validated. Secondly, to determine the risks of sports betting addiction “Problem Sports Betting Severity Index (PSBSI)” was adapted from Problem Gambling Severity Index (PGSI). Finally, the third study examined effects of the sports betting motivations on sports betting addiction risk. Study one (n=281), study two comprised (n=230), and the final study comprised (n=643) sports fans who bet on sports regularly for 12 months with different motivations. The findings demonstrate that the SBMS appears to be a reliable and valid instrument for assessing sports betting motivations. Also, the findings provided PSBSI validity for the use of the Turkish and sports betting adapted version of PGSI. As a result of the main research, “make money,” “socialization,” and “being in the game” motivations were found to be positive predictors of sports betting addiction risk, while “fun” motivation was a negative predictor. The motivations “recreation/escape,” “knowledge of the game,” and “interest in sport” were found not to be significant predictors of the risk of sports betting addiction. Gökce Yüce, Sevda and Yüce, Arif and Katırcı, Hakan and Nogueira-López, Abel and González-Hernández, Juan UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, abel.nogueira@uneatlantico.es, UNSPECIFIED
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Many earlier studies conducted on sports betting and addiction have examined sports betting in the context of gambling and have not taken into account the specific motivations of sports betting. Therefore, the effects of motivational elements of sports betting on sports betting addiction risk are unknown. The aim of the present study was to examine the effects of motivation factors specific to sports betting on sports betting addiction. Accordingly, three linked studies were conducted. Firstly, to determine sports betting motivations “Sports Betting Motivation Scale (SBMS)” developed and validated. Secondly, to determine the risks of sports betting addiction “Problem Sports Betting Severity Index (PSBSI)” was adapted from Problem Gambling Severity Index (PGSI). Finally, the third study examined effects of the sports betting motivations on sports betting addiction risk. Study one (n=281), study two comprised (n=230), and the final study comprised (n=643) sports fans who bet on sports regularly for 12 months with different motivations. The findings demonstrate that the SBMS appears to be a reliable and valid instrument for assessing sports betting motivations. Also, the findings provided PSBSI validity for the use of the Turkish and sports betting adapted version of PGSI. As a result of the main research, “make money,” “socialization,” and “being in the game” motivations were found to be positive predictors of sports betting addiction risk, while “fun” motivation was a negative predictor. The motivations “recreation/escape,” “knowledge of the game,” and “interest in sport” were found not to be significant predictors of the risk of sports betting addiction. Gökce Yüce, Sevda and Yüce, Arif and Katırcı, Hakan and Nogueira-López, Abel and González-Hernández, Juan UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, abel.nogueira@uneatlantico.es, UNSPECIFIED
Effects of Sports Betting Motivations on Sports Betting Addiction in a Turkish Sample.
Article
Subjects > Biomedicine
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Fasting, caloric restriction and foods or compounds mimicking the biological effects of caloric restriction, known as caloric restriction mimetics, have been associated with a lower risk of age-related diseases, including cardiovascular diseases, cancer and cognitive decline, and a longer lifespan. Reduced calorie intake has been shown to stimulate cancer immunosurveillance, reducing the migration of immunosuppressive regulatory T cells towards the tumor bulk. Autophagy stimulation via reduction of lysine acetylation, increased sensitivity to chemo- and immunotherapy, along with a reduction of insulin-like growth factor 1 and reactive oxygen species have been described as some of the major effects triggered by caloric restriction. Fasting and caloric restriction have also been shown to beneficially influence gut microbiota composition, modify host metabolism, reduce total cholesterol and triglyceride levels, lower diastolic blood pressure and elevate morning cortisol level, with beneficial modulatory effects on cardiopulmonary fitness, body fat and weight, fatigue and weakness, and general quality of life. Moreover, caloric restriction may reduce the carcinogenic and metastatic potential of cancer stem cells, which are generally considered responsible of tumor formation and relapse. Here, we reviewed in vitro and in vivo studies describing the effects of fasting, caloric restriction and some caloric restriction mimetics on immunosurveillance, gut microbiota, metabolism, and cancer stem cell growth, highlighting the molecular and cellular mechanisms underlying these effects. Additionally, studies on caloric restriction interventions in cancer patients or cancer risk subjects are discussed. Considering the promising effects associated with caloric restriction and caloric restriction mimetics, we think that controlled-randomized large clinical trials are warranted to evaluate the inclusion of these non-pharmacological approaches in clinical practice. Pistollato, Francesca and Forbes-Hernández, Tamara Y. and Calderón Iglesias, Rubén and Ruiz Salces, Roberto and Elexpuru Zabaleta, Maria and Dominguez Azpíroz, Irma and Cianciosi, Danila and Quiles, José L. and Giampieri, Francesca and Battino, Maurizio francesca.pistollato@uneatlantico.es, UNSPECIFIED, ruben.calderon@uneatlantico.es, roberto.ruiz@uneatlantico.es, maria.elexpuru@uneatlantico.es, irma.dominguez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés