Repositorio Universidad Europea del Atlántico
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A systematic review of deep learning methods for community detection in social networks
Full text linkIntroduction: The rapid expansion of generated data through social networks has introduced significant challenges, which underscores the need for advanced methods to analyze and interpret these complex systems. Deep learning has emerged as an effective approach, offering robust capabilities to process large datasets, and uncover intricate relationships and patterns.
Methods: In this systematic literature review, we explore research conducted over the past decade, focusing on the use of deep learning techniques for community detection in social networks. A total of 19 studies were carefully selected from reputable databases, including the ACM Library, Springer Link, Scopus, Science Direct, and IEEE Xplore. This review investigates the employed methodologies, evaluates their effectiveness, and discusses the challenges identified in these works.
Results: Our review shows that models like graph neural networks (GNNs), autoencoders, and convolutional neural networks (CNNs) are some of the most commonly used approaches for community detection. It also examines the variety of social networks, datasets, evaluation metrics, and employed frameworks in these studies.
Discussion: However, the analysis highlights several challenges, such as scalability, understanding how the models work (interpretability), and the need for solutions that can adapt to different types of networks. These issues stand out as important areas that need further attention and deeper research. This review provides meaningful insights for researchers working in social network analysis. It offers a detailed summary of recent developments, showcases the most impactful deep learning methods, and identifies key challenges that remain to be explored
(Re)connecting mind and body: Efficacy of mindfulness and self-compassion interventions for enhancing body image. A systematic review of randomized trials
No full textEvidence suggests that first- and second-generation mindfulness-based interventions (MBIs) can improve body image concerns in adolescents and adults. However, a systematic review of such interventions is lacking. The aim of this study is to synthesize evidence from randomized controlled trials evaluating the efficacy of both first- and second-generation MBIs in reducing negative body image and enhancing positive body image. Database searches were conducted in PubMed, CoChrane, Proquest Thesis & Dissertations and ScienceDirect up to August 2025, identifying 3394 records. After screening, 43 studies met eligibility criteria (n = 7979) and were evaluated for methodological quality following PRISMA guidelines. Of them, 16 (37.2 %) evaluated first-generation MBIs, while the remaining 27 studies (55.8 %) examined second-generation MBIs, with self-compassion being the most commonly used intervention. Only one study used both generations. Both first- and second-generation interventions demonstrated moderate to large effect sizes in most studies, with 94 % reporting significant improvements in at least one body image outcome. The methodological quality, assessed using the JBI tool, was rated as having either low risk of bias or some concerns in nearly 70 % of the studies. These findings highlight the global efficacy of MBIs for reducing negative body image and improving positive body image, while also underscoring the need for future research to employ more methodologically rigorous designs, multidimensional outcome measures, and greater inclusion of diverse sex, gender, and ethnic groups
Enhancing e-commerce logistics efficiency and sustainability via quantum computing and artificial intelligence-based quantum hybrid models
Full text linkThis study examines how quantum computing, quantum algorithms, and AI-quantum hybrid models enhance logistics efficiency and sustainability in e-commerce. Logistics optimization is analyzed to improve routing, scheduling, and resource allocation. The mixed-method design combines a cross-sectional survey of professionals with semi-structured interviews. Quantitative data were analyzed using structural equation modeling in SmartPLS, and qualitative data were thematically assessed. A perception-based analysis examined how professionals perceive quantum-based logistic models compared to traditional AI-driven approaches. Professionals believe that these models can enhance logistics optimization, increasing efficiency and sustainability. Respondents perceived that quantum models could outperform AI-driven approaches, particularly in routing and freight scheduling, but highlighted high implementation costs, limited expertise, and cross-industry collaboration. Logistic optimization mediates the relationship between quantum technology and performance outcomes. This study provides empirical evidence on industry perceptions and strategic guidance for firms considering quantum logistics. Quantum-enabled logistics enhance operational performance and support global sustainability goals. The findings underscore the opportunities and challenges of quantum logistics, offering guidance for research and adoption strategies
