Search Results (10,885)

This study explores the implementation of gamification as an instructional strategy to support the learning of whole numbers in a rural Colombian school with limited technological resources. The intervention involved 23 sixth-grade students who participated in a Genially based digital escape room titled “Agent 00+7.” The activity was structured around five missions designed to foster motivation, collaboration, and active participation. A survey instrument encompassing five dimensions—motivation, role performance, task completion, learning/interaction, and gro integration—was administered across all missions, producing 180 valid responses. The instrument demonstrated strong internal consistency (Cronbach’s α = 0.872). Data were analyzed using one-way ANOVA, revealing significant mission-level variations in students’ perceived motivation, role performance, task completion, and integration, while learning/interaction remained stable. These outcomes suggest that gamified digital environments may shape students’ perceptions of engagement and teamwork, even in resource-constrained settings. Although the results are exploratory and descriptive, given the absence of a control group or pre–post comparison, they provide preliminary evidence of the feasibility and pedagogical promise of gamification in rural educational contexts, contributing to the advancement of Sustainable Development Goals (SDGs) 4, 9, and 10. Full article

Schmitt Triggers are essential building blocks in noise-resilient systems and are useful in managing switching behavior in low-power designs. Yet, as CMOS technologies scale down, their designs become increasingly challenging. This paper presents a comprehensive investigation into the performance and reliability of multiple Schmitt Trigger topologies across two CMOS technology nodes (180 nm and 45 nm), with a particular focus on transistor sizing and layout optimization through multi-finger transistor structures. A series of pre-layout and post-layout simulations reveal that fingered implementations significantly enhance hysteresis robustness, switching speed, and delay consistency in PVT variations. Notably, post-layout results in 45 nm technology demonstrate remarkable improvements in both speed and power efficiency. This highlights the inadequacy of schematic-level models to predict the true behavior of fingered transistor configurations. Additionally, we explored the implications of finger designs on reliability concerns including electromigration and IR drop to determine the tradeoff between interconnect reliability optimization and internal routing. The findings establish practical design guidelines for optimizing number of fingers based on device width and technology node, offering new insights into layout-aware Schmitt Trigger design for high-performance and area-constrained applications. Full article

The application of Artificial Intelligence (AI) in river basin pollution control shows great potential to improve governance efficiency through real-time monitoring, pollution prediction, and intelligent decision-making. However, its rapid development also brings regulatory challenges, including data privacy, algorithmic bias, responsibility definition, and cross-regional coordination. Based on the SETO loop framework (Scoping, Existing Regulation Assessment, Tool Selection, and Organizational Design), this paper systematically analyzes the regulatory needs and pathways for AI in watershed water pollution control through typical case studies from countries such as China and the United States. The study first defines the regulatory scope, focusing on protecting the ecological environment, public health, and data security. It then assesses the shortcomings of existing environmental regulations in governing AI, such as their inability to adapt to dynamic pollution sources. Subsequently, it explores suitable regulatory tools, including information disclosure requirements, algorithmic transparency standards, and hybrid regulatory models. Finally, it proposes a multi-tiered organizational scheme that integrates international norms, national legislation, and local practices to achieve flexible and effective regulation. This study demonstrates that the SETO loop provides a viable framework for balancing technological innovation with risk prevention and control. It offers a scientific basis for policymakers and calls for establishing a dynamic, layered regulatory system to address the complex challenges of AI in environmental governance. Full article