Fasting, caloric restriction and foods or compounds mimicking the biological effects of caloric restriction, known as caloric restriction mimetics, have been associated with a lower risk of age-related diseases, including cardiovascular diseases, cancer and cognitive decline, and a longer lifespan. Reduced calorie intake has been shown to stimulate cancer immunosurveillance, reducing the migration of immunosuppressive regulatory T cells towards the tumor bulk. Autophagy stimulation via reduction of lysine acetylation, increased sensitivity to chemo- and immunotherapy, along with a reduction of insulin-like growth factor 1 and reactive oxygen species have been described as some of the major effects triggered by caloric restriction. Fasting and caloric restriction have also been shown to beneficially influence gut microbiota composition, modify host metabolism, reduce total cholesterol and triglyceride levels, lower diastolic blood pressure and elevate morning cortisol level, with beneficial modulatory effects on cardiopulmonary fitness, body fat and weight, fatigue and weakness, and general quality of life. Moreover, caloric restriction may reduce the carcinogenic and metastatic potential of cancer stem cells, which are generally considered responsible of tumor formation and relapse. Here, we reviewed in vitro and in vivo studies describing the effects of fasting, caloric restriction and some caloric restriction mimetics on immunosurveillance, gut microbiota, metabolism, and cancer stem cell growth, highlighting the molecular and cellular mechanisms underlying these effects. Additionally, studies on caloric restriction interventions in cancer patients or cancer risk subjects are discussed. Considering the promising effects associated with caloric restriction and caloric restriction mimetics, we think that controlled-randomized large clinical trials are warranted to evaluate the inclusion of these non-pharmacological approaches in clinical practice. Pistollato, Francesca and Forbes-Hernández, Tamara Y. and Calderón Iglesias, Rubén and Ruiz Salces, Roberto and Elexpuru Zabaleta, Maria and Dominguez Azpíroz, Irma and Cianciosi, Danila and Quiles, José L. and Giampieri, Francesca and Battino, Maurizio francesca.pistollato@uneatlantico.es, UNSPECIFIED, ruben.calderon@uneatlantico.es, roberto.ruiz@uneatlantico.es, maria.elexpuru@uneatlantico.es, irma.dominguez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED
Effects of caloric restriction on immunosurveillance, microbiota and cancer cell phenotype: Possible implications for cancer treatment.
Article
Subjects > Psychology
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés In recent decades, perfectionism has generated growing interest from the scientific community in understanding exercise addiction, due to the explicative contributions offered its characteristics that can make individuals more susceptible to unhealthy and compulsive exercise. There have been limited studies of such constructions in sports contexts. With the purpose of identifying the most relevant evidence on the constructs in sports contexts, the main links between perfectionism and exercise addiction in athletes were described. Taking into account the principles established by the PRISMA and AMSTAR statements for the qualitative and quantitative description of findings in systematic reviews, a compendium of original articles in English, French and Spanish published on the Web of Science electronic platforms and databases is presented, Scopus, ProQuest, MEDLINE and EBSCO-HOST, and included major resources such as PSY Articles, PsycINFO, LWW, ERIC, SportDISCUS, PubMed, ERIC, Dialnet, PubMed, ISOC, the Cochrane Library and Google Scholar. Of the 754 articles identified, only 22 met the established inclusion criteria. Finally, the relationship between exercise addiction and perfectionism, and the risk function of certain personality traits, such as narcissism, in this association is confirmed. González-Hernández, J. and Nogueira-López, Abel and Zangeneh, M. and López-Mora, C. UNSPECIFIED, abel.nogueira@uneatlantico.es, UNSPECIFIED, UNSPECIFIED
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books Cerrado Inglés In recent decades, perfectionism has generated growing interest from the scientific community in understanding exercise addiction, due to the explicative contributions offered its characteristics that can make individuals more susceptible to unhealthy and compulsive exercise. There have been limited studies of such constructions in sports contexts. With the purpose of identifying the most relevant evidence on the constructs in sports contexts, the main links between perfectionism and exercise addiction in athletes were described. Taking into account the principles established by the PRISMA and AMSTAR statements for the qualitative and quantitative description of findings in systematic reviews, a compendium of original articles in English, French and Spanish published on the Web of Science electronic platforms and databases is presented, Scopus, ProQuest, MEDLINE and EBSCO-HOST, and included major resources such as PSY Articles, PsycINFO, LWW, ERIC, SportDISCUS, PubMed, ERIC, Dialnet, PubMed, ISOC, the Cochrane Library and Google Scholar. Of the 754 articles identified, only 22 met the established inclusion criteria. Finally, the relationship between exercise addiction and perfectionism, and the risk function of certain personality traits, such as narcissism, in this association is confirmed. González-Hernández, J. and Nogueira-López, Abel and Zangeneh, M. and López-Mora, C. UNSPECIFIED, abel.nogueira@uneatlantico.es, UNSPECIFIED, UNSPECIFIED
Exercise Addiction and Perfectionism, Joint in the Same Path? A Systematic Review.
