Search Results (5,143)

Maritime communication systems are among the most important infrastructure of global maritime safety and security. They consist of very high frequency (VHF) radio, the Global Maritime Distress and Safety System (GMDSS), contemporary satellite nets, Automatic Identification System (AIS) networks, and the emerging VHF Data Exchange System (VDES). These systems are essential for distress signaling, navigational coordination, and vessel traffic management. As maritime operations are experiencing accelerated digitalisation, the safety and security dimensions of maritime communication systems have attracted substantial and growing scientific attention. This study presents a comprehensive literature review and bibliometric analysis of the safety and security of maritime communication systems. Guided by the PRISMA 2020 guidelines and Systematic Literature Review (SLR) methodology, a structured search was conducted across three major scientific databases: Scopus, Web of Science (WoS), and IEEE Xplore. Starting from a raw pool of 6648 records retrieved between 2000 and 2026, the dataset was reduced through successive filtering to a final body of 68 high-relevance publications. Bibliometric analysis reveals a significant upward publication trend from 2015 onwards, with a marked acceleration after 2019. Thematic analysis identifies seven principal research clusters: GMDSS modernisation, AIS safety and security, VDES and VHF next-generation systems, maritime cybersecurity, satellite communications, risk assessment frameworks, and emerging technologies, including artificial intelligence and autonomous vessel communications. The review identifies significant research gaps, including the absence of integrated cross-system risk frameworks, insufficient attention to human factors in cybersecurity, limited studies addressing emerging regulatory, legal governance components and a brief analysis of the maritime communications market. This study provides a structured foundation for future research and policy development in maritime communication security. Full article

Cancer patients receiving systemic therapy experience substantial treatment-related symptoms. Nurse-led digital health interventions, e.g., interactive voice response systems, web platforms, mobile apps, and telehealth, have emerged as strategies to strengthen supportive care. To evaluate its effectiveness, this systematic review summarizes evidence exclusively from randomized controlled trials (RCTs). Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, four databases were searched from inception to January 2025 for eligible RCTs involving adults undergoing anticancer therapy; evaluating nurse-led or nurse-co-led interventions using digital or telecommunication technologies; reporting validated symptom or health-related quality of life (HRQoL) outcomes. Risk of bias was assessed. Nine RCTs (N = 3344) met criteria; seven had low risk of bias. Interventions using telephone systems, web portals, mobile apps, or videoconferencing reduced symptom burden and improved HRQoL. The Symptom Care at Home system reduced symptom burden by ~43%, with greatest effects from combined automated monitoring and nurse practitioner follow-up. Additional benefits included improved anxiety, self-efficacy, patient participation, fewer severe toxicities and hospitalization days. In conclusion, nurse-led digital interventions effectively reduce symptom burden and support HRQoL during systemic therapy. Multicomponent models integrating automated monitoring with structured nursing follow-up and decision support appear most beneficial. Full article

Background: Rosacea is a chronic inflammatory dermatosis characterized by vascular dysregulation, immune dysfunction, neurovascular alterations, and microbial involvement. Recent advances in understanding its pathophysiology have led to the development of targeted therapeutic strategies addressing multiple disease mechanisms. This systematic review aimed to evaluate contemporary evidence regarding emerging and established treatment approaches for rosacea. Methods: A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed, Scopus, and Web of Science were searched for studies published between 2016 and 2025. Original human studies evaluating therapeutic interventions for rosacea were included. Study selection, data extraction, and risk-of-bias assessment were performed independently by two reviewers. Methodological quality was assessed using Joanna Briggs Institute (JBI) critical appraisal tools appropriate for each study design. Results: Fifteen studies involving 537 patients with rosacea and 77 controls (614 participants in total) met the eligibility criteria. Evaluated interventions included vascular-targeted therapies, topical anti-inflammatory agents, systemic and immunomodulatory treatments, and microbiome-oriented approaches. Oxymetazoline, pulsed-dye laser, platelet-rich plasma, ivermectin, azelaic acid, dapsone, sulfur preparations, and metronidazole demonstrated clinical benefits in reducing erythema, inflammatory lesions, or overall disease severity. Emerging therapies, including tofacitinib and oral ivermectin, showed promising results in refractory disease. Microbiome-related interventions, particularly Demodex-targeted therapies and Helicobacter pylori eradication, were also associated with clinical improvement. Risk-of-bias assessment identified two studies with low risk of bias, twelve with moderate risk of bias, and one study with high risk of bias. Conclusions: Current evidence supports a multimodal and mechanism-based approach to rosacea management, integrating vascular, inflammatory, immunological, and microbiological targets. However, the available evidence remains limited by small sample sizes, heterogeneous methodologies, short follow-up periods, and a predominance of non-randomized study designs. Large, well-designed randomized controlled trials are needed to establish optimal evidence-based treatment strategies and define the long-term efficacy and safety of emerging therapies. Full article

