Search Results (4,025)

This study proposes a scenario-based conceptual model for transforming underground parking structures into sustainable interior green spaces, directly addressing two core research dimensions: energy efficiency and user experience. The originality of the research lies in repositioning subterranean spaces—often overlooked in urban planning—as climate-responsive, multi-functional public environments. Using a site-specific case in downtown Rize, Türkiye, three design scenarios—passive green walls, active modular systems, and experimental micro-farming—were comparatively analyzed. These scenarios were assessed through AI-assisted simulations and climate-based performance evaluations in terms of environmental benefits, thermal regulation, carbon reduction, and experiential quality. Underground space leads to green design interventions, which in turn generate environmental, energy, and social benefits. The results demonstrate that passive systems provide cost-effective improvements, active modular systems achieve balanced performance, and experimental micro-farming yields the highest ecological and social benefits. The study uniquely contributes to urban sustainable design by integrating climate-adaptive strategies, biophilic design principles, and AI-supported visualization into the transformation of underground structures. This research not only advances academic discourse but also provides policy-relevant insights for local governments, developers, and communities in the context of urban renewal. Full article

Landscape structure significantly impacts ecosystem services, yet the stability of ecosystem services in urban green spaces has been insufficiently studied regarding landscape effects. In highly urbanized regions such as Shanghai, it remains unclear which landscape configurations can maintain consistently high and stable regulating services. By calculating the monthly values of regulating services in urban green space sites across five years, we investigated how landscape structure and urbanization influence the temporal stability of regulating service bundles along an urban gradient in Shanghai. Stability was measured as the inverse of the coefficient of the regulating service values, further decomposing it into average regulating service stability and regulating service asynchrony, following the ecological theory. Landscape structure metrics included area, fragmentation, and shape, while urbanization was measured as the proportion of impervious surface surrounding green space sites. The results showed that the stability of regulating service bundles was higher during spring or winter compared to summer and autumn. Overall, we found that fragmentation reduced the stability of regulating service bundles, whereas impervious surfaces had a positive effect, both acting through average regulating service stability. Our study promoted a framework for managing urban green spaces to sustain high and stable ecosystem services, highlighting the importance of preserving contiguous green areas to support sustainable urban planning. Full article

Urban sprawl has been the subject of extensive scholarly investigation, as it is widely regarded as an unfavourable phenomenon with profound socio-economic consequences. Its fundamental forms have been delineated through specific Spatial Form Metrics (SFMs). In southern Poland, there exists a region whose dispersed development pattern is particularly distinctive. Owing to its considerable size—exceeding 5500 km²—it was deemed appropriate to analyse this area using the metrics and categories conventionally applied in urban sprawl research. The findings reveal a settlement pattern often described in the literature as resembling a ‘leopard skin’. Key urban parameters—such as density, intensity, dispersion, and clustering—were most effectively characterised by Shannon entropy levels calculated for these categories. In all instances, the entropy values proved to be very high, indicating minimal variation in development form across the study area. This outcome reflects the prevalence of numerous small, closely spaced building clusters, without the emergence of major concentrations capable of serving as nuclei for service centres with a developed public realm. As a result, structures that would ordinarily provide higher-order services and foster social integration fail to materialise. The implications for the open landscape are pronounced and predominantly negative: both agricultural landscapes and the still-existing, though limited, semi-natural landscapes are severely fragmented by scattered, unstructured building clusters. This fragmentation undermines rational agricultural management and impedes the conservation of self-regenerating areas that approximate the natural landscape. Against this backdrop, the present study examines the built-up structure of Area X in order to delineate pathways for a transition from environmentally detrimental settlement patterns towards forms of development that not only ensure the sustenance of urban life but also align with the broader principles of sustainable urban development, thereby safeguarding the continuity of urban life as a fundamental condition for long-term urban resilience. Full article