Other
Subjects > Engineering
Europe University of Atlantic > Research > Projects I+D+I
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Español El proyecto de investigación que se pretende llevar a cabo se refiere a la “Formación práctica mediante la aplicación de tecnologías basadas en entornos virtuales, aumentados e inmersivos“, y está orientado a una investigación que nos permita aplicar tecnologías de la información para simular entornos reales que son útiles en el ámbito de la educación y en concreto pretendemos innovar en los sistemas de evaluación que permitan a los docentes emplear estos entornos digitales. Las plataformas y medios digitales están cada vez más presentes en la sociedad y por ende en las organizaciones empresariales. Los profesionales de la educación no son ajenos a esta situación y se aprovechan de estas tecnologías y a la vez se enfrentan al reto de adaptarse de manera constante al avance tecnológico y a las repercusiones que tiene en su desempeño. En este ámbito, el desarrollo de las plataformas digitales para aprendizaje se ha visto impulsado por la confluencia de múltiples factores entre los cuales se destaca el avance tecnológico, la disponibilidad de dispositivos, las nuevas generaciones de nativos digitales. La formación e-learning es un ejemplo del auge de estas plataformas digitales pero todavía nos encontramos tecnologías más avanzadas como la realidad virtual, tecnologías inmersivas, Internet de las Cosas, etc. que también tienen o tendrán cabida en el entorno educativo. Nuestro proyecto nace con el objetivo de aportar valor a este escenario alrededor de los conocidos como entornos virtuales. Desde el sector educativo universitario, se ha sabido ver la oportunidad de la aplicación de estas técnicas a los procesos formativos del alumnado, inicialmente desde las ramas de la ingeniería que se dedicaban al propio desarrollo de estas tecnologías, y posteriormente desde las disciplinas más afines al aprendizaje cognitivo humano como pueden ser la Psicología o la Pedagogía que buscan evaluar estas técnicas respecto a otras metodologías más clásicas presentes en la Educación. Sin embargo, como se puede extraer de diversos artículos científicos que aplican estas modalidades para la educación, persisten carencias para que los docentes de cualquier área/disciplina dispongan de herramientas lo suficientemente intuitivas para crear los entornos virtuales para simular los entornos profesionales de su especialidad. El diseño de herramientas para docentes (T. Budai, 2019), ayudaría a evitar estas barreras de entrada para extender su uso. Por otro lado, aunque las publicaciones que aplican este tipo de tecnologías a la enseñanza (N. Pellas, 2020), la formación profesional (H. B. Andersson, 2020), o incluso a aprendizajes cognitivos (E. Rho, 2020), consideran que son muy positivas desde el punto de vista pedagógico (H. Ardiny, 2018), se reclama una necesidad en cuanto a establecer unas métricas y metodologías de evaluación apropiadas al proceso de enseñanza-aprendizaje (A. Dengel, 2018), (A. Christopoulos, 2019). En algunos casos se habla la gran asignatura pendiente, que es el tema de la evaluación. Cuando los docentes intentan implementar instrumentos de evaluación basados en entornos digitales, encuentran dificultades para hallar el equilibrio entre la evaluación, la metodología y el uso de los nuevos medios. Ante este escenario, el proyecto pretende diseñar y desarrollar un entorno virtual experimental para la educación práctica universitaria con énfasis en el sistema de evaluación del proceso de aprendizaje y el control de calidad. UNSPECIFIED UNSPECIFIED
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Español El proyecto de investigación que se pretende llevar a cabo se refiere a la “Formación práctica mediante la aplicación de tecnologías basadas en entornos virtuales, aumentados e inmersivos“, y está orientado a una investigación que nos permita aplicar tecnologías de la información para simular entornos reales que son útiles en el ámbito de la educación y en concreto pretendemos innovar en los sistemas de evaluación que permitan a los docentes emplear estos entornos digitales. Las plataformas y medios digitales están cada vez más presentes en la sociedad y por ende en las organizaciones empresariales. Los profesionales de la educación no son ajenos a esta situación y se aprovechan de estas tecnologías y a la vez se enfrentan al reto de adaptarse de manera constante al avance tecnológico y a las repercusiones que tiene en su desempeño. En este ámbito, el desarrollo