Search Results (13,219)

Borehole trajectory control is a fundamental task for directional well engineers. Now that there are inevitable errors about single-stand control in the field situation, it is difficult to deal with the complex underground problems in real time. In order to improve the efficiency of directional operation and the accuracy of wellbore trajectory control, this paper presents an improved Sparrow Search algorithm by integrating the multi-strategy model and Constant-Toolface models to calculate the single-stand control scheme for single-bent-housing motors in directional drilling. To evaluate the performance of the algorithm, the Particle Swarm algorithm, the Sparrow Search algorithm, and the improved Sparrow Search algorithm (LCSSA) are used to optimize the process parameters for each drilling, respectively. Numerical tests based on drilling data show that all three algorithms can predict the drilling parameters. In contrast, the LCSSA exhibits the fastest convergence and the smallest error after optimizing single-stand control, attaining an average convergence time of 0.08 s. It accurately back-calculated theoretical model parameters with high accuracy and met engineering requirements when applied to actual drilling data. In field applications, the LCSSA reduces the deviation from the planned trajectory by over 25%, restricting the deviation to within 0.005 m per stand; additionally the total drilling time was reduced by at least 18% compared to previous methods. The integration of the LCSSA with the drilling system significantly enhances drilling operations by optimizing trajectory accuracy and boosting efficiency and serves as an advanced tool for designing process parameters. Full article

Urban landscapes have given rise to novel ecosystems (e.g., green areas), which differ in design and ecological quality depending on local planning strategies. Europe has the goal to increase conservation through increasing greenspace; however, urban wildlife health impacts, particularly on birds, are poorly studied. This study investigates associations between haemosporidians and intestinal coccidia in the Eurasian Tree Sparrow (Passer montanus), as well as their body condition and immunological status, from five urban green areas in Madrid, Spain, from 2019 to 2022. These green areas differ in green infrastructure, and because these birds are adapted to urban environments, they are a good model to evaluate how green area infrastructure may affect the birds’ health. We detected a 29% prevalence of haemosporidians (Haemoproteus being the most common, followed by Leucocytozoon and Plasmodium) and a 4% prevalence of intestinal coccidia. We found that haemosporidian prevalence was significantly higher in green areas with untreated stagnant water surrounded by muddy areas, ideal conditions for vector reproduction. Therefore, effective management strategies, especially related to water treatment, are essential for protecting urban wildlife and human health. This study provides valuable information for researchers and urban wildlife managers to incorporate appropriate management strategies into urban green area planning to preserve urban biodiversity and protect public health. Full article

Urban sustainability poses a deeply interdisciplinary challenge, spanning technical fields like data science and environmental science, design-oriented disciplines like architecture and spatial planning, and domains such as economics, policy, and social studies. While numerous advanced tools are used in these domains, ranging from geospatial systems to AI and network analysis-, they often remain fragmented, domain-specific, and difficult to integrate. This paper introduces a semantic framework that aims not to replace existing analytical methods, but to interlink their outputs and datasets within a unified, queryable knowledge graph. Leveraging semantic web technologies, the framework enables the integration of heterogeneous urban data, including spatial, network, and regulatory information, permitting advanced querying and pattern discovery across formats. Applying the methodology to two urban contexts—Thessaloniki (Greece) as a full implementation and Marine Parade GRC (Singapore) as a secondary test—we demonstrate its flexibility and potential to support more informed decision-making in diverse planning environments. The methodology reveals both opportunities and constraints shaped by accessibility, connectivity, and legal zoning, offering a reusable approach for urban interventions in other contexts. More broadly, the work illustrates how semantic technologies can foster interoperability among tools and disciplines, creating the conditions for truly data-driven, collaborative urban planning. Full article

Introduction: Ecological networks (ENs) are critical frameworks designed to protect biodiversity, enhance habitat connectivity, and provide ecosystem services in fragmented landscapes. Urban ecological networks (UENs) adapt this concept to address the challenges posed by urbanization, habitat fragmentation, and climate change. Methods: This systematic review follows the PRISMA methodology, with the search strategy applied across PubMed, Scopus, and Web of Science. Articles published until 29 July 2025, were evaluated based on their alignment with One Health domains: human, animal, and ecosystem health. The included studies underwent independent review and quality assessment using the Newcastle–Ottawa Scale. Results: Only nine of the 228 articles that were found satisfied the requirements for inclusion. These studies examined UENs’ effects on biodiversity, species migration, and climate resilience but lacked direct evaluation of human health impacts. Key findings highlighted the role of ecological corridors in improving habitat connectivity, promoting biodiversity, and mitigating climate-related fragmentation. Conclusions: While UENs show significant potential to enhance biodiversity and urban resilience, their direct impacts on human health remain underexplored. Future interdisciplinary research should focus on quantifying these links and integrating UENs into urban planning to address ecological and Public Health challenges under a One Health framework. Full article

