Search Results (6,505)

It is well-known nowadays that the usage of conventional opaque photovoltaics in agricultural practices has negative effects on crops growth, mainly due to the shading effect they cause. On the other hand, most of the emerging semi-transparent solar cells do not demonstrate the appropriate optical characteristics and scalability to attain their viable integration in agriculture, undermining their commercialization. This study deals with the development of wavelength-selective semi-transparent dye-sensitized solar cells (DSSCs) using the scalable slot-die deposition method. These devices are designed to provide high transparency in the photosynthetically active radiation (PAR) region and effectively exploit the near-ultraviolet to blue-visible spectrum for power production, simultaneously protecting cultivations from harmful short-wavelength irradiation. To this aim, a new quinoline-based dye and a highly transparent iodine-free electrolyte were employed in DSSCs, giving an external quantum efficiency of 70% for wavelengths up to 500 nm and a PAR transmittance on the level of 50% (55% crop growth factor). Additionally, the light-to-electricity conversion efficiency of these devices is high for both front- and rear-side illumination under all-weather irradiation conditions (up to 94% bifaciality factor). Finally, two new figures-of-merit (greenhouse compatibility factor, agrivoltaic performance factor) are introduced to quantify the balance of photovoltaic performance and agronomic functionality. Full article

Primary CLIL teacher wellbeing remains underexplored in France and Spain. This exploratory, context-specific qualitative study examined the factors that ten primary teachers, five in France (Montpellier and Lille) and five in Andalusia, associated with their wellbeing. Bronfenbrenner’s ecological framework, enriched with the ontosystem and the flourishing/floundering distinction, was used as an interpretive device. The interviews were analysed through reflexive thematic analysis. Participants’ accounts converged around perceived gaps in CLIL-specific training, time, coordination, and human and material resources, while differing in how they interpreted programme stability and recent policy change. The analysis tentatively developed a compensatory pedagogy of affection and a broader pattern of professional delegitimation and identity-related loss. Explicit bilingual professional shame appeared in one account. It also identified native-speaker-oriented linguistic self-demand and an emerging pattern of AI-assisted material adaptation across six accounts. We offer a provisional, context-specific tensional ecological framework to organise the relationships participants described between conditions perceived as structural pressures and personal, relational, formative, and material resources. The framework is intended as a heuristic and hypothesis-generating contribution rather than a validated causal or longitudinal model. The findings identify areas for institutional review and further research. Full article

Expressway unmanned aerial vehicle (UAV) pre-deployment is a geospatial decision-support task that requires reliable road-segment-level traffic flow prediction based on spatial sensing networks. However, existing spatiotemporal forecasting models remain limited in characterizing cross-segment propagation relationships, long-lag causal dependencies, and atypical traffic evolution patterns. In addition, complex models often fail to meet the computational requirements of edge-device deployment. Based on electronic toll collection (ETC) gantry data, this study proposes a causal–semantic spatiotemporal forecasting framework for long-term traffic flow prediction with a 24 h forecasting horizon. First, conditional Granger causality analysis is used to construct a directed causal prior graph that characterizes traffic propagation relationships among expressway segments. Second, scenario-semantic priors generated by a large language model are introduced to describe atypical traffic conditions. Then, causal structural priors and scenario-semantic priors are integrated into a teacher model and transferred to a lightweight student model through response-level and feature-level knowledge distillation. Experiments using expressway data from Hubei Province, China, show that the proposed model achieves the best overall performance in the typical scenario and competitive performance in the atypical scenario. The results indicate that the proposed framework can provide day-scale decision support for expressway law-enforcement UAV pre-deployment and enhance the spatial intelligence of traffic emergency management. Full article