de las plataformas digitales para aprendizaje se ha visto impulsado por la confluencia de múltiples factores entre los cuales se destaca el avance tecnológico, la disponibilidad de dispositivos, las nuevas generaciones de nativos digitales. La formación e-learning es un ejemplo del auge de estas plataformas digitales pero todavía nos encontramos tecnologías más avanzadas como la realidad virtual, tecnologías inmersivas, Internet de las Cosas, etc. que también tienen o tendrán cabida en el entorno educativo. Nuestro proyecto nace con el objetivo de aportar valor a este escenario alrededor de los conocidos como entornos virtuales. Desde el sector educativo universitario, se ha sabido ver la oportunidad de la aplicación de estas técnicas a los procesos formativos del alumnado, inicialmente desde las ramas de la ingeniería que se dedicaban al propio desarrollo de estas tecnologías, y posteriormente desde las disciplinas más afines al aprendizaje cognitivo humano como pueden ser la Psicología o la Pedagogía que buscan evaluar estas técnicas respecto a otras metodologías más clásicas presentes en la Educación. Sin embargo, como se puede extraer de diversos artículos científicos que aplican estas modalidades para la educación, persisten carencias para que los docentes de cualquier área/disciplina dispongan de herramientas lo suficientemente intuitivas para crear los entornos virtuales para simular los entornos profesionales de su especialidad. El diseño de herramientas para docentes (T. Budai, 2019), ayudaría a evitar estas barreras de entrada para extender su uso. Por otro lado, aunque las publicaciones que aplican este tipo de tecnologías a la enseñanza (N. Pellas, 2020), la formación profesional (H. B. Andersson, 2020), o incluso a aprendizajes cognitivos (E. Rho, 2020), consideran que son muy positivas desde el punto de vista pedagógico (H. Ardiny, 2018), se reclama una necesidad en cuanto a establecer unas métricas y metodologías de evaluación apropiadas al proceso de enseñanza-aprendizaje (A. Dengel, 2018), (A. Christopoulos, 2019). En algunos casos se habla la gran asignatura pendiente, que es el tema de la evaluación. Cuando los docentes intentan implementar instrumentos de evaluación basados en entornos digitales, encuentran dificultades para hallar el equilibrio entre la evaluación, la metodología y el uso de los nuevos medios. Ante este escenario, el proyecto pretende diseñar y desarrollar un entorno virtual experimental para la educación práctica universitaria con énfasis en el sistema de evaluación del proceso de aprendizaje y el control de calidad. UNSPECIFIED UNSPECIFIED
IMMERSIVE TECH: Formación práctica mediante la aplicación de tecnologías basadas en entornos virtuales, aumentados e inmersivos.
2020
Other
Subjects > Comunication
Europe University of Atlantic > Research > Projects I+D+I
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Español Actualmente, las redes sociales se han convertido en una potente herramienta de comunicación y divulgación tanto científica, como informativa. Sin embargo, el potencial de las redes sociales se dirige básicamente hacia el público general y joven y desde los mercados de retail, moda,.. mientras que existe una oportunidad para aprovechar las redes sociales para científicos y así también plantear nuevos formatos digitales para las revistas científicas. El proyecto pretende llevar a cabo una innovación en la empresa, teniendo en cuenta que el campo de las redes sociales dentro del ámbito científico está escasamente desarrollado (Academia, Researchgate, Mendeley..) y todo ello transfiriendo el conocimiento desde un grupo de investigación universitario. UNSPECIFIED UNSPECIFIED
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Español Actualmente, las redes sociales se han convertido en una potente herramienta de comunicación y divulgación tanto científica, como informativa. Sin embargo, el potencial de las redes sociales se dirige básicamente hacia el público general y joven y desde los mercados de retail, moda,.. mientras que existe una oportunidad para aprovechar las redes sociales para científicos y así también plantear nuevos formatos digitales para las revistas científicas. El proyecto pretende llevar a cabo una innovación en la empresa, teniendo en cuenta que el campo de las redes sociales dentro del ámbito científico está escasamente desarrollado (Academia, Researchgate, Mendeley..) y todo ello transfiriendo el conocimiento desde un grupo de investigación universitario. UNSPECIFIED UNSPECIFIED
El rol de las redes sociales en el ámbito científico.