Three-dimensional (3D) printing offers new opportunities in surgical planning and medical education, yet high costs and technological complexity often limit its widespread use, especially in low-resource settings. This study presents a personalized, cost-effective, and anatomically accurate liver model designed using open-source tools and affordable 3D-printing techniques. Segmentation of hepatic CT images was performed in 3D Slicer using a region-growing method, and the resulting models were optimized and exported as STL files. The external mold was printed with Fused Deposition Modeling (FDM) using PLA+, while internal structures such as vessels and tumors were fabricated via Liquid Crystal Display (LCD) printing using PLA Pro resin. The final assembly was cast in food-grade gelatin to mimic liver tissue texture. The complete model was produced for under USD 50, with an average total production time of under 128 h. An exploratory pedagogical evaluation with five medical trainees yielded high Likert scores for anatomical understanding (4.6), spatial awareness (4.4), planning confidence (4.2), and realism (4.4). This model demonstrated utility in preoperative discussions and training simulations. The proposed workflow enables the fabrication of low-cost, realistic hepatic phantoms suitable for education and surgical rehearsal, promoting the integration of 3D printing into everyday clinical practice. Full article

Establishing a sustainable framework for remediating environmental degradation caused by historical mining operations in the Sierra Minera of Cartagena-La Unión, southeastern Spain, is a critical imperative. When the reclamation requirements of the post-mining district are considered in the context of its critical location, nested among conflicting land uses, the development of practical solutions to restore ecological and cultural functions emerge as a landscape planning challenge. The greenway approach emphasizes the primary ecological and functional corridors that sustain the vitality of the region; therefore, it is essential to preserve and enhance these critical lifelines. This study aimed to design a localized greenway network to support the conservation of key ecological, agricultural, and cultural resources within the area, while simultaneously promoting reclamation activities in degraded zones. The greenway corridor is built upon key elements: conservation areas, post-mining cultural resources, dry riverbeds, and agricultural zones. In the light of greenway approach, planners and land managers can make their decisions more judiciously by considering the priority zones. The protection, leveraging, and reclamation of significant resources can be provided through a multifunctional greenway approach as seen in the case of Cartagena-La Unión Post-Mining District. Full article

Encouraging farmers to adopt low-carbon agricultural technologies is a vital strategy for addressing climate change and fostering a harmonious relationship between humans and nature. An initial step is understanding the formation of farmers’ willingness to adopt them. This study adopts an integrated theoretical framework combining the Theory of Planned Behavior and the Norm Activation Model to explore the determinants and formation process of farmers’ adoption intentions. Using survey data from 1008 farmers in Shandong Province, the study employs Structural Equation Modeling to empirically examine the influencing factors and mechanisms underlying farmers’ willingness to adopt low-carbon agricultural technologies. The results reveal that perceived behavioral control, subjective norm, and attitudes toward behavior serve as the critical external driving forces for the formation of adoption intention, whereas personal norms act as the core intrinsic motivation by fostering farmers’ sense of ecological responsibility. Multi-group analysis reveals socio-demographic heterogeneity: perceived control drives males and wealthier, less-educated farmers; subjective norms influence younger, educated groups; attitudes affect females and low-income farmers, while personal norms dominate among older farmers. Therefore, policy design should enhance farmers’ resource accessibility, strengthen social demonstration, and cultivate ecological ethics with tailored incentives, thereby promoting the widespread adoption of low-carbon agricultural technologies. Full article