Background/Objectives: Open Notes—defined as patients’ electronic, portal-based access to clinicians’ narrative documentation within electronic health records (EHRs)—has become routine through policy and portal initiatives. In mental health (MH), transparency intersects with sensitive formulation and risk language, making outcomes contingent on documentation practices, release timing, and reader support. This scoping review mapped empirical evidence on experiences, perceived impacts, and implementation of Open Notes in MH across stakeholders and settings, deriving implications for practice, training, and policy. Methods: A PRISMA-ScR-guided review was conducted with a preregistered protocol on OSF. Eligible studies examined Open Notes in MH settings and reported stakeholder perspectives. Two reviewers independently screened and extracted data, analyzed through inductive narrative thematic synthesis. Results: Twenty-two studies (2012–2025) from the USA, Sweden, Germany, Canada, and international settings included surveys, qualitative interviews, mixed-methods designs, pilot and quasi-experimental implementations, and a Delphi consensus. Patients consistently reported improved comprehension, recall, empowerment, and—in some cases—greater trust. Large surveys identified error detection and patient-initiated corrections as safety mechanisms, while a minority reported worry or feeling judged by wording. Clinicians adapted documentation—modifying tone, wording, or candor—to minimize misinterpretation. Workload effects were generally modest, limited to occasional clarifications. Implementation and expert studies emphasize organizational readiness, training, patient preparation, and privacy-aware portal design as key enablers of safe transparency. Conclusions: In MH, Open Notes function as a communication and engagement tool that strengthens partnership, comprehension, and safety when implemented with attention to risk-sensitive documentation and privacy safeguards. Full article

Rapid urban expansion and increasing population density intensify the loss of open spaces, exacerbate flooding frequency and runoff pollution, increase the urban heat island effect, and deteriorate ecological resilience and human well-being. This study presents Gazelle Valley Park (GVP) in Jerusalem (Israel), a unique large-scale ecohydrological infrastructure within a dense Mediterranean city. GVP was established in 2015 following a public-led campaign and comprises a multifunctional nature-based solution designed to collect and circulate stormwater through a series of vegetated ponds, enhancing filtration, aeration, and pollutant removal, while sustaining a wetland ecosystem. Its design follows international ecological standards and embodies the principle “from nuisance to resource”, transforming urban runoff into an asset that supports rich biodiversity while offering recreational, cultural, and educational activities. During the dry summer, reclaimed wastewater is introduced in order to support a perennial aquatic habitat, which introduces various challenges due to increased salinity, oxygen demand, and contaminants. Hydrometric and geochemical monitoring demonstrates strong correlations between rainfall and runoff and point at the role of sedimentation and vegetation in reducing pollutant loads. The park benefits from its holistic operation, where hydrology, ecology, education, and public engagement are integrated, thus making the whole greater than the sum of its parts. Full article

Accurate volumetric modeling of indoor spaces is essential for emerging 3D cadastral systems, yet existing workflows often rely on manual intervention or produce surface-only models, limiting precision and scalability. This study proposes and validates an integrated, largely automated workflow (named VERTICAL) that converts classified indoor point clouds into topologically consistent 3D solids served as materials for land surveyor’s cadastral analysis. The approach sequentially combines RANSAC-based plane detection, polygonal mesh reconstruction, mesh optimization stage that merges coplanar faces, repairs non-manifold edges, and regularizes boundaries and planar faces prior to CAD-based solid generation, ensuring closed and geometrically valid solids. These modules are linked through a modular prototype (called P2M) with a web-based interface and parameterized batch processing. The workflow was tested on two condominium datasets representing a range of spatial complexities, from simple orthogonal rooms to irregular interiors with multiple ceiling levels, sloped roofs, and internal columns. Qualitative evaluation ensured visual plausibility, while quantitative assessment against survey-grade reference models measured geometric fidelity. Across eight representative rooms, models meeting qualitative criteria achieved accuracies exceeding 97% for key metrics including surface area, volume, and ceiling geometry, with a height RMSE around 0.01 m. Compared with existing automated modeling solutions, the proposed workflow has the ability of dealing with complex geometries and has comparable accuracy results. These results demonstrate the workflow’s capability to produce topologically consistent solids with high geometric accuracy, supporting both boundary delineation and volume calculation. The modular, interoperable design enables integration with CAD environments, offering a practical pathway toward an automated and reliable core of 3D modeling for cadastre applications. Full article