Other
Subjects > Engineering
Subjects > Teaching Europe University of Atlantic > Research > Projects I+D+I
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Español 1- Gestionar online el proceso de revisión de contenidos recibidos y gestionarlo a distancia, contando con usuarios que se conectan al sistema de forma online y aportan sus valoraciones a través de la misma plataforma. En este caso se trata de facilitar un flujo de trabajo entre los diferentes participantes en el proceso (director de revista, editor en jefe, editor y revisor), de forma que puedan optimizar su productividad y trabajar de forma asincrónica sobre unos mismos contenidos editoriales y siguiendo un proceso homogéneo de acuerdo a nuestros procedimientos. 2- Automatizar determinados procesos de revisión de contenidos. En concreto, habíamos considerado de interés mejorar el proceso de revisión del formato de los artículos recibidos gracias a un software basado en inteligencia artificial. Teniendo en cuenta que los artículos científicos tienen una estructura y contenidos normalizados, pensamos que era posible automatizar algunos elementos de la revisión preliminar de contenidos. 3- Disponer de una solución para la fidelización de autores-revisores generando automáticamente certificados de participación como revisores de artículos científicos. Teniendo en cuenta la dificultad de lograr la participación de revisores científicos, y como parte del sistema de fidelización, se propuso una innovación en la plataforma, que permite generar de forma automática un auto-certificado para los revisores. 4- Estudiar la aplicación de los metadatos, las plataformas multilingües y las de e-commerce para distribución de contenidos. En este caso, lo que se hizo fue solicitar unos estudios de vigilancia tecnológica relacionados con: - Estándares internacionales para la creación de metadatos que nos permitan indexar de la mejor manera posible nuestros contenidos. - Estándares para plataformas multilingües que nos fueran de aplicación para crear un sistema de gestión de contenidos multi-idioma enlazado con los procesos de traducción. - Plataformas de e-commerce adaptadas a la distribución de contenidos electrónicos que nos permitiesen monetizar determinados contenidos y venderlos en Internet. UNSPECIFIED UNSPECIFIED
Subjects > Teaching Europe University of Atlantic > Research > Projects I+D+I
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Español 1- Gestionar online el proceso de revisión de contenidos recibidos y gestionarlo a distancia, contando con usuarios que se conectan al sistema de forma online y aportan sus valoraciones a través de la misma plataforma. En este caso se trata de facilitar un flujo de trabajo entre los diferentes participantes en el proceso (director de revista, editor en jefe, editor y revisor), de forma que puedan optimizar su productividad y trabajar de forma asincrónica sobre unos mismos contenidos editoriales y siguiendo un proceso homogéneo de acuerdo a nuestros procedimientos. 2- Automatizar determinados procesos de revisión de contenidos. En concreto, habíamos considerado de interés mejorar el proceso de revisión del formato de los artículos recibidos gracias a un software basado en inteligencia artificial. Teniendo en cuenta que los artículos científicos tienen una estructura y contenidos normalizados, pensamos que era posible automatizar algunos elementos de la revisión preliminar de contenidos. 3- Disponer de una solución para la fidelización de autores-revisores generando automáticamente certificados de participación como revisores de artículos científicos. Teniendo en cuenta la dificultad de lograr la participación de revisores científicos, y como parte del sistema de fidelización, se propuso una innovación en la plataforma, que permite generar de forma automática un auto-certificado para los revisores. 4- Estudiar la aplicación de los metadatos, las plataformas multilingües y las de e-commerce para distribución de contenidos. En este caso, lo que se hizo fue solicitar unos estudios de vigilancia tecnológica relacionados con: - Estándares internacionales para la creación de metadatos que nos permitan indexar de la mejor manera posible nuestros contenidos. - Estándares para plataformas multilingües que nos fueran de aplicación para crear un sistema de gestión de contenidos multi-idioma enlazado con los procesos de traducción. - Plataformas de e-commerce adaptadas a la distribución de contenidos electrónicos que nos permitiesen monetizar determinados contenidos y venderlos en Internet. UNSPECIFIED UNSPECIFIED
Estudios de vigilancia tecnológica y proyecto piloto para revista electrónica.
2019
Other
Subjects > Engineering
Europe University of Atlantic > Research > Software
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español El ahogamiento es una de las principales causas de muerte en el mundo, alrededor de 372.000 personas al año, siendo una cifra que se considera subestimada (OMS, 2014). En consecuencia, existe la necesidad de mejorar esta situación considerada de salud pública. El objetivo del proyecto SOSeas es el desarrollo de una herramienta de evaluación para predecir el riesgo dinámico de los ahogamientos en las playas. En los espacios acuáticos recreativos se espera que una herramienta informática pueda mejorar la gestión de la seguridad por parte de los socorristas y también la información de riesgo de ahogamiento para los bañistas. Este proyecto es una continuidad del trabajo realizado en PreventSOS. En aquel caso el foco era el desarrollo de un sistema experto para la identificación, análisis y gestión del riesgo en espacios acuáticos y el diseño de una aplicación web para el registro de incidentes y accidentes. SOSeas pretende mejorar el servicio anterior integrando el sistema de información que provee el Copernicus Marine Environment Monitoring Service (CMEMS) en todo el mundo. Se pretende conseguir suficientes datos para poder nutrir a un sistema basado en técnicas de aprendizaje-máquina. La herramienta SOSeas se desarrolla para dos tipos de usuarios : gestores de playas/socorristas y usuarios recreativos (nadadores, navegantes, surfistas...). Estos usuarios podrán acceder a las condiciones meteorológicas y oceanográficas así como a información a medida sobre las amenazas de estos entornos siempre cambiantes. UNSPECIFIED UNSPECIFIED
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español El ahogamiento es una de las principales causas de muerte en el mundo, alrededor de 372.000 personas al año, siendo una cifra que se considera subestimada (OMS, 2014). En consecuencia, existe la necesidad de mejorar esta situación considerada de salud pública. El objetivo del proyecto SOSeas es el desarrollo de una herramienta de evaluación para predecir el riesgo dinámico de los ahogamientos en las playas. En los espacios acuáticos recreativos se espera que una herramienta informática pueda mejorar la gestión de la seguridad por parte de los socorristas y también la información de riesgo de ahogamiento para los bañistas. Este proyecto es una continuidad del trabajo realizado en PreventSOS. En aquel caso el foco era el desarrollo de un sistema experto para la identificación, análisis y gestión del riesgo en espacios acuáticos y el diseño de una aplicación web para el registro de incidentes y accidentes. SOSeas pretende mejorar el servicio anterior integrando el sistema de información que provee el Copernicus Marine Environment Monitoring Service (CMEMS) en todo el mundo. Se pretende conseguir suficientes datos para poder nutrir a un sistema basado en técnicas de aprendizaje-máquina. La herramienta SOSeas se desarrolla para dos tipos de usuarios : gestores de playas/socorristas y usuarios recreativos (nadadores, navegantes, surfistas...). Estos usuarios podrán acceder a las condiciones meteorológicas y oceanográficas así como a información a medida sobre las amenazas de estos entornos siempre cambiantes. UNSPECIFIED UNSPECIFIED
SOSeas: An assessment tool for predicting the dynamic risk of drowning on beaches.