Coastal erosion is a growing concern in the Mediterranean region, where the combined effects of anthropogenic pressure, reduced fluvial sediment supply, and climate change-driven sea level rise and extreme storm events threaten the stability of sandy shorelines. This study examines the geomorphological impacts of the exceptional storm surge of 3 November 2023, associated with Storm Ciaran, which affected a vulnerable coastal segment north of the Morto Nuovo River in northern Tuscany (Italy). Using UAV-based photogrammetric surveys and high-resolution morphological analysis, we quantified shoreline retreat, dune toe regression, beach slope changes, and sediment volume loss. The storm induced an average shoreline retreat of over 5 m, with local peaks reaching 30 m, and a dune toe setback of up to 7 m. A net sediment budget deficit of approximately 1800 m³ was recorded, over 50% of the total volume added during soft nourishment interventions performed in the previous decade. Our findings highlight how a single high-energy event can match or exceed the annual average erosion rate, emphasizing the limitations of traditional shoreline-based monitoring and hard defense structures. This study highlights the importance of frequent, high-resolution monitoring focused on individual storm events, which is crucial to better understand their specific geomorphological impacts. Such detailed analyses help clarify whether long-term erosion trends are primarily driven by the cumulative effect of high-energy events. This knowledge is essential for identifying the most effective coastal protection strategies and for improving the design of defense structures. This approach is particularly relevant in the context of climate change, which is expected to increase the frequency and intensity of extreme events, making it imperative to base future planning on accurate, event-driven data. Full article

The HEPscore benchmark, widely used for evaluating computational performance in high-energy physics, has been identified as requiring energy consumption metrics to address the increasing importance of energy efficiency in large-scale computing infrastructures. This study introduces an energy measurement extension for HEPscore, designed to operate across diverse hardware platforms without requiring administrative privileges or physical modifications. The extension utilizes the Running Average Power Limit (RAPL) interface available in modern processors and dynamically selects the most suitable measurement method based on system capabilities. When RAPL access is unavailable, the system automatically switches to alternative measurement approaches. To validate the accuracy of the software-based measurements, external hardware monitoring devices were used to collect reference data directly from the power supply circuit. Obtained results demonstrate a significant correlation across multiple test platforms running standard HEP workloads. The developed extension integrates energy consumption data into standard HEPscore reports, enabling the calculation of energy efficiency metrics such as HEPscore/Watt. This implementation meets the requirements of the HEPiX Benchmarking Working Group, providing a reliable and portable solution for quantifying energy efficiency alongside computational performance. The proposed method supports informed decision making in resource planning and hardware acquisition for HEP computing environments. Full article

Cardiovascular disease (CVD) remains the leading cause of death worldwide, with elevated low-density lipoprotein cholesterol (LDL-C) as a major risk factor. Beyond medications, dietary interventions and functional foods offer significant cholesterol-lowering potential. This article provides a comprehensive review of functional foods and nutraceutical ingredients that help to reduce cholesterol levels and introduces the novel Cholesterol-Lowering Capacity Index (CLCI), designed to quantify and communicate the efficacy of such foods. In doing so, it summarizes key functional components, including plant sterols/stanols, viscous fibers, soy protein, red yeast rice, berberine, polyphenols (e.g., bergamot extract, garlic), and others, highlighting their mechanisms of action and the typical LDL-C reductions observed in clinical studies. Strategies for the design of next-generation cholesterol-lowering foods are discussed, such as combining multiple bioactives for synergistic effects, personalized nutrition approaches, and novel food processing techniques to enhance bioavailability. Building on these strategies, the CLCI is then proposed as a practical scoring system, analogous to the glycemic index for blood sugar, that integrates the evidence-based potency of ingredients, effective dosing, and synergistic interactions into a single metric. A methodology for the calculation of the CLCI is presented, alongside potential applications in food labeling, clinical guidance, and dietary planning. Full article

This study aims to explore the effectiveness of a problem-solving method, grounded in Pólya’s methodological proposal and complemented by a STEM electronic educational kit, in strengthening the research competences of newly admitted nursing students at a public university in Peru. The research followed a quantitative approach using a quasi-experimental design with pre- and post-test measurements applied to a group of students who addressed real community health issues in their local context. The intervention was structured into four phases: understanding the problem, planning activities, execution, and reviewing the solution. The results showed significant improvements across all phases, particularly in problem analysis, autonomous planning, technological application, and critical thinking. The Wilcoxon test yielded p-values < 0.05 in all evaluated dimensions, allowing the rejection of the null hypothesis and confirming the effectiveness of the intervention. It is concluded that the problem-solving method, when integrated with relevant technological tools, is an effective strategy to promote formative research in vulnerable educational contexts. Moreover, it aligns with the Sustainable Development Goals—specifically SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities)—by fostering inclusive, equitable, and contextually relevant education through socially and technologically meaningful innovation. Full article