Contribución del Ejército Nacional de Colombia en el control de delitos ambientales y la restauración de ecosistemas
No full textNo ha sido cubierta a profundidad la participación prominente del Ejército Nacional de Colombia en materia de degradación ecológica y la pérdida de biodiversidad, aún menos dentro del contexto de la seguridad climática y ambiental. El objetivo del estudio fue analizar los esfuerzos de contribución del Ejército, en el control de la deforestación, el comercio ilegal de vida silvestre y otros delitos ambientales, así como las actividades de apoyo en la restauración de ecosistemas. La metodología cualitativa consistió en un diseño no experimental transeccional, con nivel descriptivo y enfoque de investigación-acción. Se aplicó una entrevista semiestructurada sobre una muestra convencional de 30 individuos, ya pertenecientes a sectores civiles y militares estratégicos con injerencia en la toma de decisiones sobre temas ambientales. Como principal hallazgo, se identificó que el Ejército posee desafíos vigentes y cruciales, esto con relación al desarrollo de regulaciones normativas y doctrina para la protección ambiental. Asimismo, quedaron develadas las limitaciones de capacidad técnica, planeación, ejecución, sostenimiento y seguimiento; en los ejercicios militares de apoyo para la rehabilitación de ecosistemas, lo cual demanda un fortalecimiento de la documentación y evaluación técnico-científica de los mencionados procesos. Se concluye que el Ejército Nacional de Colombia aporta una significativa generación de resiliencia climática en los territorios, ya haciendo mayor honor a su misión constitucional, como garante de la seguridad de la población y el desarrollo sostenible de la nación, todo esto como resultado de sus esfuerzos operacionales y logísticos para la protección y conservación de los ecosistemas y la biodiversidad
Métodos alternativos de resolução de conflitos e garantia à dignidade das vítimas de racismo no Brasil através da justiça restaurativa
No full textA presente pesquisa qualitativa investiga os métodos alternativos de resolução de conflitos, como a conciliação e a mediação, e sua eficácia na reparação de vítimas de racismo no Brasil, com foco em Salvador, Bahia. O estudo possui uma abordagem dedutiva que avalia as limitações do sistema judicial tradicional e propõe a justiça restaurativa como uma alternativa eficaz para garantir a dignidade das vítimas, promover o diálogo e alcançar a reparação integral. Metodologicamente, a pesquisa utiliza análise documental de casos de racismo, dados estatísticos de instituições relevantes e o referencial teórico de autores como Zehr (2002) e Almeida (2018). Os resultados indicam que, embora a conciliação e a mediação possam ser úteis em determinados contextos, a justiça restaurativa se mostra mais adequada para lidar com as dinâmicas de poder e o reconhecimento das vítimas de racismo. A pesquisa conclui que a justiça restaurativa oferece um espaço de diálogo inclusivo e transformador, mas ressalta a necessidade de treinamentos especializados para mediadores, pacificadores e de reformas estruturais mais amplas para combater o racismo em todas as esferas, inclusive, o institucional
A novel and efficient digital image steganography technique using least significant bit substitution
No full textSteganography is used to hide sensitive types of data including images, audio, text, and videos in an invisible way so that no one can detect it. Image-based steganography is a technique that uses images as a cover media for hiding and transmitting sensitive information over the internet. However, image-based steganography is a challenging task due to transparency, security, computational efficiency, tamper protection, payload, etc. Recently, different image steganography methods have been proposed but most of them have reliability issues. Therefore, to solve this issue, we propose an efficient technique based on the Least Significant Bit (LSB). The LSB substitution method minimizes the error rate in the embedding process and is used to achieve greater reliability. Our proposed image-based steganography algorithm incorporates LSB substitution with Magic Matrix, Multi-Level Encryption Algorithm (MLEA), Secret Key (SK), and transposition, flipping. We performed several experiments and the results show that our proposed technique is efficient and achieves efficient results. We tested a total of 165 different RGB images of various dimensions and sizes of hidden information, using various Quality Assessment Metrics (QAMs); A name of few are; Normalized Cross Correlation (NCC), Image Fidelity (IF), Peak Signal Noise Ratio (PSNR), Root Mean Square Error (RMSE), Quality Index (QI), Correlation Coefficient (CC), Structural Similarity Index (SSIM), Mean Square Error (MSE), Entropy, Contrast, and Homogeneity, Image Histogram (IH). We also conducted a comparative analysis with some existing methods as well as security analysis which showed better results. The achieved result demonstrates significant improvements over the current state-of-the-art methods
