Search Results (18,717)

Unmanned aerial vehicles (UAVs) are pivotal for 6G ubiquity, yet their open line-of-sight channels increase vulnerability to interception, posing new challenges for covert communication. This paper proposes a joint optimization scheme for multi-UAV relay-assisted covert communication system with the maximum channel capacity relay selection (MCRS) criterion. Distinct from conventional single-UAV approaches, this scheme uniquely couples UAV geometric positions with the time-varying characteristics of the wireless channels, exploiting spatial diversity from UAV relays to mitigate small-scale fading in dense urban environment, and jointly optimizes the transmit power and UAVs’ altitude. Specifically, we first designed an optimal relay selection strategy and derived analytical expressions for detection error and outage probabilities over altitude-dependent Nakagami-m fading channels. Furthermore, we maximized the effective covert rate by jointly optimizing the UAVs’ hovering altitude and adaptive transmit power of source and relays, subject to covert constraints. Extensive numerical results demonstrate a near-perfect match between the derived theoretical expressions and Monte Carlo simulations and validate the accuracy of our theoretical model. Compared against conventional single-UAV and multi-fixed-altitude UAV benchmark schemes, simulations demonstrate that the joint optimization scheme with relay selection proposed significantly enhances the covert performance of UAV-assisted communication systems. Full article

Hydraulic systems are pivotal components in safety-critical aerospace and industrial applications, making reliable health monitoring essential. However, traditional data-driven diagnosis methods typically rely on static graph structures that fail to capture evolving sensor correlations during different fault modes. Furthermore, existing grid-based models often struggle to extract multi-resolution features and maintain performance under data-limited conditions. To address these challenges, this paper proposes a novel Dynamic Multi-Scale Graph Neural Network (DMS-GNN) for hydraulic system fault diagnosis. The framework integrates a hierarchical multi-scale feature extraction module to capture diverse fault signatures across different frequency bands. Crucially, a self-attention-based dynamic graph learner is introduced to adaptively infer latent sensor topologies end-to-end, eliminating the reliance on predefined physical connections. Experimental validation on a dedicated electro-hydraulic test bench demonstrates that the proposed DMS-GNN achieves a superior diagnostic accuracy of 98.47%, outperforming state-of-the-art baselines such as GraphSAGE, Static GCN, and GAT. The result confirms the efficacy of combining multi-scale temporal learning with dynamic spatial reasoning for robust multi-sensor fusion diagnosis. Full article

As university teachers face increasing work pressure and family responsibilities, Work–Family Conflict (WFC) has become a significant factor affecting teachers’ psychological health. Based on the Conservation of Resources Theory and network analysis methods, this exploratory study investigates the systematic impact of WFC on teacher job burnout, work engagement, and work connectivity behaviors after-hours. Through data analysis of a sample of 409 university teachers, a partial correlation network model was constructed, revealing patterns, central nodes, and conditional associations between variables that describe how WFC affects the psychological system of teachers. The results show that “Work Interfering with Family(WIF)” holds the highest centrality and bridging effect in the network, acting as a key node connecting multiple dimensions of job burnout, work engagement, and work connectivity behaviors after-hours. Specifically, WIF is directly associated with emotional exhaustion and indirectly weakens work engagement through the mediation of reduced professional efficacy. Additionally, work connectivity behaviors after-hours (WCBA) have a close and significant influence on WIF. This study highlights the pivotal role of WFC in relation to teachers’ job burnout, work engagement, and WCBA, providing an exploratory perspective and precise intervention guidelines for intervention strategies. Full article