Modal analysis is essential for evaluating the small-signal stability of power systems by identifying poorly damped oscillatory modes. This paper introduces an automated framework for residue computation directly within DIgSILENT PowerFactory, exploiting its internal state-space matrices and scripting environment. Unlike traditional approaches that rely on external data processing, the proposed method enables a fully integrated, repeatable, and scalable workflow for residue-guided control design. The framework automatically extracts and computes modal residues, quantifying both controllability and observability to identify the most effective control locations. Its application to benchmark systems demonstrates accurate detection of critical modes and effective damping enhancement through residue-based tuning. This integration of automated residue analysis into PowerFactory bridges theoretical modal analysis with practical implementation, offering a novel and efficient tool for oscillatory stability assessment in modern power grids. Full article

The decarbonization of shipping and shipbuilding is a critical challenge under the Inter-national Maritime Organization’s (IMO) 2030 greenhouse gas (GHG) reduction target and 2050 net-zero strategy, requiring effective coordination between policy and technology. This study investigates how Japan, China, and Korea respond to these regulatory pressures by systematically analyzing their policy–technology linkages. A four-stage design was applied, combining qualitative case studies, policy–technology mapping, theoretical interpretation, and comparative analysis, to trace how national strategies shape eco-friendly transitions. Japan employs an innovation-led, institution-convergent model in which technological demonstrations drive institutional adaptation and diffusion, China follows a policy-designated, execution-oriented model where state-led interventions accelerate commercialization, and Korea adopts a coordination-based, cyclical model balancing public demonstrations, financial support, and international standardization to reduce transition costs. These findings demonstrate that sequencing between policy–technology linkage is context-dependent, shaped by technological maturity, economic feasibility and infrastructure, institutional predictability, and socio-environmental acceptance. The study contributes a cyclic co-evolutionary perspective that moves beyond technological or institutional determinism, reconceptualizes regulation as enabling infra-structure, and identifies implications for global standard-setting and industrial competitiveness. The insights inform practical strategies for major shipbuilding nations to reduce costs while sustaining competitiveness under the IMO’s decarbonization framework. Full article

A high-performance liquid chromatography (HPLC) method using a diode array detector (DAD) was developed and validated for the simultaneous quantification of chlorogenic acid, rutin, and isoquercitrin, which are key bioactive compounds in Cudrania tricuspidata leaves. The method demonstrated excellent specificity, precision, and accuracy in accordance with the guidelines of the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH). Calibration curves showed outstanding linearity (r² > 0.99), with recovery rates of 101.63%, 101.81%, and 102.18% for chlorogenic acid, rutin, and isoquercitrin, respectively. The limits of detection (LOD) were 0.286, 0.411, and 0.201 μg/mL, and the limits of quantification (LOQ) were 1.246, 0.866, and 0.608 μg/mL for chlorogenic acid, rutin, and isoquercitrin, respectively. Additionally, response surface methodology (RSM) based on a Box–Behnken design was employed to optimize the extraction conditions of the three marker compounds. The second-order regression models showed high coefficients of determination (r²) and significant ANOVA results (p < 0.05). RSM analysis revealed that extraction temperature and ethanol concentration exerted the most significant effects on the extraction yields, while extraction time played a supportive role. The optimal conditions (70 °C, 40% ethanol, 120 min) significantly enhanced compound recovery while reducing solvent and energy consumption, thereby contributing to the development of efficient and sustainable extraction processes. Collectively, the validated HPLC-DAD method and the optimized extraction strategy developed in this study provide a reliable framework for the quality standardization and industrial application of C. tricuspidata leaf extracts in functional food, cosmetic, and pharmaceutical products. Full article

