Repositorio Universidad Europea del Atlántico
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Diet, Eating Habits, and Lifestyle Factors Associated with Adequate Sleep Duration in Children and Adolescents Living in 5 Mediterranean Countries: The DELICIOUS Project
Full text linkBackground/Objectives: Sleep is a fundamental physiological function that plays a crucial role in maintaining health and well-being. The aim of this study was to assess dietary and lifestyle factors associated with adequate sleep duration in children and adolescents living in five Mediterranean countries. Methods: Parents of children and adolescents taking part in an initial survey for the DELICIOUS project were examined to assess their children’s dietary and eating habits (i.e., meal routines), as well as other lifestyle behaviors (i.e., physical activity levels, screen time, etc.) potentially associated with adequate sleep duration (defined as 8–10 h according to the National Sleep Foundation). The youth healthy eating index (Y-HEI) was used to assess the diet quality of children and adolescents. Multivariate logistic regression analyses were performed to calculate the odds ratios (ORs) and 95% confidence intervals (CIs), indicating the level of association between variables. Results: A total of 2011 individuals participated in the survey. The adolescents and children of younger parents reported being more likely to have inadequate sleep duration. Among eating behaviors, having breakfast (OR = 2.23, 95% CI: 1.62, 3.08) and eating at school (OR = 1.33, 95% CI: 1.01, 1.74) were associated with adequate sleep duration. In contrast, children eating alone, screen time, and eating outside of the home were less likely to have adequate sleep duration, although these findings were only significant in the unadjusted model. After adjusting for covariates, a better diet quality (OR = 1.63, 95% CI: 1.24, 2.16), including higher intake of fruits, meat, fish, and whole grains, was associated with adequate sleep duration. Conclusions: Adequate sleep duration seems to be highly influenced by factors related to individual lifestyles, family and school eating behaviors, as well as diet quality
More than Socio- and Geo-demographics: How Complementary Education and Business Experience Shape Students' Financial Behaviour in Europe
Full text linkAlthough financial literacy would seem relevant to university students’ education, it is not currently offered as a transversal subject within European academic curricula. It should therefore come as no surprise that a common solution are ad-hoc specific courses, with students often additionally acquiring valuable learning through their own experiences in business environments. With this and the recent literature on the drivers of financial literacy in mind, the authors decided to explore the context shaped by socio-demographic, academic and work-related factors that either promote or prevent European university students from developing appropriate financial skills, such as managing personal finances, planning for short- and long-term needs, and distinguishing among different sources of non-traditional funding. The study used a sample of 881 undergraduate and postgraduate university students from Romania, Poland and Spain from different studies, with information obtained through an anonymous online survey. The applied econometric model was cumulative regression with location-scale estimation using the R software, version 4.3.2, with variables associated directly with the development of basic financial skills being age, gender, country, but also specific training as well as work and entrepreneurial experience. The authors stress the importance of providing financial management education connected to the reality, especially the business and entrepreneurial environment
Single-cell omics for nutrition research: an emerging opportunity for human-centric investigations
No full textUnderstanding 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
Novel transfer learning based bone fracture detection using radiographic images
No full textA bone fracture is a medical condition characterized by a partial or complete break in the continuity of the bone. Fractures are primarily caused by injuries and accidents, affecting millions of people worldwide. The healing process for a fracture can take anywhere from one month to one year, leading to significant economic and psychological challenges for patients. The detection of bone fractures is crucial, and radiographic images are often relied on for accurate assessment. An efficient neural network method is essential for the early detection and timely treatment of fractures. In this study, we propose a novel transfer learning-based approach called MobLG-Net for feature engineering purposes. Initially, the spatial features are extracted from bone X-ray images using a transfer model, MobileNet, and then input into a tree-based light gradient boosting machine (LGBM) model for the generation of class probability features. Several machine learning (ML) techniques are applied to the subsets of newly generated transfer features to compare the results. K-nearest neighbor (KNN), LGBM, logistic regression (LR), and random forest (RF) are implemented using the novel features with optimized hyperparameters. The LGBM and LR models trained on proposed MobLG-Net (MobileNet-LGBM) based features outperformed others, achieving an accuracy of 99% in predicting bone fractures. A cross-validation mechanism is used to evaluate the performance of each model. The proposed study can improve the detection of bone fractures using X-ray images