The COVID-19 pandemic disrupted traditional financing channels, accelerating the adoption of crowdfunding as an alternative capital-raising mechanism across Africa. Limited access to finance for women entrepreneurs remains a pivotal issue globally, particularly in Africa, where most women are significantly underrepresented. This study investigates the role of gender differences in campaign design, communication, and signalling in crowdfunding success during the COVID-19 pandemic, rather than focusing on gender as a direct factor. Guided by signalling, Congruity, Feminist Economics, and Social Network theories, the research investigates whether gender-related differences in campaign presentation and communication strategies contributed to variations in funding outcomes. A quantitative research approach was adopted to analyse reward-based crowdfunding campaigns launched between March 2020 and December 2020. The study measures success through funding attainment ratios and goal achievement rates. The findings reveal nuanced gender effects, with male-led campaigns exhibiting strengths in social engagement and narrative appeal, while female-led campaigns demonstrated advantages in higher average contribution sizes. This awareness contributes to the literature on gender and entrepreneurial finance in crisis contexts, offering practical implications for platform design, policy interventions, and inclusive funding strategies in Africa’s evolving crowdfunding ecosystem. In line with the empirical results, the impact of gender is mostly indirect and mediated by campaign variables such as updates, videos, and engagement intensity. Full article

Dendrobium polysaccharides (DOPs) have been demonstrated to possess protective activities against UVB-induced skin damage and oxidative stress, but their role in wound healing remains unexplored. This study employed multiple enzymatic hydrolysis methods to prepare Dendrobium polysaccharide hydrolysates and systematically evaluated their wound-healing activity and molecular mechanisms in an in vitro HaCaT keratinocyte model and an in vivo mouse wound model. In vitro results demonstrated that enzymatically extracted DOPs promoted the proliferation and migration of HaCaT keratinocytes, with the composite enzymatic product (D-ceh) exhibiting optimal efficacy. Mechanistic analyses revealed that D-ceh activated the NF-κB signaling pathway and upregulated pro-inflammatory cytokines, thereby enhancing keratinocyte proliferation and migration. In vivo experiments demonstrated that D-ceh considerably enhanced collagen deposition and extracellular matrix remodeling, accelerating wound closure. These findings reveal that enzymatically processed DOPs have potential therapeutic value in accelerated skin wound healing, and the NF-κB signaling pathway plays a pivotal role in its biphasic regulation, promoting inflammation in the early phase and remodeling in the mid-to-late phase, thereby supporting the clinical development prospects of DOPs as natural wound healing promoters. Full article

Pancreatic cystic lesions (PCLs) include clinically challenging conditions that range from benign to malignant prognoses. Their prevalence is increasing, and they are often detected as incidental findings during cross-sectional imaging. Thus, endoscopic ultrasound (EUS) plays a pivotal role in investigating these lesions. In this review, we analyze the complete diagnostic potential of EUS. Contrast-enhanced EUS, contrast-harmonic EUS, and elastography are useful for distinguishing between benign and malignant forms, and detective flow imaging EUS and e-FLOW EUS have enhanced the diagnostic arsenal available. Fine-needle aspiration (FNA) is important for obtaining cystic fluid for biochemical analysis and cytological examinations. Confocal laser endomicroscopy and through-the-needle biopsy represent adjunctive techniques for refined and difficult diagnosis. Moreover, artificial intelligence could be a promising modality in the EUS world. EUS allows PCLs to be detected accurately and plays a relevant role in identifying malignant forms. Full article

Dysregulation of iron and copper homeostasis is a pivotal driver of regulated cell death through two distinct yet interconnected modalities: ferroptosis and cuproptosis. This comprehensive review evaluates the therapeutic modulation of these metal-driven pathways within a dual paradigm: their deployment as a cytotoxic weapon in oncology and their inhibition for neuroprotection. We synthesize evidence ranging from small-molecule synergy to advanced nanomedicine, examining how the interplay between iron and copper governs cellular fate in resistant malignancies and neurodegenerative diseases such as Parkinson’s disease and Multiple Sclerosis. In oncology, bimetallic nanoplatforms and CRISPR-Cas9 nano-ionophores exploit “iron addiction” and metabolic vulnerabilities to induce fatal lipid peroxidation and FDX1-mediated proteotoxic stress, often by circumventing efflux transporters like ATP7A/B. Conversely, neuroprotective strategies focus on site-specific chelation, utilizing brain-penetrant molecules like SK4 (targeting the LAT1 transporter) and radical trapping antioxidants like Cu^II(atsm). Importantly, we elucidate the “iron trap” mechanism, where copper deficiency inactivates multicopper ferroxidases—including ceruloplasmin and hephaestin—thereby triggering iron-dependent ferroptosis. Our analysis reveals a self-amplifying cycle of oxidative damage driven by metal-induced ATP depletion and glutathione exhaustion. By delineating the molecular machinery of iron and copper metabolism, this article provides a roadmap for leveraging regulated cell death to overcome apoptosis resistance in cancer and preserve neural integrity in chronic degeneration. Full article