2017
Other
Subjects > Engineering
Europe University of Atlantic > Research > Projects I+D+I
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Español El objetivo principal del proyecto es el desarrollo de un conjunto de tecnologías digitales estandarizables que permitan a la empresa crear una API (Application Programming Interface) de interconexión entre una revista científica y entidades externas, como pueden ser bibliotecas universitarias y otros intermediarios de recursos de información. En síntesis, las principales innovaciones del proyecto son: la creación de un formato estándar de intercambio de datos para los artículos científicos, monetizar la difusión de contenidos científicos en un formato B2B, la implementación de una nueva funcionalidad para la plataforma OJS inexistente en el mercado, así como facilitar el intercambio de datos y acceso a la información entre plataformas. UNSPECIFIED UNSPECIFIED
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Español El objetivo principal del proyecto es el desarrollo de un conjunto de tecnologías digitales estandarizables que permitan a la empresa crear una API (Application Programming Interface) de interconexión entre una revista científica y entidades externas, como pueden ser bibliotecas universitarias y otros intermediarios de recursos de información. En síntesis, las principales innovaciones del proyecto son: la creación de un formato estándar de intercambio de datos para los artículos científicos, monetizar la difusión de contenidos científicos en un formato B2B, la implementación de una nueva funcionalidad para la plataforma OJS inexistente en el mercado, así como facilitar el intercambio de datos y acceso a la información entre plataformas. UNSPECIFIED UNSPECIFIED
TICartículo: Tecnologías de intercambio de datos de artículos científicos.
Other
Subjects > Teaching
Europe University of Atlantic > Research > Projects I+D+I
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Inglés El e-learning como modalidad de enseñanza-aprendizaje introduce especificidades en cuanto a las funciones y competencias docentes: nuevos entornos de aprendizaje suponen nuevos enfoques para entenderlos, diseñarlos y gestionarlos. La empresa MLSJOURNALS pretende desarrollar una nueva línea de servicios para Universidades dentro del campo de las competencias docentes para la cual requiere de un profesional del campo de la psicología y la docencia. La presente actividad de I+D aporta a la empresa un conocimiento sistematizado y basado en la evidencia, para describir el perfil de competencias docentes para la formación universitaria en entornos virtuales de aprendizaje. Con ello, la empresa pretende aportar un nuevo servicio que dé respuesta a esta necesidad en el mercado universitario, enfocándose a dos objetivos principales: 1. Describir el conjunto de competencias - que integran conocimientos, habilidades y actitudes- que deben reunir los profesores universitarios para la docencia a través de Entornos Virtuales de Aprendizaje. 2. Descubrir la relación existente entre el perfil competencial de los profesores y los resultados logrados en el proceso de enseñanza – aprendizaje. UNSPECIFIED UNSPECIFIED
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > R&D&I Projects
Universidad Internacional do Cuanza > Research > Projects I+D+I Cerrado Inglés El e-learning como modalidad de enseñanza-aprendizaje introduce especificidades en cuanto a las funciones y competencias docentes: nuevos entornos de aprendizaje suponen nuevos enfoques para entenderlos, diseñarlos y gestionarlos. La empresa MLSJOURNALS pretende desarrollar una nueva línea de servicios para Universidades dentro del campo de las competencias docentes para la cual requiere de un profesional del campo de la psicología y la docencia. La presente actividad de I+D aporta a la empresa un conocimiento sistematizado y basado en la evidencia, para describir el perfil de competencias docentes para la formación universitaria en entornos virtuales de aprendizaje. Con ello, la empresa pretende aportar un nuevo servicio que dé respuesta a esta necesidad en el mercado universitario, enfocándose a dos objetivos principales: 1. Describir el conjunto de competencias - que integran conocimientos, habilidades y actitudes- que deben reunir los profesores universitarios para la docencia a través de Entornos Virtuales de Aprendizaje. 2. Descubrir la relación existente entre el perfil competencial de los profesores y los resultados logrados en el proceso de enseñanza – aprendizaje. UNSPECIFIED UNSPECIFIED
VIRTUALAP: Competencias docentes para la formación universitaria en un entorno virtual de aprendizaje.