A primary objective of the European Green Deal is the shift towards a sustainable and circular economy, necessitating profound alterations in production and consumption practices. The Digital Product Passport (DPP) is central to this transformation, fulfilling the information requirements and transparency expectations of the Ecodesign Regulation for Sustainable Products (ESPR) and facilitating the effective application of Extended Producer Responsibility (EPR) principles. This research presents a concept-focused bibliometric analysis of the evolving academic landscape of digital product passports (DPPs) from 2021 to 2025, based on publications indexed in Scopus and Web of Science (WoS), analyzed with the R-based Biblioshiny package. Key findings reveal that research predominantly focuses on digital product passports and the circular economy, with rapid growth in DPP publications driven by regulatory mandates under the European Green Deal. Geographically, Germany and Austria emerge as leading contributors, while thematically, circular economy and sustainability dominate the discourse. However, research gaps persist in the implementation of technology and its cross-disciplinary applications. The thematic and structural classification of existing knowledge is crucial for conceptual clarity and addressing research gaps in DPP literature. This research is expected to provide a foundational roadmap for future research on sustainable production and digital traceability ecosystems. Full article

The conformational landscape of 3-indoleacetamide, a key intermediate in plant hormone biosynthesis, has been comprehensively investigated using state-of-the-art laser-ablation chirped-pulse Fourier transform microwave (LA-CP-FTMW) and laser-ablation molecular beam Fourier transform microwave (LA-MB-FTMW) spectroscopy. Remarkably, 3-indoleacetamide exhibits unprecedented conformational rigidity within the tryptophan-derived molecule family, displaying only a single stable conformer characterized by distinctive a-, b-, and c-type rotational transitions. This singular conformational behavior contrasts dramatically with the structural flexibility observed in closely related tryptophan derivatives such as tryptophan, serotonin, tryptamine, and 3-indoleacetic acid. The unique structural constraint imposed by the acetamide functional group provides unprecedented insights into the molecular determinants governing the distinct biological roles of tryptophan-derived compounds. This work establishes a potential correlation between conformational flexibility and biological function, from neurotransmission to plant hormone regulation, offering new perspectives on structure-activity relationships in bioactive natural products. Full article

Monitoring ecosystem dynamics in arid regions requires robust indicators that can capture spatial heterogeneity and diverse ecological drivers. In this study, we introduce and evaluate two novel ecological indices: the Arid-region Remote Sensing Ecological Index (ARSEI), specifically designed for desert environments, and the Composite Remote Sensing Ecological Index (CoRSEI), which integrates both desert and non-desert systems. These indices are compared with the traditional Remote Sensing Ecological Index (RSEI) in the Tarim River Basin from 2000 to 2023. Principal component analysis (PCA) revealed that RSEI maintained the highest structural compactness (average PCA1 = 87.49%). In contrast, ARSEI (average PCA1 = 78.62%) enhanced sensitivity to albedo and vegetation (NDVI) in arid environments. Spearman correlation analysis further demonstrated that ARSEI was more strongly correlated with NDVI (ρ = 0.49) and precipitation (ρ = 0.62) than RSEI, confirming its improved responsiveness under water-limited conditions. CoRSEI exhibited higher internal consistency and spatial adaptability (mean values ranging from 0.45 to 0.56), with slight ecological improvements observed between 2000 and 2023. Ecological drivers varied across habitat types. In desert areas, evapotranspiration, precipitation, and soil moisture were the main determinants of ecological status, showing high coupling and synchrony. In non-desert regions, soil moisture and precipitation remained dominant, but vegetation indices and disturbance factors (e.g., fire density) exerted stronger long-term influences. Partial dependence analyses further confirmed nonlinear, region-specific responses, such as the threshold effects of precipitation on vegetation growth. Overall, our findings highlight the importance of differentiated ecological modeling. ARSEI enhances sensitivity in desert ecosystems, whereas CoRSEI captures landscape-scale variability across desert and non-desert regions. Both indices contribute to more accurate long-term ecological assessments in hyper-arid environments. Full article