Electrical bioimpedance (BioZ) has emerged as a promising technique for the non-invasive monitoring of physiological parameters, owing to its ability to map functional activity into electrical changes. Particularly, impedance plethysmography (IPG) is used to track blood volume changes associated with cardiac activity. However, developing flexible, low-cost devices with enough sensitivity to serve as high-precision for IPGs remains an open challenge. In this work, we introduce laser-induced graphene (LIG) electrodes as an attractive alternative for IPG measurements. The electrodes were fabricated by generating LIG on a polyimide substrate using a 405 nm laser diode and were subsequently characterized morphologically, structurally, and electrically to produce a wrist-worn cardiac impedance sensor (WCIS). The design of the WCIS is based on interdigitated electrodes to detect IPG variations at the radial artery, from which the heart rate is estimated. We show experimental results on IPG signal analysis and its validation against electrocardiogram (ECG) signals as the gold standard. As a result, a mean absolute error (MAE) of 1.7 bpm, a root mean square error (RMSE) of 2.1 bpm, and a limit of agreement of approximately $\pm 6$ bpm were obtained. These outcomes demonstrate the feasibility of the WCIS as a promising, low-cost alternative for continuous, non-invasive cardiovascular monitoring in portable devices, based on the IPG principle. Full article

The growing demand for efficient and sustainable energy-storage systems has intensified efforts to develop materials capable of delivering both high power output and reliable capacity retention. Conventional supercapacitors excel in rapid charge–discharge processes and offer outstanding cycling durability; however, their inherently low energy density limits large-scale use. In contrast, batteries provide high energy densities but typically display slower power response and poorer rate capability. Consequently, hybrid storage systems that merge capacitive and faradaic mechanisms have emerged as a compelling strategy to overcome these shortcomings. In this study, a SrS/polyaniline (SrS/PANI) nanocomposite was fabricated via hydrothermal synthesis and evaluated as an electrode material for hybrid supercapacitor architectures. Structural and morphological characterisation confirmed the formation of a nanoscale composite with well-integrated phases. Electrochemical performance was first evaluated in a three-electrode half-cell configuration, where the optimized SrS/PANI (50/50 wt%) electrode delivered a GCD-derived specific capacity of 580 C g⁻¹ at 0.4 A g⁻¹. The electrode was then assembled into an asymmetric two-electrode device, which achieved an energy density of 18 Wh kg⁻¹, a power density of 2980 W kg⁻¹, and 75% capacity retention after 1000 cycles. Overall, the findings indicate that the SrS/PANI composite exhibits improved charge-storage behaviour arising from the combined contribution of redox-active SrS and the conducting-polymer component PANI, underscoring its promise for hybrid energy-storage applications. Full article

Patients with congenital heart disease (CHD) represent a special healthcare challenge due to their high complexity, which accompanies them throughout all life stages. Consequently, this population faces increased morbidity and mortality rates, often linked to hemodynamic shifts in pulmonary flow or cardiac output. These risks are further compounded by potential arrhythmias and heart failure decompensation, which may lead to the progressive progression toward advanced stages of the disease. Unfortunately, standard outpatient follow-up is often not capable of responding to the continuous monitoring needs presented by these patients and their families. This selective review frames information on the wearable devices that have emerged as a key solution for continuous and remote monitoring. Beyond clinical tracking, research is increasingly focusing on their role in assessing physical activity—a critical determinant of health outcomes in the CHD population. This review examines the existing literature on wearable technology in both pediatric and adult patients while also addressing the current limitations that hinder their integration into routine clinical practice. Full article

Background: Patients with cystic fibrosis frequently require repeated courses of intravenous antibiotic therapy, resulting in cumulative vascular injury, progressive depletion of peripheral venous access, and increasing complexity in long-term vascular access management. Integrating structured vascular access planning into multidisciplinary care pathways has become increasingly important for preserving venous capital, optimising vascular access decision-making, and ensuring continuity of care. Objective: To describe the development and implementation of an Advanced Practice Nursing-led multidisciplinary vascular access care pathway for patients with cystic fibrosis requiring prolonged intravenous therapy. Methods: A practice-based descriptive analysis of a multidisciplinary vascular access pathway was conducted, incorporating ultrasound vascular assessment, structured clinical decision-making, and coordinated care across the Emergency Department, Cystic Fibrosis Unit, Vascular Access and Infusion Team, Hospital Pharmacy Service, and Hospital-at-Home Programme. An illustrative patient example was used to demonstrate pathway implementation in routine clinical practice. Results: Pathway implementation illustrated the feasibility of integrating ultrasound-guided vascular assessment, evidence-informed selection of vascular access devices, and coordinated home-based intravenous therapy within a multidisciplinary care model. Ultrasound-guided vascular assessment identified a suitable upper-arm basilic vein despite severe peripheral venous depletion. An Advanced Practice Nurse successfully performed ultrasound-guided midline catheter insertion, achieving first-attempt cannulation and no immediate complications. The illustrative patient completed four weeks of home-based intravenous antibiotic therapy without observed catheter-related infection, thrombosis, occlusion, catheter dysfunction, or unplanned hospital readmissions. The patient reported satisfaction with the treatment experience and the ability to maintain daily activities throughout treatment. Conclusions: This study describes and clinically contextualises an APN-led multidisciplinary vascular access care pathway for patients with cystic fibrosis requiring prolonged intravenous therapy. The illustrative patient demonstrated the feasibility of applying the pathway in routine clinical practice. Further prospective multicentre studies are required to evaluate its effectiveness, safety, reproducibility, and broader applicability. Full article