Olive Leaf Extracts With High, Medium, or Low Bioactive Compounds Content Differentially Modulate Alzheimer's Disease via Redox Biology
No full textAlzheimer's disease (AD) involves β-amyloid plaques and tau hyperphosphorylation, driven by oxidative stress and neuroinflammation. Cyclooxygenase-2 (COX-2) and acetylcholinesterase (AChE) activities exacerbate AD pathology. Olive leaf (OL) extracts, rich in bioactive compounds, offer potential therapeutic benefits. This study aimed to assess the anti-inflammatory, anti-cholinergic, and antioxidant effects of three OL extracts (low, mid, and high bioactive content) in vitro and their protective effects against AD-related proteinopathies in Caenorhabditis elegans models. OL extracts were characterized for phenolic composition, AChE and COX-2 inhibition, as well as antioxidant capacity. Their effects on intracellular and mitochondrial reactive oxygen species (ROS) were tested in C. elegans models expressing human Aβ and tau proteins. Gene expression analyses examined transcription factors (DAF-16, skinhead [SKN]-1) and their targets (superoxide dismutase [SOD]-2, SOD-3, GST-4, and heat shock protein [HSP]-16.2). High-OL extract demonstrated superior AChE and COX-2 inhibition and antioxidant capacity. Low- and high-OL extracts reduced Aβ aggregation, ROS levels, and proteotoxicity via SKN-1/NRF-2 and DAF-16/FOXO pathways, whereas mid-OL showed moderate effects through proteostasis modulation. In tau models, low- and high-OL extracts mitigated mitochondrial ROS levels via SOD-2 but had limited effects on intracellular ROS levels. High-OL extract also increased GST-4 levels, whereas low and mid extracts enhanced GST-4 levels. OL extracts protect against AD-related proteinopathies by modulating oxidative stress, inflammation, and proteostasis. High-OL extract showed the most promise for nutraceutical development due to its robust phenolic profile and activation of key antioxidant pathways. Further research is needed to confirm long-term efficacy
Coffee and Oxidative Stress
No full textOxidative stress and inflammation are two of the main risk factors for the onset and progression of many common human pathologies, including metabolic disorders, cardiovascular diseases and some types of cancer. A successful strategy to reduce the chronic state of oxidative stress and inflammation could be the adoption of a healthy diet, enriched with food and beverages with well-known antioxidant and anti-inflammatory compounds. Coffee, one of the most common beverages in the world, is a very complex mixture of more than one thousand bioactive compounds, which play a key role in human health, thanks to their antioxidant and anti-inflammatory activities. In this chapter, the most important results obtained from human studies evaluating the effects of coffee consumption on the main biomarkers of oxidative stress and inflammation will be presented and discussed
A phenol-interference decoupling method for hydroxyl-sanshools detection based on a modified electrode with magnesium-aluminum layered double hydroxide
No full textIn this work, a glassy carbon electrode modified with magnesium-aluminum layered double hydroxide (MgAl-LDH) was proposed to enhance the precision of hydroxy-sanshools quantification by mitigating polyphenol interference commonly found in the Zanthoxylum bungeanum pericarp during voltammetric assays. It was demonstrated that the MgAl-LDH-modified glassy carbon electrode effectively avoided the impact of polyphenols on hydroxy-sanshools by recovering their differential pulse voltammetric responses. Furthermore, the optimized method successfully quantified total hydroxy-sanshools in the linear range of 0.20–100.21 mg/g with good sensitivity (limit of detection and limit of quantification were 0.055 mg/L and 0.18 mg/L, respectively), and with recovery ranged from 95.66 % to 108.20 %. The intra-day and interday relative standard deviations were in the range of 0.43–3.13 % and 1.48–4.56 %, respectively. Additionally, the practicality of the developed approach was validated by quantifying hydroxy-sanshools in commercial Zanthoxylum bungeanum pericarp-related products, with results closely matching those obtained by high-performance liquid chromatography. These data reveals that the developed MgAl-LDH offers a novel strategy for modifying electrodes with high selectivity for the rapid monitoring of pungent substances in Zanthoxylum bungeanum pericarp
Strawberry as a health promoter: an evidence-based review. Where are we 10 years later?
No full textStrawberries 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