Radionuclide molecular imaging of epidermal growth factor receptor (EGFR) expression might permit the selection of patients for EGFR-targeting therapies. Designed ankyrin repeat protein (DARPin) E01 with a high affinity to the ectodomain III of the EGFR is a possible EGFR imaging probe. The goal of this study was to evaluate the potential of radiolabeled DARPin E01 for in vivo imaging of EGFR. DARPin E01 containing the (HE)₃-tag was site-specifically labeled with a residualizing ^99mTc (using ^99mTc]Tc(CO)₃). Two methods providing non-residualizing ¹²³I labels, direct electrophilic radioiodination and indirect radioiodination using [¹²³I]I-para-iodobenzoate (PIB), were tested. [^99mTc]Tc-(HE)₃-E01 and [¹²³I]I-(HE)₃-E01-PIB preserved specific binding to EGFR-expressing cells and affinity in the single-digit nanomolar range. Direct labeling with ¹²³I resulted in a substantial loss of binding. In vitro cellular processing studies showed that both [^99mTc]Tc-(HE)₃-E01 and [¹²³I]I-(HE)₃-E01-PIB had rapid binding and relatively slow internalization. Evaluation of [^99mTc]Tc-(HE)₃-E01 biodistribution in normal CD1 mice showed that its hepatic uptake was non-saturable, suggesting that this tracer does not bind to murine EGFR. A side-by-side comparison of biodistribution and tumor targeting of [^99mTc]Tc-(HE)₃-E01 and [¹²³I]I-(HE)₃-E01-PIB was performed in Nu/j mice bearing EGFR-positive A-431 and EGFR-negative Ramos human cancer xenografts. Both radiolabeled DARPins demonstrated EGFR-specific tumor uptake. However, [¹²³I]I-(HE)₃-E01-PIB had appreciably lower uptake in normal organs compared to [^99mTc]Tc-(HE)₃-E01, which provided significantly (p < 0.05) higher tumor-to-organ ratios. Gamma-camera imaging confirmed that [¹²³I]I-(HE)₃-E01-PIB demonstrated a higher imaging contrast in preclinical models than [^99mTc]Tc-(HE)₃-E01. In conclusion, DARPin (HE)₃-E01 labeled using a non-residualizing [¹²³I]I-para-iodobenzoate (PIB) label is the preferred radiotracer for in vivo imaging of EGFR expression in cancer. Full article

To address the difficulty of directly detecting internal stresses in high-temperature forgings during dual-manipulator control experiments and the significant safety risks associated with high-temperature environments, this study developed an experimental device to simulate the deformation behavior of such forgings. First, numerical simulations of the elongation process were conducted using DEFORM V11 software to examine the deformation mechanisms of high-temperature forgings. Quantitative results for axial deformation, maximum deformation velocity, and deformation force ranges were obtained, which defined the operational specifications and functional requirements of the device. Second, the mechanical structure and hydraulic system were designed based on engineering principles. The dynamic response characteristics of the simulation device under conventional PID and fuzzy PID control were compared through simulations, and the feasibility of the fuzzy PID control strategy was experimentally verified. Finally, a joint simulation model of the high-temperature forging deformation simulation device and the dual forging manipulator clamping system was established. This model was used to analyze the dynamic response of the simulated workpiece under typical cooperative conditions of dual manipulators and to assess the accuracy of the simulation process during clamping. The results confirmed the practical applicability of the device. Overall, the developed simulation device can effectively reproduce the deformation behavior of high-temperature forgings under ambient conditions, providing a safe and reliable platform for studying coordinated control strategies of dual forging manipulators. Full article

The current global economic challenges and resource scarcity necessitate the development of cost-effective and sustainable pavement solutions. This study investigates the performance of asphalt mixtures modified with Low-Density Polyethylene (LDPE) and Styrene–Butadiene–Styrene (SBS) as binder modifiers, and Hydrated Lime (Ca(OH)₂) and Reclaimed Asphalt Pavement (RAP) as aggregate replacements. The research aims to optimize the combination of these materials for enhancing the durability, sustainability, and mechanical properties of asphalt mixtures under various climatic and traffic conditions. Asphalt mixtures were modified with 5% LDPE and 2–6% SBS (by bitumen weight), with 2% Hydrated Lime and 15% RAP added to the mix. The performance of these mixtures was evaluated using the Simple Performance Tester (SPT), focusing on rutting, cracking, and fatigue resistance at varying temperatures and loading frequencies. The NCHRP 09-29 Master Solver was employed to generate master curves for input into the AASHTOWare Mechanistic-Empirical Pavement Design Guide (MEPDG), allowing for an in-depth analysis of the modified mixes under different traffic and climatic conditions. Results indicated that the mix containing 5% LDPE, 2% SBS, 2% Hydrated Lime, and 15% RAP achieved the best performance, reducing rutting, fatigue cracking, and the International Roughness Index (IRI), and improving overall pavement durability. The combination of these modifiers showed enhanced moisture resistance, high-temperature rutting resistance, and improved dynamic modulus. Notably, the study revealed that in warm climates, thicker pavements with this optimal mix exhibited reduced permanent deformation and better fatigue resistance, while in cold climates, the inclusion of 2% SBS further improved the mix’s low-temperature performance. The findings suggest that the incorporation of LDPE, SBS, Hydrated Lime, and RAP offers a sustainable and cost-effective solution for improving the mechanical properties and lifespan of asphalt pavements. Full article