The vulnerability of older adults in rural mountainous regions presents a critical challenge for sustainable development, particularly in the context of smart city and digital town construction. In this study, we develop a comprehensive analytical framework and evaluation index to assess Vulnerability to Elderly Poverty (VEP) and adaptive capacity, with a focus on its integration with smart infrastructure and age-friendly rural built environment strategies. Using Shizhu County in Chongqing, China, as a case study, we explore spatial disparities in VEP and apply quantile regression to identify the driving factors of adaptability. Our findings indicate that subsidy-dependent, middle-aged, and empty-nest older adults are the most vulnerable groups, with limited capacity to adapt to changing environments. A geographically alternating “high–low–high–low” VEP pattern reflects uneven development in infrastructure, accessibility, and public service construction. These disparities highlight the need for targeted planning and building interventions in rural settings. The key factors influencing adaptability include individual attributes, intergenerational support, and macro-level conditions such as policy design and digital infrastructure deployment. The integration of aging-friendly building strategies, smart infrastructure, and digital tools significantly enhances older adults’ resilience and social inclusion. Based on our results, we propose four adaptation models for aging populations in rural areas, emphasizing the construction of inclusive digital infrastructure, aging-sensitive building design, and community-based support systems. Strategic recommendations include promoting digital literacy through built environment interventions, enhancing intergenerational living arrangements, and embedding elderly-responsive features into smart construction planning. This research offers new insights into construction management practices that support aging in place and poverty alleviation through inclusive and resilient built environments. Full article

Shared energy storage (SES) systems, operating alongside microgrid clusters, can effectively mitigate power fluctuations and reduce the operational costs of independently constructed energy storage systems. Consequently, capacity allocation planning for SES in microgrid clusters has emerged as a crucial technology for achieving the system’s economical and efficient operation. This paper presents a two-layer optimal allocation model utilizing the Alternating Direction Method of Multipliers (ADMMs) to characterize system operation precisely. By establishing a refined mathematical model of a microgrid cluster with SES and analyzing the energy flow interaction mechanisms inside the cluster, along with the configuration scheme for SES capacity. The upper layer optimization of the model minimizes operational and maintenance investment costs associated with designing the capacity of SES, while the lower layer model optimizes the operation scheduling with the goal of the lowest operation cost. To illustrate the efficacy and benefits of the proposed method, case studies are conducted in different scenarios comparing the proposed method with the conventional method to analyze the power distribution features of the microgrid and the allocation planning of shared energy storage capacity. Full article

This study investigates cross-border cascading hazards and infrastructure vulnerabilities in the Sava River Basin, a seismically active and flood-prone region spanning the Slovenia–Croatia border. Conducted within the CROSScade project, the research focuses on assessing cross-border hazards and the vulnerabilities of levees and bridges. Key earthquake and flood scenarios were identified using advanced hydraulic and seismic modelling, forming the basis for evaluating the cascading effects of these events, including the potential failure of hydropower plants and associated flood protection systems. The analysis reveals that levees are particularly vulnerable to failure during the recession phase of flooding that follows an earthquake. At the same time, bridges are primarily affected by seismic loading, with minimal structural impact from flood forces. These findings underscore the pressing need for enhanced cross-border collaboration, updated design standards, and the reinforcement of critical infrastructure. The study provides essential insights for multi-hazard resilience planning and emphasises the importance of integrated risk assessments in managing cascading disaster impacts across national boundaries. Full article

Traditional Forest Management Plans (FMPs), which often span hundreds of pages on paper, present significant challenges due to their extensive length and lack of clear spatiotemporal context. This study aimed to integrate complex data from FMPs into an interactive, spatially referenced database. Using Gârda Forest in Romania’s Apuseni Mountains as a case study, we gathered raw data, developed the geodatabase’s spatial and alphanumerical components, and conducted spatial analyses related to ecological and production factors. Our GIS was designed to accommodate multiple attributes within the compartment layer’s attribute table. Unlike previous studies, we incorporated the full range of information from the Compartment Description, not just isolated management aspects. This comprehensive approach enabled spatial analysis to highlight, in maps, key features across the 50 compartments (totaling 752.5 ha) including dominant species (Norway spruce, silver fir, beech), target species composition (Norway spruce as the predominant target), land protection needs (required for 4% of the area), median forest volume (1565 m³ per compartment), elevation range (1020–1420 m), compartments with production functions, and silvicultural treatments. These thematic maps provide a tool for further analyses and clear spatial visualization. Our GIS-based methodology supports rapid condition assessments and aids forest professionals and decision-makers in promoting sustainable forest management. Full article