2016
Other
Subjects > Engineering
Europe University of Atlantic > Research > Software
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español Como resultado del proyecto “Nuevos mecanismos para conocer el riesgo de lesión en el deporte en diferentes tramos de la temporada deportiva” se ha generado una herramienta digital que permite llevar el control de las lesiones de cada deportista, así como sus constantes biomecánicas, hábitos de alimentación y estado de salud emocional de tal forma que, se cuenta con información que combina varios factores a un nivel de detalle importante y de modo personalizado para cada jugador. De este modo, se obtienen los inputs para generar el análisis estadístico que alerta sobre las probabilidades de sufrir determinada lesión. Objetivo del Proyecto: Desarrollar una herramienta que permita identificar el riesgo de lesión de un deportista, independientemente del nivel o categoría del mismo, y poder actuar en consecuencia de manera individualizada, según el período de la temporada en el que se encuentre. Financiación: Este proyecto ha sido cofinanciado por la Sociedad de Desarrollo Regional de Cantabria (SODERCAN) y el el Programa Operativo FEDER de Cantabria en el marco del programa denominado I+C= +C 2016 (Investigación + Conocimiento= +Cantabria) que tiene por objetivo el fortalecimiento del tejido industrial de la región. Inicio: 15/12/2016 Fin: 14/12/2018 Código Externo: ID16-IN-022 UNSPECIFIED UNSPECIFIED
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español Como resultado del proyecto “Nuevos mecanismos para conocer el riesgo de lesión en el deporte en diferentes tramos de la temporada deportiva” se ha generado una herramienta digital que permite llevar el control de las lesiones de cada deportista, así como sus constantes biomecánicas, hábitos de alimentación y estado de salud emocional de tal forma que, se cuenta con información que combina varios factores a un nivel de detalle importante y de modo personalizado para cada jugador. De este modo, se obtienen los inputs para generar el análisis estadístico que alerta sobre las probabilidades de sufrir determinada lesión. Objetivo del Proyecto: Desarrollar una herramienta que permita identificar el riesgo de lesión de un deportista, independientemente del nivel o categoría del mismo, y poder actuar en consecuencia de manera individualizada, según el período de la temporada en el que se encuentre. Financiación: Este proyecto ha sido cofinanciado por la Sociedad de Desarrollo Regional de Cantabria (SODERCAN) y el el Programa Operativo FEDER de Cantabria en el marco del programa denominado I+C= +C 2016 (Investigación + Conocimiento= +Cantabria) que tiene por objetivo el fortalecimiento del tejido industrial de la región. Inicio: 15/12/2016 Fin: 14/12/2018 Código Externo: ID16-IN-022 UNSPECIFIED UNSPECIFIED
Nuevos mecanismos para conocer el riesgo de lesión en el deporte en diferentes tramos de la temporada deportiva. R&P (Recovery and Performance).
Other
Subjects > Engineering
Europe University of Atlantic > Research > Software
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español El proyecto se centra en el desarrollo de tecnologías para la identificación de riesgos en espacios acuáticos naturales. A partir del conocimiento que se pretende generar, la entidad espera comercializar servicios de soporte para la gestión de riesgos, la acción preventiva y comunicación de emergencias. La propuesta se orienta a crear un sistema experto en la gestión de riesgos en espacios acuáticos naturales (playas), basado por un lado en una aplicación para la evaluación de riesgos, y por otro, en un sistema de registro y análisis de sucesos y accidentes. Esta herramienta debe permitir a los responsables de la gestión de la seguridad en zonas de baño una gestión adecuada y eficaz de los recursos preventivos para minimizar la probabilidad y severidad de riesgos que puedan afectar a la integridad física o a la salud de las personas, y en consecuencia, el aumento de la seguridad acuática en las costas. Objetivo del Proyecto: Desarrollar tecnologías para la identificación de riesgos en espacios acuáticos naturales con el objeto de prevenir ahogamientos y otros incidentes en zonas de playa. Financiación: Este proyecto ha sido cofinanciado por la Sociedad de Desarrollo Regional de Cantabria (SODERCAN) y el el Programa Operativo FEDER de Cantabria en el marco del programa denominado I+C= +C 2016 (Investigación + Conocimiento= +Cantabria) que tiene por objetivo el fortalecimiento del tejido industrial de la región. Inicio: 09/12/2016 Fin: 08/12/2018 Código Externo: ID16-IN-038 UNSPECIFIED UNSPECIFIED