This survey presents a comprehensive review of Human Pose Estimation spanning 2D and 3D settings, unifying prior work through a taxonomy of body representations (2D keypoints, 3D skeletons, dense meshes), processing flows (top-down vs. bottom-up), problem formulations (regression vs. detection/heatmaps), and modern learning architectures (CNNs, Transformers, GCNs). We compare reported benchmark results of representative methods across widely used datasets (e.g., COCO, MPII, Human3.6M, 3DPW) and evaluation metrics (AP/OKS, PCK/AUC, MPJPE/PA-MPJPE, PVE), highlighting trade-offs between accuracy, robustness, and efficiency. Despite substantial progress driven by deep learning and temporal modeling, we identify persistent challenges, including costly and biased annotations, domain shift, occlusion, depth ambiguity, multi-person association, and real-time constraints on edge devices. We synthesize emerging directions that target these gaps, data-centric learning, stronger temporal and kinematic priors, and whole-body modeling, and outline deployment-oriented frontiers including generative motion priors, model compression, and on-device inference, framing their implications for engineering systems that demand reliable, low-latency human motion analysis. Full article

The objective of this systematic review was to analyze the scientific evidence published between 2015 and 2025 on the impact of active tourism in reducing sedentary behavior among children and adolescents, and its implications for health promotion and the economic development of the sector. The PRISMA 2020 guidelines were followed, with searches conducted in PubMed, Scopus, and Web of Science, including 13 studies with approximately 3100 participants across school, extracurricular, and residential camp contexts. The results show a consistent decrease in sedentary time during participation in active tourism programs, with moderate reductions in short-term interventions (≈5–15% or 20–30 min/day) and substantial decreases of up to 1.5–2 h per day in immersive programs. This displacement is mainly accompanied by increases in light physical activity, more limited improvements in moderate-to-vigorous physical activity, and reductions in screen time when the use of electronic devices is restricted. Overall, active tourism emerges as an effective and safe intervention with biopsychosocial benefits to counteract sedentary lifestyles in the young population. Furthermore, it demonstrates considerable applied potential as a driver of economic development by generating demand for educational, recreational, and tourism services, fostering destination diversification, and promoting sustainable territorial growth models. Full article

Terahertz (THz) technology has emerged as a versatile platform enabling advancements across materials characterization, sensing, wireless communication, and biomedical diagnostics. This review provides a unified perspective on these application domains by highlighting the central role of terahertz time-domain spectroscopy (THz-TDS) as a fundamental tool for probing material electrodynamics. THz-TDS enables simultaneous measurement of amplitude and phase of the electric field, allowing contact-free direct extraction of complex permittivity, conductivity and other dielectric properties. Building on this capability, the review connects material-level properties to device and system-level functionalities, including metamaterial-based sensors, graphene-enabled reconfigurable intelligent surfaces (RISs), and beam-steering architectures relevant to 6G and beyond communication systems. Furthermore, the potential of THz techniques in biomedical applications is discussed in detail, particularly for non-invasive tumor detection through dielectric contrast mapping and imaging-based reconstruction methods. By integrating developments across these domains, this review presents THz-TDS as a unifying framework that links materials physics to emerging technologies in sensing, communication, and healthcare, offering insights into future directions for THz research and applications. The principal contribution of this review is to present a cross-domain framework that relates THz field measurements and extracted material electrodynamics to sensing, reconfigurable wavefront control, communication technologies, and biomaterials characterization. Full article