Electric vehicles (EVs) are emerging as cost-effective and eco-friendly alternatives to gasoline cars, but widespread adoption still faces hurdles, notably the scarcity of public fast-charging stations. This paper proposes an optimal method to locate and size a fast-charging station in Barcelona, integrating solar photovoltaics (PV) and a battery energy storage system (BESS). The goal is to reduce range anxiety, cut investment costs, and minimize environmental impact. We introduce a modular, scalable station design compatible with second-life batteries and PV panels. Our methodology is twofold: first, determining the optimal charging infrastructure configuration; second, calculating financial viability via net present value (NPV) and internal rate of return (IRR). Results indicate that PV and BESS installation represents the largest cost component, yet energy independence enables rapid capital recovery, with payback in around four years. Selling surplus energy can generate an additional ~4% profit. NPV and IRR values confirm feasibility for scenarios using PV, BESS, or both. Particularly in the highway deployment scenario, combining PV and BESS yields a 72% reduction in greenhouse gas emissions. Overall, our study demonstrates that integrating renewable generation and storage into fast-charging infrastructure in Barcelona is both economically viable and environmentally beneficial. Full article

This research presents the application of Reinforcement Learning (RL) techniques to optimise aerodynamic profiles in real time, within the context of morphing wings. By implementing Proximal Policy Optimisation (PPO), a methodology has been developed that learns to satisfy both aerodynamic objectives and complex geometric constraints, such as internal spatial limitations or payload integration volumes. The approach achieves an effective balance between performance and constraint satisfaction while maintaining low computational cost and millisecond-level optimisation speed. A scalable tool has been developed for real-time optimisation in such contexts, with applications in adaptive design for both manned and unmanned aviation. Full article

Atopic eczema is the most prevalent chronic dermatitis in childhood, characterised by relapsing pruritic lesions and significant heterogeneity in clinical expression and immunological profile. The disease impacts quality of life and healthcare systems, especially when persistent into adulthood. Epidemiological data from the International Study of Asthma and Allergies in Childhood (ISAAC) demonstrate significant geographic and temporal variability in the prevalence of atopic eczema, with an overall upward trend observed in paediatric populations across most regions. A systematic literature search was conducted in PubMed, ScienceDirect, and the Cochrane Library to identify relevant studies published between 1990 and 2025. Seven studies met the inclusion criteria—six cross-sectional and one prospective—conducted in the urban centres of Athens, Thessaloniki, and Patras. Sample sizes ranged from 517 to 3076 participants, encompassing children and adolescents aged 6 to 17. Prevalence rates ranged from 4.5% to 16.1% in children and 8.9% in adolescents, with notable geographic and temporal variability. Male sex, younger age, environmental exposures, and a family history of atopic diseases were identified as key risk factors. Comparative data from European studies reflect similar trends, with increasing atopic eczema prevalence and plateauing asthma rates suggesting distinct etiological pathways. The psychosocial and economic burden of atopic eczema remains substantial, highlighting the need for early recognition and effective management. Despite methodological variability and limitations in study design, findings indicate an underestimation of atopic eczema prevalence in Greece and underscore the importance of standardised epidemiologic surveillance. Full article