The European Union’s energy transition framework presents significant challenges for the maritime sector, requiring technical, organizational, and market-based compliance measures. The FuelEU Maritime Regulation (FuelEU) introduces flexible mechanisms such as banking, borrowing, and pooling that broaden compliance options for shipowners. This study examines the role of pooling in European shipping, focusing on its operational models, enabling conditions, and economic implications. Pool formation demands extensive information exchange and effective coordination, creating a need for specialized intermediaries and supporting the emergence of a market in which pooling prices are shaped by supply and demand. The research employs a qualitative methodology combining stakeholder and exploratory market analysis, assessment of regulatory and market drivers, case studies, and comparative analysis, complemented by expert interviews and a targeted survey. The findings highlight pooling as a pivotal compliance instrument, particularly as a fallback option during the reporting period, and show that it currently represents the most cost-efficient means of achieving FuelEU compliance. Intermediary service providers, especially digital platforms, play a central role by facilitating coordination, improving transparency, and reducing compliance costs. The study further identifies key factors influencing shipowners’ costs and revenues in pools, emphasizing the critical importance of alternative fuel availability and prices. Full article

Despite significant advances in digital surveying technologies, Heritage Building Information Modelling (HBIM) remains constrained by labour-intensive processing, fragmented classification systems, and limited standardised pathways for integrating Artificial Intelligence (AI). The absence of a systematic and standardised roadmap for AI adoption has limited both academic progress and industrial implementation. This paper proposes a comprehensive AI implementation roadmap for automated HBIM, developed through iterative research and empirical experimentation on UK heritage case studies. Building upon Design Science Research (DSR) principles, the roadmap delineates the critical dependencies among classification systems, data acquisition, algorithmic segmentation, and geometry generation, while embedding the Five HBIM Motivations, revival, restoration, restitution, retrofit, and resilience, as the primary structuring device for project intent. The study synthesises experimental findings into a practical, ISO 19650-aligned framework capable of guiding AI integration at both strategic and operational levels. An AI-enabled HBIM Execution Plan is presented as an implementation mechanism, enabling project teams to align digital workflows with heritage objectives, classification structures, and computational capacities. Evaluation through expert interviews confirms the roadmap’s feasibility, adaptability, and potential to enhance documentation efficiency, semantic richness, and interdisciplinary collaboration. The paper contributes a robust, scalable, and standards-compliant methodology for embedding AI in HBIM, offering a pivotal reference for the UK cultural heritage sector and a template for international replication. Full article

Background/Objectives: Transcatheter edge-to-edge repair (TEER) has become an established therapeutic option for selected patients with mitral regurgitation (MR). However, primary (degenerative) and secondary (functional) MR represent distinct disease entities, characterized by different pathophysiological mechanisms, clinical trajectories, and determinants of benefit. This review aims to provide an interventional cardiology-oriented synthesis of TEER, emphasizing the fundamental differences between primary and secondary MR and their implications for patient selection, procedural strategy, and outcome interpretation. Methods: A targeted literature search was performed in PubMed and Embase to identify pivotal randomized trials, registries, guideline documents, and high-quality reviews addressing TEER in MR. The available evidence was synthesized narratively, with a focus on mechanistic insights, TEER-specific imaging and procedural endpoints, and clinically relevant outcomes. Results: In primary MR, TEER functions as a valve-centered therapy, with procedural success primarily determined by anatomical suitability and the balance between durable MR reduction and avoidance of elevated transmitral gradients. In secondary MR, TEER should be considered an adjunctive intervention within a comprehensive heart failure strategy, with benefit dependent on patient phenotype, myocardial substrate, optimization of background therapy, and appropriate timing. Emerging phenotypes, such as atrial functional MR, further challenge traditional classification and highlight the need for mechanism-based selection. Across MR subtypes, residual MR and transmitral gradients emerge as key post-procedural endpoints with differential prognostic implications. Conclusions: TEER represents a phenotype-specific intervention rather than a uniform solution for MR. Recognizing the distinct interventional paradigms of primary and secondary MR is essential to optimizing patient selection, procedural decision-making, and clinical outcomes. Full article