Durable medical devices (DMD) are essential healthcare assets, yet their management in public hospitals is constrained by fragmentation, limited traceability, reactive maintenance, and weak lifecycle integration. This study proposes a framework for digitally enabled, sustainable, and circular DMD management. A mixed-methods design integrated a literature review, expert consultation using the Best–Worst Method, weighted technology nominations, and case-based process mapping in Brazilian hospitals. Eleven experts assessed the criteria guiding Industry 4.0 technology selection for DMD management and the technologies best responding to these priorities; nine consistent judgments were aggregated. Patient-Centered Care, Operational Efficiency, and Resource Efficiency and Cost Reduction emerged as the leading influences on technology selection. Big Data and Analytics, Artificial Intelligence, the Internet of Things, Cloud Computing, Cyber-Physical Systems, Smart Sensors, and Machine Learning formed the priority portfolio, accounting for 84% of the weighted score. The cases contextualized these priorities by revealing discontinuous information flows, limited asset visibility, corrective maintenance, fragmented governance, and weak end-of-life practices. By connecting decision priorities and technological capabilities with observed gaps, the TO-BE framework organizes sustainable procurement, traceable use, predictive maintenance, redeployment, refurbishment, and responsible disposal through material and information flows, providing a pathway for digital and circular transformation in resource-constrained healthcare systems. Full article

Virus-specific antibody responses, including binding antibodies and neutralizing antibodies (nAbs), are important indicators of antiviral immune status after infection or immunization. They provide complementary information on antiviral humoral immunity after infection or vaccination. Antigen-binding antibodies indicate previous exposure and the magnitude of the immune response, whereas receptor-blocking and functional neutralization assays assess whether antibodies interfere with viral entry or infection. Conventional neutralization assays, such as plaque reduction neutralization tests and pseudovirus neutralization tests, provide functional information but are labor-intensive, time-consuming, biosafety-restricted, and difficult to deploy for large-scale or decentralized monitoring. Paper-based biosensors, including lateral flow assays (LFAs), microfluidic paper-based analytical devices (μPADs), and paper-based ELISA, have emerged as promising point-of-care tools owing to their low cost, portability, simple operation, and compatibility with visual or digital readouts. This review critically evaluates these platforms according to whether they measure antigen-binding antibodies, receptor-blocking activity, surrogate neutralization, or functional neutralization and summarizes the applications of these three platforms for monitoring antibody responses against SARS-CoV-2, influenza, dengue, Zika, and monkeypox viruses. Unlike previous reviews that mainly focus on general paper-based biosensor design or conventional nAb assays, this review emphasizes the distinction between antigen-binding, receptor-blocking, and surrogate neutralization readouts, and critically discusses how paper-based signals should be interpreted in relation to functional immunity. We further analyze key translational challenges, including quantitative accuracy, antigen cross-reactivity, standardization, clinical validation, regulatory positioning, and real-world implementation. Future development should combine multiplex detection, standardized calibration, digital and AI-assisted interpretation, and clinically validated assay formats. Paper-based biosensors have considerable potential for decentralized antibody monitoring and public health surveillance, but their clinical utility depends on clear assay positioning and validation against appropriate functional or reference methods. Full article

Additive manufacturing [AM; three-dimensional (3D) printing] is reshaping heterogeneous photocatalysis by enabling architected materials and devices that span from centimeter-scale monoliths to micro- and lab-on-chip reactors. Heterogeneous photocatalysts have traditionally been deployed as powders or simple coatings, which offer high activity but suffer from mass-transfer limitations, poor light utilization and difficult recovery. Three-dimensional (3D) printing now allows precise control over macroscopic geometry, internal channel networks and micro-/nano-scale surface texturing, creating structured photocatalysts and microreactors that can be tailored for specific photon and flow fields. In contrast to recent reviews that primarily survey materials development or additive-manufacturing routes, this work focuses on photocatalytic microreactors and lab-on-chip devices as multi-scale reactors in which catalyst composition, architected geometry, photon management and hydrodynamics are co-designed across length scales. We summarize three-dimensional 3D-printed photocatalytic systems based on polymer–oxide composites, ceramic scaffolds such as zinc oxide (ZnO)/titanium dioxide (TiO₂) clay monoliths, and laser-written titanium dioxide (TiO₂) nano-architectures, with particular emphasis on microfluidic and lab-on-chip implementations fabricated by fused deposition modeling (FDM), direct ink writing (DIW), stereolithography (SLA), digital light processing (DLP) and laser direct writing (LDW). Based on the literature data and representative case studies, we examine how architected lattices, sponges and microreactor chips affect key performance metrics—apparent rate constants, apparent quantum yield (AQY) and space–time yield (STY)—for the degradation of dyes, antibiotics, detergents and other emerging contaminants in realistic matrices, and we compile reported values to illustrate emerging performance trends and limitations. Representative case studies highlight 3D-printed manganese-doped zinc oxide (Mn:ZnO)-decorated sponges used as modular cartridges for greywater and detergent treatment, as well as laser-written titanium dioxide (TiO₂) nano-photocatalysts integrated into microchannels to couple structured light fields with controlled residence times. Finally, we outline materials and process challenges—including ultraviolet (UV) aging of polymer supports, the energy intensity of ceramic sintering and the lack of standardized testing protocols—and identify future research directions formulti-scalee modeling and techno-economic evaluation of three-dimensional (3D)-printed photocatalytic microreactors and devices. Full article