Estrategias para desarrollar la comprensión auditiva: Un estudio de caso de un estudiante de ELE
No full textEste trabajo investiga estrategias efectivas para mejorar la comprensión auditiva en español como lengua extranjera (ELE) a través de un estudio de caso de un estudiante adulto en un contexto de aprendizaje en línea e individualizado. Realizado durante un período de tres meses, el estudio se centra en un estudiante del Programa del Diploma del Bachillerato Internacional (IB) en un nivel ab initio, con el objetivo de alcanzar una competencia B1. La investigación emplea una metodología cualitativa de investigación-acción, utilizando entrevistas, observaciones en el aula y registros de progreso para evaluar el impacto de estrategias pedagógicas personalizadas. Las estrategias clave implementadas incluyen la escucha activa, el uso de materiales auténticos, la repetición y segmentación de audios, tareas de escucha predictiva y apoyo visual. Los resultados indican una mejora significativa en la capacidad del estudiante para comprender el habla rápida, diversos acentos y expresiones idiomáticas, junto con un aumento en la confianza en sus habilidades auditivas en español. Los hallazgos se alinean con teorías establecidas (por ejemplo, Field, 2008; Vandergrift & Goh, 2012) y destacan el valor de enfoques personalizados y sensibles al contexto en la enseñanza de ELE. Se ofrecen recomendaciones prácticas para los educadores, como integrar recursos auténticos, adaptar estrategias a las necesidades individuales y fomentar la flexibilidad en la planificación de lecciones. Por otro lado, también señala limitaciones como su corta duración y su enfoque en un solo caso, proponiendo investigaciones futuras sobre efectos a largo plazo, perfiles de estudiantes diversos y métodos mejorados con tecnología. Este trabajo contribuye al campo del ELE al ofrecer perspectivas prácticas para mejorar la comprensión auditiva en entornos de aprendizaje virtuales
Client engagement solution for post implementation issues in software industry using blockchain
Full text linkIn the rapidly advanced and evolving information technology industry, adequate client engagement plays a critical role as it is very important to understand the client’s concerns, and requirements, have the records, authorizations, and go-ahead of previously agreed requirements, and provide the feasible solution accordingly. Previously multiple solutions have been proposed to enhance the efficiency of client engagement, but they lack traceability, trust, transparency, and conflict in agreements of previous contracts. Due to the lack of these shortcomings, the client requirement is getting delayed which is causing client escalations, integrity issues, project failure, and penalties. In this study, we proposed the UniferCollab framework to overcome the issues of collaboration between various teams, transparency, the record of client authorizations, and the go-ahead on previous developments by implementing blockchain technology. We store the data on the permissible network in the proposed approach. It allows us to compile all the requirements and information shared by clients on permissible blockchain to secure a large amount of data which enhances the traceability of all the requirements. All the authorizations from the client generate push notifications for any changes in their current system executed through smart contracts. It removes the ambiguity between various development teams if the client has only shared the requirement with one team. The data is stored in the decentralized network from where information is gathered which resolves the traceability, transparency, and trust issues. Lastly, evaluations involved a total of 800 hypertext transfer protocol (HTTP) requests tested using Postman with blockchain block sizes ranging from 0.568 KB to 550 KB and an average size increase of 280 KB was observed as new blocks were added. The longest chain in the network was observed during 800 repetitions of blockchain operations. Latency analysis revealed that delays in processing HTTP requests were influenced by decentralized node processing, local machine response times, and internet bandwidth through various experiments. Results show that the proposed framework resolves all client engagement issues in implementation between all stakeholders which enhances trust, and transparency improves client experience and helps us manage disputes effectively
Impacto de la actividad física orientada en el desarrollo psicomotor durante la primera infancia
Full text linkLa actividad física practicada de forma regular antes de los primeros 36 meses de vida es un aspecto crucial a la hora de establecer las bases de las destrezas motoras necesarias en los niños, beneficiando de esta forma, su desarrollo físico, social y cognitivo. El objetivo de este estudio consistió en comprobar si la práctica de actividad física orientada durante la primera infancia presentaba beneficios en el desarrollo psicomotor en una muestra de niños con edades comprendidas entre los 0-3 años pertenecientes a la Comunidad de Cantabria. La muestra estuvo compuesta por dos escuelas infantiles que previamente promovían el movimiento libre: el grupo intervención, compuesto por alumnos del Centro Infantil Chiquitín (n=23) dónde se llevó a cabo un programa de actividad física orientada destinado a la mejora del desarrollo motor y el grupo control, compuesto por alumnos del Centro Infantil La Cucaña (n=14) a quiénes se instó a que mantuviesen las mismas actividades que hasta el momento. Ambos grupos realizaron un pre-post utilizando un test ad hoc, basado en los hitos evolutivos del Test de Denver. Los resultados demuestran mejoras en ambos grupos fruto del proceso de maduración biológica y fisiológica de los niños, aunque solamente fueron significativas (p < .001) en el grupo intervención en comparación con el grupo control. Se concluye que la práctica de actividad física orientada desde temprana edad puede tener un impacto positivo en el desarrollo motor de los niños, siendo determinante éste para la prevención de enfermedades crónicas y un buen estado de salud general