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español El proyecto se centra en el desarrollo de tecnologías para la identificación de riesgos en espacios acuáticos naturales. A partir del conocimiento que se pretende generar, la entidad espera comercializar servicios de soporte para la gestión de riesgos, la acción preventiva y comunicación de emergencias. La propuesta se orienta a crear un sistema experto en la gestión de riesgos en espacios acuáticos naturales (playas), basado por un lado en una aplicación para la evaluación de riesgos, y por otro, en un sistema de registro y análisis de sucesos y accidentes. Esta herramienta debe permitir a los responsables de la gestión de la seguridad en zonas de baño una gestión adecuada y eficaz de los recursos preventivos para minimizar la probabilidad y severidad de riesgos que puedan afectar a la integridad física o a la salud de las personas, y en consecuencia, el aumento de la seguridad acuática en las costas. Objetivo del Proyecto: Desarrollar tecnologías para la identificación de riesgos en espacios acuáticos naturales con el objeto de prevenir ahogamientos y otros incidentes en zonas de playa. Financiación: Este proyecto ha sido cofinanciado por la Sociedad de Desarrollo Regional de Cantabria (SODERCAN) y el el Programa Operativo FEDER de Cantabria en el marco del programa denominado I+C= +C 2016 (Investigación + Conocimiento= +Cantabria) que tiene por objetivo el fortalecimiento del tejido industrial de la región. Inicio: 09/12/2016 Fin: 08/12/2018 Código Externo: ID16-IN-038 UNSPECIFIED UNSPECIFIED
PREVENT-SOS: Desarrollo de tecnologías para la identificación de riesgos en espacios acuáticos naturales.
Other
Subjects > Engineering
Subjects > Teaching Europe University of Atlantic > Research > Software
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español A pesar del gran incremento de la práctica deportiva en la sociedad occidental en los últimos años, aún hay, según fuentes de la UE, aproximadamente un 50% de la población europea que no hace ejercicio regularmente, lo que está generando un grave problema de salud, especialmente preocupante en la población infantil y juvenil. Del 50% de la población que hace deporte de forma regular, un porcentaje muy alto lo hace solo, en casa o en lugares abiertos públicos sin ninguna supervisión o control por parte de personal especializado, lo que conlleva un cierto riesgo de sufrir lesiones y/o patologías de diferente pronósticos. Ante esta situación compleja de tener la necesidad de promover la actividad física pero intentando aminorar el riesgo de la propia práctica, se propone el desarrollo de una aplicación móvil “freemium” que fomente el ejercicio y que integre una serie de tecnologías innovadoras para incorporar inteligencia artificial que aplicará sobre unos elementos de alerta que puedan generar avisos y geolocalizar al practicante de una forma rápida y eficaz. Entendemos que el desarrollo de este tipo de negocios de carácter tecnológico y de alto grado de responsabilidad social hacia la ciudadanía incrementará el tejido empresarial de Cantabria y generará nuevos puestos de trabajo estables y de alto nivel de formación. Las sinergias que se proponen con instituciones universitarias y de investigación fomentarán los ecosistemas profesionales relacionados con las nuevas tecnologías de la información, la salud y la seguridad. El objetivo de este sistema complejo que se propone es promover la actividad física segura de forma global. UNSPECIFIED UNSPECIFIED
Subjects > Teaching Europe University of Atlantic > Research > Software
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español A pesar del gran incremento de la práctica deportiva en la sociedad occidental en los últimos años, aún hay, según fuentes de la UE, aproximadamente un 50% de la población europea que no hace ejercicio regularmente, lo que está generando un grave problema de salud, especialmente preocupante en la población infantil y juvenil. Del 50% de la población que hace deporte de forma regular, un porcentaje muy alto lo hace solo, en casa o en lugares abiertos públicos sin ninguna supervisión o control por parte de personal especializado, lo que conlleva un cierto riesgo de sufrir lesiones y/o patologías de diferente pronósticos. Ante esta situación compleja de tener la necesidad de promover la actividad física pero intentando aminorar el riesgo de la propia práctica, se propone el desarrollo de una aplicación móvil “freemium” que fomente el ejercicio y que integre una serie de tecnologías innovadoras para incorporar inteligencia artificial que aplicará sobre unos elementos de alerta que puedan generar avisos y geolocalizar al practicante de una forma rápida y eficaz. Entendemos que el desarrollo de este tipo de negocios de carácter tecnológico y de alto grado de responsabilidad social hacia la ciudadanía incrementará el tejido empresarial de Cantabria y generará nuevos puestos de trabajo estables y de alto nivel de formación. Las sinergias que se proponen con instituciones universitarias y de investigación fomentarán los ecosistemas profesionales relacionados con las nuevas tecnologías de la información, la salud y la seguridad. El objetivo de este sistema complejo que se propone es promover la actividad física segura de forma global. UNSPECIFIED UNSPECIFIED
SMART ACTIVE LIFE: Desarrollo de tecnologías inteligentes para la promoción de la vida activa y segura.
This list was generated on Mon Jul 20 01:41:23 2026 UTC.