Aim: Self-stigma represents a major barrier to recovery among individuals with severe mental illness (SMI). This review aimed to identify and synthesize the available evidence on the effectiveness of non-pharmacological interventions for reducing self-stigma in adults with SMI, while also exploring physical appearance care as a potentially relevant but under-researched area. Methods: A systematic review and meta-analysis were conducted in accordance with PRISMA guidelines and the Cochrane Handbook recommendations. The review protocol was registered in PROSPERO (CRD420251013333). Data Sources: A comprehensive search was conducted across multiple databases, including the Virtual Health Library, PubMed, Web of Science, the Cochrane Library, and EBSCOhost databases. A snowball search of reference lists was also performed. Studies published in English or Spanish within the past ten years were included. Review Methods: Two independent reviewers screened titles, abstracts, and full texts according to predefined criteria. Methodological quality was assessed using the Critical Appraisal Skills Programme España (CASPe). A qualitative synthesis was conducted for all included studies, and a random-effects meta-analysis was performed for studies providing sufficient quantitative data. Standardized mean differences and heterogeneity statistics were calculated. Results: Twenty-eight studies were included in the qualitative synthesis, and twelve were eligible for meta-analysis. Multicomponent interventions integrating psychoeducation, cognitive restructuring, narrative approaches, and social support showed the most consistent effects across the evaluated outcome domains. Meta-analytic findings indicated small-to-moderate reductions in self-stigma and improvements in hope, with low levels of statistical heterogeneity across outcomes. Effects on self-esteem, quality of life, self-efficacy, and psychiatric symptomatology were limited or inconsistent across studies. No studies specifically evaluated interventions focused on physical appearance care. Conclusions: Non-pharmacological interventions appear to produce modest but potentially meaningful reductions in self-stigma among individuals with SMI, particularly when delivered through multicomponent psychosocial approaches that integrate psychoeducation, cognitive restructuring, narrative techniques, and social support. Full article

In modern multistory buildings, integrating beam web openings adjacent to beam–column connections (BCCs) is frequently required to accommodate utility ducts and piping. While this optimizes clear story height, it drastically alters the stress distribution within the BCCs under seismic loading. Consequently, this study evaluates the seismic performance of twenty-one exterior BCCs, with particular emphasis on the coupled effects of opening configuration (size and location) and concrete type: normal strength concrete (NSC, f_c′ = 25 MPa), high-strength concrete (HSC, f_c′ = 80 MPa), and ultra-high-strength concrete (UHPC, f_c′ = 120 MPa). For BCC specimens without openings, upgrading from NSC to HSC and UHPC increased the failure load (P_f) by about 66.67% and 111.11%, and the ultimate capacity (P_u) by 61.54% and 100.0%, respectively. Conversely, web openings reduced the (P_u) of HSC specimens by 14–34%, and UHPC specimens by 12–31%, respectively, when compared to the reference specimens without openings. Furthermore, the presence of web openings compromised cumulative energy dissipation capacity by 16–36% for (NSC), 13–31% for (HSC), and 12–28% for (UHPC), compared with the corresponding reference specimens without openings. Although HSC and UHPC provided superior absolute energy performance, they did not eliminate the structural deficiencies associated with openings positioned adjacent to the joint core. Consequently, a critical threshold value of S/D ≥ 0.5 (where S represents the distance from the column face to the edge of the opening, and D denotes the beam depth), is recommended for HSC and UHPC. In contrast, conventional NSC strictly requires a more conservative limit of S/D ≥ 1.0 to prevent severe cyclic shear degradation near the high-stress region. Full article

Following the PRISMA-ScR framework for scoping reviews, we systematically searched five databases (Scopus, IEEE Xplore, ScienceDirect, SpringerLink, Web of Science) using a Boolean query combining real-time processing, 3D reconstruction, and deformation modelling terms. From 86 records identified, 56 peer-reviewed publications (2009–2025) were retained after two-stage screening and organized into a unified taxonomy covering sensing modalities (RGB-D, LiDAR, tactile), reconstruction pipelines (volumetric fusion, NRSfM, neural radiance fields), and deformation models (FEM, PBD, mass-spring, GNN-based surrogates, differentiable simulators). Of the 56 included works, 60% were published between 2022 and 2025, confirming the field’s rapid growth. Neural and implicit representations account for 20% of contributions, FEM-based methods for 16%, and hybrid or application-specific pipelines for 21%. Four systemic gaps emerge: the absence of a unified physics-aware benchmark; unresolved speed–accuracy trade-offs (PBD achieves >30 FPS on desktop GPUs for 10³–10⁴ vertex meshes but lacks mapping to physical material constants (Young’s modulus, Poisson’s ratio), limiting material fidelity; full-order FEM ensures physically consistent stress–strain behavior but runs at only 1–10 FPS without order reduction; reduced-order FEM recovers interactive rates for low-frequency deformation modes); fragile handling of occlusions and multi-object contact; and limited end-to-end integration of sensing and simulation. The findings support the presentation of a research roadmap centered on model order reduction, differentiable physics, multimodal sensing fusion, and standardized evaluation protocols, with implications for robust digital twins of deformable environments. Full article