Background/Objectives: Cutaneous squamous cell carcinoma (cSCC) is the second most common skin cancer worldwide, with a steadily increasing incidence in aging populations, particularly among older and immunocompromised individuals. Early-stage cSCC disease is usually managed with surgery or radiotherapy; however, advanced or unresectable cases remain therapeutically challenging. The advent of immune checkpoint inhibitors (ICIs), especially programmed cell death protein 1 inhibitors, such as cemiplimab and pembrolizumab, has markedly improved outcomes in advanced cSCC. Nevertheless, resistance to immunotherapy, management of frail or super-aged patients, and optimal integration of systemic therapy with radiotherapy continue to pose important clinical questions. Methods: This review provides an updated overview of the current treatment strategies for cSCC, with particular attention to recent advances in systemic therapy and the application of geriatric oncology principles. We emphasize the considerations relevant to East Asian practices, especially in Japan, where the demographic shift toward a super-aged society magnifies the need for tailored approaches. Results: Although most pivotal clinical trials have been conducted in Western populations, emerging real-world data from East Asia have demonstrated comparable efficacy and safety of ICIs, underscoring the global relevance of immunotherapy in diverse patient groups. By incorporating a structured frailty assessment, individualized treatment goals, and proactive management of immune-related adverse events, this review highlights practical strategies for optimizing cSCC care in older patients. Conclusions: Future directions include predictive biomarker development; refinement of treatment sequencing; and multidisciplinary collaboration among oncology, dermatology, and geriatrics to adapt cSCC management to aging societies. Full article

This second part of this expert panel review explores the broader impact of vaccines across the lifespan, emphasizing their role beyond immediate infection control. Vaccines not only extend life expectancy but also influence long-term health trajectories, particularly during the critical first 1000 days of life, where they prevent severe infections, disability, and mortality. They contribute to cancer prevention through vaccination against human papillomavirus and hepatitis B, reduce cardiovascular events and complications in individuals with chronic diseases, and protect against late-life functional decline. Furthermore, vaccines exert lasting effects on healthy aging by modulating inflammation and preserving independence, while proposed vaccination schemes illustrate the need for a comprehensive, life-course approach. Together with Part 1, which focused on immunosenescence and immune modulation, this closing installment underscores vaccination as a cornerstone of sustainable health policy, reinforcing its pivotal role in extending both lifespan and healthspan for future generations. Full article

Suppressing the polysulfide shuttle effect and accelerating the sulfur redox kinetics remain pivotal challenges for advancing the practical viability of lithium–sulfur batteries (LSBs). In this study, an iodine-doped carbon nitride (I-CN) material was synthesized via a one-step annealing strategy and employed as a metal-free sulfur cathode host. Compared to its pristine counterpart, I-CN exhibits a substantially increased specific surface area, which facilitates the homogeneous dispersion of sulfur species. More importantly, the incorporation of iodine atoms disrupts the equilibrium of the electron cloud distribution within the CN framework, leading to enhanced electron delocalization. This electronic modulation not only significantly improves the charge transport properties of carbon nitride but also strengthens the adsorption of lithium polysulfides (LiPS) and promotes Li₂S nucleation, thereby enabling fast and durable sulfur redox reactions. Benefiting from these synergistic effects, the S@I-CN electrode achieves high sulfur utilization, delivering an initial discharge capacity of 1341.9 mAh g⁻¹ at 0.1C. Even at a high current density of 5C, a remarkable reversible capacity of 472.7 mAh g⁻¹ is retained. Notably, the electrode retains 66.2% of its initial capacity after 800 cycles, demonstrating excellent long-term cycling stability. This halogen-based heteroatom doping strategy thus not only enhances the electrochemical performance of carbon nitride materials in LSBs through the rational manipulation of electron delocalization, but also offers a promising direction for the design of novel metal-free electrocatalysts in related energy conversion systems. Full article