This paper employs allegory to examine how pupils experience exclusion in mathematics education. Using Dante’s Inferno as a structural frame, I present nine fictional narratives aligned with the nine circles of Hell. These depict recurring learner experiences: displacement, disorientation, mechanical drill, grade-chasing, resistance, doubt, internalised failure, performance without understanding, and withdrawal. The narratives are not verbatim accounts but constructed stories synthesising themes from research, classroom practice, and observed discourse. Through narrative inquiry, each story reframes issues such as language barriers, high-stakes assessment, proceduralism, and stereotype threat—not as individual shortcomings but systemic conditions shaping learner identities. The allegorical mode makes these conditions vivid, positioning mathematics education as a moral landscape where inclusion and exclusion are continually negotiated. The analysis yields three insights: first, forms of exclusion are diverse yet interconnected, often drawing pupils into cycles of silence, resistance, or performance; second, metaphor and fiction can serve as rigorous research tools, allowing affective and structural dimensions of schooling to be understood together; and third, teacher education and policy must confront the hidden costs of privileging narrow forms of knowledge. Reimagining classrooms through Dante’s allegory, this paper calls for pedagogies that disrupt exclusion and open pathways to belonging and mathematical meaning. Full article

Qatar’s arid and semi-arid landscapes subject native plants to severe abiotic stresses, including salinity, drought, intense solar radiation, and high temperatures, along with biotic challenges such as herbivory, microbial pathogens, and competition. The ways in which plants coordinate responses to these simultaneous pressures remain insufficiently understood, creating a knowledge gap in desert persistence strategies. This study investigates the integrated defence mechanisms that enable survival under dual stress conditions. We analyse chemical responses such as the synthesis of antimicrobial and phenolic compounds, structural adaptations including thickened cuticles, trichomes, and reinforced cell walls, and physiological trade-offs affecting water-use efficiency and gas exchange. Emphasis is placed on the regulatory role of abscisic acid, which links abiotic stress responses to enhanced pathogen resistance through interconnected biochemical pathways. The study also evaluates the benefits and costs of these structural and biochemical defences. Our findings reveal that native desert species employ adaptive strategies that integrate structural, physiological, and biochemical processes to withstand simultaneous abiotic and biotic pressures. These coordinated mechanisms enhance plant persistence under extreme conditions and play a crucial role in maintaining biodiversity, ecological resilience, and the long-term stability of Qatar’s fragile desert ecosystems. Full article

Forest managers need regular accurate assessments of forest conditions to make informed decisions associated with harvest schedules, growth projections, merchandising, investment, and overall management planning. Traditionally, this is achieved through field-based sampling (i.e., timber cruising) a subset of the trees within a desired area (e.g., 1%–2%) through stratification of the landscape to group similar vegetation structures and apply a grid within each stratum where fixed- or variable-radius sample locations (i.e., plots) are installed to gather information used to estimate trees throughout the unmeasured remainder of the area. These traditional approaches are often limited in their assessment of uncertainty until trees are harvested and processed. However, the increasing availability of airborne laser scanning datasets in commercial forestry processed into Digital Inventories^® enables the ability to non-destructively assess the accuracy of these field-based surveys, which are commonly referred to as cruises. In this study, we assess the uncertainty of common field sampling-based estimation methods by comparing them to a population of individual trees developed using established and validated methods and in operational use on the University of Idaho Experimental Forest (UIEF) and a commercial conifer plantation in Louisiana, USA (PLLP). A series of repeated sampling experiments, representing over 90 million simulations, were conducted under industry-standard cruise specifications, and the resulting estimates are compared against the population values. The analysis reveals key limitations in current sampling approaches, highlighting biases and inefficiencies inherent in certain specifications. Specifically, methods applied to handle edge plots (i.e., measurements conducted on or near the boundary of a sampling stratum), and stratum delineation contributes most significantly to systematic bias in estimates of the mean and variance around the mean. The study also shows that conventional estimators, designed for perfectly randomized experiments, are highly sensitive to plot location strategies in field settings, leading to potential inaccurate estimations of BAA and TPA. Overall, the study highlights the challenges and limitations of traditional forest sampling and impacts specific sampling design decisions can have on the reliability of key statistical estimates. Full article