Cyclic adenosine monophosphate and cyclic guanosine monophosphate are key regulators of cellular physiology and tissue homeostasis. Conventional experimental models have provided fundamental insights into cyclic nucleotide pathways; however, they often fail to fully recapitulate essential features of in vivo systems. Two-dimensional cell cultures lack spatial organization, while animal models incompletely capture cell–cell interactions and the dynamic microenvironment shaping signaling processes. In recent years, advanced three-dimensional and microengineered systems have emerged as tools to bridge this gap. In this review, we discuss how three-dimensional and organ-on-chip systems are transforming the study of cyclic nucleotide signaling by enabling reconstruction of tissue architecture and signaling niches. Spheroids and organoids provide robust models to investigate compartmentalized signaling and intercellular communication. Complementarily, microfluidic organ-on-chip devices introduce controlled mechanical cues, perfusion, and tissue interfaces, enabling real-time monitoring of signaling dynamics. We highlight recent advances in microphysiological systems for investigating the spatial and temporal dynamics of cyclic adenosine monophosphate and cyclic guanosine monophosphate signaling, including biosensors, live-cell imaging, and genome editing. We further discuss applications in physiological and pathological contexts, including metabolic, cardiovascular and cancer diseases, and outline current challenges and future perspectives for integrating three-dimensional and organ-on-chip technologies. Full article

Contemporary patient-specific subperiosteal implants (SPIs) have re-emerged as digitally planned, additively manufactured solutions for oral and maxillofacial rehabilitation when conventional endosseous implants are limited by severe atrophy, anatomical constraints, or reconstructive defects. Unlike conventional implants, SPIs behave as fixation-based skeletal frameworks whose performance depends on passive fit, screw fixation, anchorage, framework architecture, material properties, manufacturing accuracy, and prosthetic load transfer. This scoping review evaluated the maturity of mechanical design and validation evidence for contemporary SPIs. Following a predefined internal protocol and PRISMA-ScR, MEDLINE/PubMed, Scopus, Web of Science, Embase, and the Cochrane Library were searched from inception to 13 June 2026. Reference-list screening and citation tracking supplemented the electronic search. Two reviewers independently screened records against predefined eligibility criteria. Data were charted using a predefined extraction form and synthesized descriptively by evidence type, engineering domain, validation stage, and translational status. No meta-analysis was undertaken because of methodological heterogeneity, and no formal risk-of-bias grading was applied. Across 65 included records, the evidence was dominated by descriptive technical studies and comparative computational analyses, whereas direct mechanical testing, fatigue assessment, manufacturing verification, and clinical correlation were limited. Finite element analysis was useful for comparing design alternatives and identifying stress concentrations, but models were heterogeneous and often insufficiently validated. Design modifications generally redistributed stress across the implant–prosthesis–bone system rather than reducing it globally. Titanium and Ti6Al4V were the most established framework materials, whereas polymeric, ceramic, and scaffold-assisted strategies remained preliminary. The principal contribution of this review is a cross-domain appraisal of progression from anatomical feasibility and comparative modeling to manufacturing verification, experimental testing, and clinical validation. An evidence map, minimum reporting checklist, and integrated validation pathway are provided to support reproducible device development. Full article