Background: AI-supported game-based learning (AI-GBL) integrates artificial intelligence mechanisms, including adaptive difficulty adjustment, large language model (LLM) scaffolding, intelligent non-player characters (NPCs), and stealth assessment, into game-based educational environments. Objective: This systematic review synthesizes the empirical evidence on AI-GBL effectiveness, adaptive mechanisms, and intelligent assessment approaches across diverse educational contexts. Method: Following PRISMA 2020 guidelines, 55 peer-reviewed empirical studies (2021–2026) were identified from Web of Science and Scopus databases. Two independent reviewers screened records (κ = 0.89; 100% consensus on disagreements), extracted data using a standardized coding scheme, and assessed methodological quality using a five-criterion rubric. A thematic synthesis approach was adopted due to the heterogeneity of the evidence base. Results: The reviewed studies generally suggest promising positive effects of AI-GBL on knowledge acquisition, intrinsic motivation, and affective engagement under a range of educational conditions. LLM-based scaffolding reduces cognitive load but risks fostering passive dependency; adaptive difficulty adjustment benefits depend critically on the direction and magnitude of adaptation; AI NPCs function as credible instructional partners in both EFL and STEM contexts; stealth assessment achieves AUCs of 0.848–0.913. Challenges include algorithmic bias in assessment models, LLM latency, over-reliance risks, and a near absence of longitudinal evidence. Conclusions: AI-GBL’s effectiveness rests on principled alignment between AI mechanisms and learning theory rather than algorithmic sophistication per se. Equity-by-design approaches and longitudinal evidence constitute the field’s priority research needs. Full article

Inulin-type fructans are widely recognized as functional polysaccharides with prebiotic properties, while plant polyphenols represent one of the most important classes of natural antioxidants. Increasing evidence demonstrates that interactions between dietary fibers such as inulin and phenolic compounds significantly influence antioxidant capacity, bioavailability, and physiological activity. The present review integrates recent advances regarding the chemical structure of inulin, extraction sources, molecular interactions with polyphenols, and implications for antioxidant activity in functional foods and nutraceuticals. Experimental studies indicate correlations between inulin concentration and antioxidant parameters such as DPPH, FRAP, SOD and CAT activities. Furthermore, physicochemical interactions between cell wall polysaccharides and polyphenols influence the stability, release kinetics and bioefficacy of antioxidant compounds. These findings support the potential development of optimized functional formulations combining inulin-rich plant extracts with polyphenol sources for improved health benefits. The literature was identified through searches of PubMed, Scopus and Web of Science databases (2000–2026). Full article

Problem sets are widely used in economics education, but the availability of generative artificial intelligence creates new challenges for assessment validity and academic integrity. This study conducts a rating-based benchmarking evaluation of GPT-4o on introductory economics problem-set items. Using 260 rated questions and three independent instructor ratings per item, we examine how GPT-4o performance varies across discussion, numerical, graphical and mixed-modality questions. The study is descriptive rather than causal: it benchmarks GPT-4o outputs under a specified prompting, input-modality and scoring protocol. All items were submitted through the ChatGPT web interface in fresh sessions, each item was answered once, graphical items were provided through uploaded original diagram images, no follow-up prompts were used, and outputs were saved without editing. Results show that GPT-4o performs comparatively well on text-based discussion and numerical-only items, but substantially less well on graphical items, especially those requiring numerical reasoning grounded in a graph. Inter-rater reliability is high according to intraclass correlation coefficients, and pooled rater–item analyses confirm the graphical and graphical–numerical performance gap as a descriptive benchmark pattern. To improve reproducibility while respecting copyright restrictions, the revised manuscript specifies the prompting protocol, coding procedure, rater procedure and supplementary replication files. The findings suggest that economics instructors should not simply add graphical questions as an “AI-proof” device, but should design constructively aligned, accessible, mixed-format assessments that validly sample intended economic reasoning skills. The conclusions are restricted to GPT-4o, the February–June 2025 testing window, the ChatGPT web-interface protocol and the item corpus used in this study. Full article