Phytoindication represents a long-established ecological approach; however, its conceptual basis remains contested, particularly concerning whether it is merely a surrogate for measuring environmental factors or a distinct method for assessing biotic system responses. In this study, we analysed vegetation communities of the sandy terrace in the Dnipro-Oril Nature Reserve (Ukraine) using ecological indicator values, naturalness, and hemeroby indices. The Dnipro-Oril Nature Reserve provides an ideal setting for this study, as it integrates strong natural gradients of soil moisture, nutrient availability, and topography with pronounced anthropogenic influences from the surrounding industrial landscape. This allows the assessment of both natural and human-driven components of ecological variability within a single system. A dataset of 1079 relevés was collected and classified into 24 associations. Multivariate analyses were applied to reveal different aspects of vegetation–environment relationships: MANOVA was used to assess whether plant associations differed significantly in their ecological indicator profiles, CCA to identify the main gradients of species composition constrained by environmental factors, and partial CCA to isolate the specific patterns of vegetation response attributable to individual predictors while controlling for covariates. We found that the indicator values were not independent but strongly intercorrelated, reflecting integrated biotic responses rather than methodological artefacts. This was confirmed by consistent ecological interpretation of the principal component structure and the concordance between ordination patterns and vegetation classification results. Two primary gradients were identified: a natural gradient, which combines soil moisture and nutrient availability with decreasing light, temperature, continentality, and soil pH; and an anthropogenic gradient, represented by the hemeroby–naturalness axis. The interplay of these gradients offers a comprehensive explanation for vegetation structure across various spatial scales, with natural factors shaping community types and anthropogenic influences exerting broader, less specific effects due to their diffuse impact across multiple plant associations. Our findings reveal a novel conceptual perspective, supporting the view that phytoindication is a unique ecological tool for assessing the integrated response of plant communities to environmental drivers, including both natural and anthropogenic gradients, rather than a simplified or less precise substitute for instrumental measurements. Nevertheless, the use of phytoindication does not eliminate the need for instrumental measurements in situations requiring precise quantification of specific physical or chemical environmental parameters. The correlated structure of indicator values revealed in this study demonstrates that phytoindication patterns are specific to each landscape. Therefore, comparative assessments across regions or time periods should be based on the correlation patterns of indicator values rather than their absolute scores. Full article

Minor Southern Italian population centers present a fragmented and uneven urban landscape, resulting from abandonment and depopulation phenomena that have led, especially in historic city centers, to urban voids scattered with rubble, buildings in a state of ruin, and others with evident structural collapses. Within a broader urban regeneration strategy for these centers, aligned with current national and European policies, the recovery of these vacant spaces can play a decisive role in enhancing urban quality and the desired touristic appeal, with social, economic, and environmental implications. These areas may also become valuable resources for innovating the urban core in a green transition process, contributing to carbon neutrality goals while improving residents’ quality of life. This paper addresses the importance of pocket parks as systems of resilience against climate change and hydrogeological risks, as well as rainwater drainage systems in densely built urban areas with strong historical character. The study includes a case study application focusing on a location in the Sicilian hinterland, notable for its historical and architectural value. The urban center under examination, Naro in the province of Agrigento, has experienced significant depopulation over the past fifty years, and the designation of its provincial capital as the Italian Capital of Culture 2025 could provide the opportunity for revival through small-scale, low-cost, and sustainable actions. Full article