Floods pose significant risks to human lives, infrastructure, and the environment. Timely and accurate flood forecasting plays a pivotal role in mitigating these risks. This study proposes a Digital Twin proof-of-concept framework aimed at improving flood forecasting and validated its effectiveness through a pilot study of the 2021 flood event in Luxembourg. The baseline forecasting method combines GloFAS ensemble streamflow forecasts with a high-resolution flood hazard datacube generated using a LISFLOOD-FP hydrodynamic model and then averaging among the member forecasts. To dynamically update the flood forecasts and improve their accuracy, the framework integrates satellite-based Earth observations (EOs)—specifically Sentinel-1-derived flood probability maps from the Global Flood Monitoring service—via a particle filter-based data assimilation (DA) process. As such, the simulations with more coherence with the observed Sentinel-1-derived flood probability maps are prioritized. This results in a Digital Twin capable of delivering daily flood depth forecasts, at detailed spatial resolution, up to 30 days ahead, with reduced prediction uncertainty. Using the 2021 flood event, we evaluate the performance of the Digital Twin in assimilating EO data to refine hydraulic model simulations and issue accurate flood forecasts. Although certain challenges persist—particularly the difficulty in quantifying the error structure of GloFAS discharge forecasts—the proposed approach demonstrates clear improvements in forecast accuracy compared to open-loop simulations. As a result, the approach reduces water level prediction errors by an average of 15–33% and increases the Nash–Sutcliffe Efficiency of discharge predictions by approximately 15–36%. Future work will aim to refine the flood hazard datacube and advance the characterization and modeling of uncertainties associated with both GloFAS streamflow forecasts and Sentinel-1-derived flood maps, thereby further enhancing the system’s predictive capability. Full article

Background: Enfortumab vedotin plus pembrolizumab (EVP) has become a first-line standard for metastatic or unresectable urothelial carcinoma. However, EVP is associated with distinct toxicities, particularly cutaneous adverse events, and prophylactic systemic corticosteroids were not permitted in pivotal trials. Therefore, the safety and early effectiveness of EVP with routine dexamethasone premedication in real-world practice remain unclear. Methods: This multicenter retrospective study included consecutive patients with metastatic or unresectable urothelial carcinoma who received first-line EVP at five institutions in Japan between September 2024 and September 2025. All patients received routine intravenous dexamethasone premedication before enfortumab vedotin administration. Safety and early clinical outcomes were evaluated, with exploratory subgroup analyses according to clinical trial eligibility and EVITA criteria. Results: Seventy-seven patients were included, with a median age of 75 years, and more than half would have been ineligible for pivotal clinical trials. Cutaneous toxicity was the most frequent adverse event (52.0%), whereas grade ≥3 skin reactions were uncommon (3.9%). With a median follow-up of 6.7 months, the objective response rate was 73.0%. The 6-month progression-free survival and overall survival rates were 73.9% and 78.7%, respectively. Early progression-free survival was generally maintained across subgroups stratified by clinical trial eligibility and EVITA category, with no evidence of excess early progression. Conclusions: In this real-world multicenter cohort, first-line EVP with routine dexamethasone premedication was feasible, with manageable toxicity and encouraging early clinical activity, including in patients with comorbidities commonly encountered in routine clinical practice. Longer follow-up and prospective comparative studies are warranted to clarify long-term outcomes and the impact of dexamethasone on efficacy and toxicity. Full article