Background: Kidney transplantation is the preferred treatment for end-stage kidney disease (ESKD), but long-term outcomes remain limited by chronic allograft injury, infections, metabolic complications, and cardiovascular risk. Gut microbiota alterations and microbiota-derived metabolites may influence immune regulation, inflammation, drug metabolism, and graft outcomes through the gut–kidney axis. This review summarizes evidence on the gut microbiota in kidney transplantation, emphasizing immune tolerance, complications, cardiovascular risk, graft function, and perspectives. Methods: A structured search was conducted in PubMed, Scopus, and Web of Science to May 2026. Eligible publications included studies involving kidney transplant recipients (KTR), kidney disease or solid organ transplant populations, and mechanistic models. Evidence was synthesized narratively. Results: Gut microbiota alterations in KTR reflect pre-transplant dysbiosis and post-transplant exposures, including antibiotics, immunosuppression, infection, diet, hospitalization, and graft function. Dietary factors and nutrient-derived substrates may modulate microbial composition and production of relevant metabolites, including short-chain fatty acids (SCFAs), trimethylamine N-oxide (TMAO), tryptophan-derived compounds, bile acid derivatives, and uremic toxins. Microbiota-related pathways may involve barrier dysfunction, microbial translocation, innate immune activation, altered regulatory T cell/T helper 17 (Treg/Th17) balance, metabolite signaling, uremic toxin generation, and endothelial stress. Clinical studies associate dysbiosis and microbial metabolites with diarrhea, infections, delayed graft function (DGF), rejection-related shifts, tacrolimus variability, cardiovascular risk, graft dysfunction, graft failure, and mortality. Most findings need validation. Conclusions: Gut microbiota signatures and microbial metabolites are promising markers of transplant-related risk, but not established causal determinants or therapeutic targets. Clinical translation requires standardized methods, multi-omics integration, and prospective patient- and graft-centered trials. Full article

Ochratoxin A (OTA) is a prevalent foodborne mycotoxin that has been increasingly recognized as a potential environmental contributor to neurodegenerative diseases. Despite extensive research, a systematic integration of how OTA replicates the specific pathological hallmarks of Alzheimer’s Disease (AD) is currently lacking. This study provides a comprehensive systematic review of the mechanistic evidence linking OTA exposure to AD-related pathways, utilizing the Adverse Outcome Pathway (AOP) framework to categorize complex toxicological data into biological key events (KEs). A systematic literature search was conducted across PubMed, Scopus, and Web of Science. A total of 24 peer-reviewed articles were selected for synthesis, comprising 14 in vitro studies and 10 in vivo investigations. The integrated evidence demonstrates that OTA exposure triggers a robust toxicological cascade that replicates several key mechanistic pathways associated with AD in experimental models. Early molecular triggers involve significant redox imbalance and mitochondrial bioenergetic failure, which serve as catalysts for sustained neuroinflammation and microglial activation. In vivo data, from multiple animal models, consistently show that these cellular dysfunctions culminate in structural damage. This systematic integration provides a clearer roadmap for future risk assessment and emphasizes the urgent need for refined regulatory guidelines to protect neurological health from chronic mycotoxin exposure. Full article

Background: Public healthcare systems face persistent workforce retention challenges that undermine service continuity, organizational resilience, and public value creation. Although leadership is frequently identified as a relevant lever, the literature remains theoretically fragmented and often treats leadership effects as direct and context-free. Methods: This review adopts a PRISMA-guided systematic literature review as a theory-building strategy. Searches were conducted in Web of Science, Scopus, and PubMed using combinations of terms related to leadership, organizational commitment, job satisfaction, turnover intention, and retention in healthcare settings. The review identified 640 records, removed 372 duplicates, screened 268 titles and abstracts, assessed 90 full-text records for eligibility, and retained 30 peer-reviewed studies for configurative synthesis. The analysis combined thematic synthesis with configurative mapping to identify mechanisms, recurring patterns, and contextual contingencies. Results: The review shows three consistent patterns. First, leadership is linked to retention predominantly through organizational commitment, especially affective and normative commitment, rather than through direct effects. Second, institutional and organizational conditions—particularly red tape and working conditions—shape the strength of leadership–commitment relationships. Third, workforce heterogeneity, including generational differences, affects how leadership practices and organizational environments are interpreted, although these dynamics are rarely theorized explicitly in the literature. Conclusions: The article develops a governance-sensitive integrative framework in which people-centered leadership influences turnover intentions indirectly through organizational commitment, while red tape and working conditions operate as contextual moderators. By embedding leadership within Public Administration and governance theory, the review clarifies the literature’s main explanatory gap and provides a foundation for comparative empirical testing and for more sustainable workforce strategies in public healthcare systems. Full article

