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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.
C
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.
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
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?
R
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.
S
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.
This list was generated on Sat Jul 11 01:50:28 2026 UTC.