Health Benefits and Uses of Honey in Medicine
No full textHoney has been used to treat a broad spectrum of injuries, including chronic wounds and burns, since ancient times. It is a widely available folk remedy with pronounced antibacterial, antibiofilm, anti-inflammatory, and reepithelialization properties. Characterization of its wound-healing properties and description of mechanisms of action allow its use in clinical practice. Indeed, medical-grade honey and its related products are used in wound care to prove clinical efficacy and safety. To increase its further clinical use, it is necessary to elucidate the honey-mediated wound-healing process in detail. This chapter aims to characterize recent advancements in the in vitro antimicrobial, anti-inflammatory, and wound-healing properties of honey and in clinical testing of medical-grade honey. Although an increasing number of clinical trials using honey as a wound remedy have been conducted, there is inconclusive evidence that honey is superior to standard care and/or other wound care products. Nevertheless, honey was shown to speed up the healing process and is the ideal wound dressing, positively affecting the entire process of wound healing. However, further research and clinical testing are needed to determine the overall efficacy of honey in wound care management
A parameter centric service discovery framework for social digital twins in smart City
Full text linkIn the contemporary digital era, the Internet of Things (IoT) and its applications have proliferated extensively, particularly within smart city environments, resulting in increased network traffic and raising the significance of efficient service discovery (SD) mechanisms. The social Internet of Things (SIoT) is an emerging paradigm that enables IoT devices to autonomously establish social relationships based on rules defined by their owners, thereby enhancing services through social relations. Things can interact with others; thus, the huge volume of traffic is increased. Each node or device could select an appropriate peer for the discovery of services, which is thus helpful for human beings. Although numerous service discovery and query processing models have been proposed in the recent literature. However, the existing state-of-the-art approaches often lack a comprehensive analysis of the parameters. Most traditional state-of-the-art models primarily focus on relationships or device similarity. Also neglecting the vital factors, for instance, query processing, efficiency, spatial-temporal dynamics, and service provisioning, etc. Thus, to solve this issue, this research proposes an exhaustive analysis of the main parameters needed to implement service discovery mechanisms for Social IoT and studies their relative importance based on a dataset of real objects. Based on the advanced parameters’ selection, an efficient service discovery algorithm is proposed. The proposed model emphasizes efficiency by optimizing the service discovery through reduced social graph traversal (i.e., fewer hops), consideration of the service types, and integration of caching mechanisms. We have conducted a comprehensive analysis of key parameters essential for implementing an effective service discovery mechanism in SIoT, prioritizing based on their importance. Experimental validation demonstrates the superiority of the proposed over state-of-the-art models, confirming its efficacy, scalability
Anti-atherogenic immune checkpoint TIM-3 as a promising pharmacologic target toward ischemic heart diseases: a prospective review
No full textRecently, immunogene therapy has been of great interest in cardiovascular diseases. In this regard, various immune checkpoint inhibitors (ICIs) are identified to have a crucial role in regulating inflammatory responses. The T-cell immunoglobulin and mucin-domain containing molecule-3 (TIM-3, CD366), a relatively newly discovered group of molecules with a conserved structure, has emerged as a critical immune checkpoint with significant regulatory roles in cardiovascular inflammation and atherosclerosis. This prospective review explores the importance of TIM-3 in modulating immune responses relevant to ischemic heart diseases (IHD), highlighting its interactions with inflammatory pathways such as Toll-like receptor-4 (TLR-4). TIM-3, predominantly expressed on T cells, dendritic cells, and monocytes, acts as an inhibitory receptor that quenches pro-inflammatory signaling, particularly upon binding to ligands like galectin-9. Noteworthy, recent evidence suggests that TIM-3 deficiency or dysregulation can exacerbate inflammatory cascades, contributing to the progression of IHD and related complications. Here, the therapeutic potential of targeting TIM-3 for the management of IHD, especially in the settings of systemic inflammation and post-operative complications, has been discussed. By elucidating the molecular mechanisms and translational prospects of TIM-3 modulation, this work proposes new avenues for immunotherapeutic intervention in cardiovascular disease and post-operative SIRS, warranting further research in clinical trials