This study analyzes formative research as a pedagogical resource for teaching scientific logic in higher education from a constructivist perspective. The purpose of the article is to examine how formative research contributes to the development of scientific reasoning, critical thinking, and analytical skills among university students through active, reflective, and contextually grounded learning processes. The study is an exploratory narrative/documentary literature review. The initial bibliographic search identified 105 scientific documents published between 2000 and 2025 in indexed databases such as Scopus, Web of Science, SciELO, Taylor & Francis, MDPI, ResearchGate, Redalyc, and RENATI. After duplicates were removed and inclusion and exclusion criteria were applied, 54 studies were selected for the final analysis. A two-way documentary analysis matrix was used to identify conceptual relationships among constructivism, reflection-in-action, mental representations, induction and deduction, and their contributions to scientific logic. The findings show that formative research strengthens scientific logic by promoting active knowledge construction, critical reflection, problem-solving, and argumentative reasoning. The contributions of Piaget, Vygotsky, Bruner, Schön, and Fosnot demonstrate that scientific thinking develops through interaction, inquiry, contextualized learning, and reflective practice. Inductive and deductive reasoning were also identified as complementary mechanisms for developing analytical and interpretive competencies in university education. The study proposes that formative research should be considered a central pedagogical strategy in higher education because it facilitates the integration of scientific reasoning, reflective learning, and research-based teaching. Finally, an operational formative research program based on a holistic student development approach is proposed to foster scientific reasoning, intellectual autonomy, and the formation of more critical, reflective, and scientifically competent university students. Full article

Lung diseases are among the leading global causes of morbidity and mortality, and existing reviews on deep learning (DL) for pulmonary diagnosis rarely integrate imaging, acoustic, and electronic health record (EHR) modalities within a single framework. We aimed to synthesize the state of the art (2019–2024) in multimodal DL for lung disease detection and classification, identifying dominant architectures, performance benchmarks, and translational barriers across chest X-rays, CT scans, respiratory sounds, and EHRs. A structured narrative review was conducted using PubMed, Scopus, IEEE Xplore, and Web of Science, applying explicit inclusion criteria for peer-reviewed studies; performance metrics, dataset characteristics, and reported limitations were extracted. Research involving convolutional neural networks (CNNs) and more recent models such as Transformers have reported high performance in chest X-ray classification, whereas acoustic approaches based on spectrograms and self-supervised representations (e.g., Wav2Vec 2.0) show promising but dataset-dependent results. Full article

This work addresses the design and implementation of an automated system for the handling and transportation of parts, integrating speed sensors, an optimized PID controller, an HMI interface, and an industrial robotic system. The speed sensors, powered by 5 V DC, enable continuous measurement of the conveyor belt’s speed and direction of rotation, providing the feedback signal required for the control loop. The core element of the system is the implementation of a PID controller applied to a direct current motor responsible for driving the conveyor belt. This controller regulates the motor speed by analyzing the error between the reference speed and the measured speed, using proportional, integral, and derivative actions to improve system stability, reduce steady-state error, and minimize oscillations. The application of PID control makes it possible to achieve an appropriate dynamic response, ensuring accuracy and reliability in the transportation process. System monitoring and operation are carried out through a human–machine interface (HMI) developed in LOGO Web Editor, which communicates with the PLC (LOGO V8) to visualize and control the status of the conveyor belt, sensors, and control elements in real time. This interface facilitates interaction between the operator and the system, allowing both virtual and physical operation. In addition, RAPID programming is used to control the IRB 14000 industrial robot, enabling the reading of PLC signals and the execution of coordinated trajectories between both arms. The operating sequence includes picking up a part with the left arm, placing it on the conveyor belt, and, after detection by sensors and PLC control, subsequent manipulation by the right arm to a specific point. Finally, both arms return to their original position, ensuring synchronized and collision-free operation. Lastly, this work integrates scientific knowledge related to the modeling, analysis, and control of dynamic systems, particularly in the implementation of closed-loop PID control optimized using genetic algorithms. This control is applied directly to an embedded system through the use of an Arduino board as the processing and control platform. Likewise, technological knowledge associated with industrial automation, PLC programming, HMI development, and industrial robotics is incorporated. The convergence of these scientific and technological approaches results in a comprehensive and compelling project that demonstrates the practical application of theoretical concepts in a functional automated system representative of real industrial environments. Full article