Compared with other fossil energy sources, natural gas is characterized by compressibility, low energy density, high storage costs, and imbalanced usage. Natural gas pipeline supply systems possess unique attributes such as closed transportation and a highly integrated upstream, midstream, and downstream structure. Moreover, pipelines are almost the only economical means of onshore natural gas transportation. Given that the upstream of the pipeline features multi-entity and multi-channel supply including natural gas, coal-to-gas, and LNG vaporized gas, while the downstream presents a competitive landscape with multi-market and multi-user segments (e.g., urban residents, factories, power plants, and vehicles), there is an urgent social demand for non-discriminatory and fair opening of natural gas pipeline network infrastructure to third-party entities. However, after the fair opening of natural gas pipeline networks, the original “point-to-point” transaction model will be replaced by market-driven behaviors, making the verification and allocation of gas transmission capacity a key operational issue. Currently, neither pipeline operators nor government regulatory authorities have issued corresponding rules, regulations, or evaluation plans. To address this, this paper proposes a multi-dimensional quantitative evaluation model based on the Analytic Hierarchy Process (AHP), integrating both commercial and technical indicators. The model comprehensively considers six indicators: pipeline transportation fees, pipeline gas line pack, maximum gas storage capacity, pipeline pressure drop, energy consumption, and user satisfaction and constructs a quantitative evaluation system. Through the consistency check of the judgment matrix (CR = 0.06213 < 0.1), the weights of the respective indicators are determined as follows: 0.2584, 0.2054, 0.1419, 0.1166, 0.1419, and 0.1357. The specific score of each indicator is determined based on the deviation between each evaluation indicator and the theoretical optimal value under different gas volume allocation schemes. Combined with the weight proportion, the total score of each gas volume allocation scheme is finally calculated, thereby obtaining the recommended gas volume allocation scheme. The evaluation model was applied to a practical pipeline project. The evaluation results show that the AHP-based evaluation model can effectively quantify the advantages and disadvantages of different gas volume allocation schemes. Notably, the gas volume allocation scheme under normal operating conditions is not the optimal one; instead, it ranks last according to the scores, with a score 0.7 points lower than that of the optimal scheme. In addition, to facilitate rapid decision-making for gas volume allocation schemes, this paper designs a program using HTML and develops a gas volume allocation evaluation program with JavaScript based on the established model. This self-developed program has the function of automatically generating scheme scores once the proposed gas volume allocation for each station is input, providing a decision support tool for pipeline operators, shippers, and regulatory authorities. The evaluation model provides a theoretical and methodological basis for the dynamic optimization of natural gas pipeline gas volume allocation schemes under the fair opening model. It is expected to, on the one hand, provide a reference for transactions between pipeline network companies and shippers, and on the other hand, offer insights for regulatory authorities to further formulate detailed and fair gas transmission capacity transaction methods. Full article

People are exposed to pesticides daily through food, drinking water, and the environment, both in urban and rural settings. These chemicals, while offering economic and agricultural benefits through pest control and increased productivity, may pose a growing risk to human health and ecosystem biodiversity. While the European regulatory framework offers a robust foundation for risk assessment, significant limitations persist, especially in addressing cumulative exposure, low-dose effects, and chemical mixtures. This review focuses on selected scientific and regulatory challenges by reviewing recent European Food Safety Authority (EFSA) conclusions, Organization for Economic Co-operation and Development (OECD) test guidelines updates, and current European legislative approaches. Particular attention is given to the regulation of endocrine-disrupting and reprotoxic substances, highlighting progress and remaining gaps in implementation. A brief mention will also be made of immuno-toxic substances, for which no specific hazard class has yet been established. Building on official reports and peer-reviewed literature, this review provides a structured evaluation of the scientific and regulatory landscape, including underexplored issues like the transition to animal-free toxicology and integration of biomonitoring with health data. The goal is to propose realistic, evidence-based improvements to current frameworks using integrated, interdisciplinary approaches that connect toxicology, policy, and implementation science. A shift to a holistic, systems-based, and precautionary paradigm is vital to address emerging challenges and ensure strong protection of health and environment, as well as supporting the needs of the agricultural sector. Full article

Traditional deep learning methods for histopathological analysis suffer from a lack of interpretability, which limits their use in the clinic despite their high accuracy. This paper proposes a Topological Data Analysis (TDA) framework for interpretable colorectal cancer tissue classification. We used persistent homology to extract topological features from 5000 histological images representing eight tissue classes, combining persistence landscapes with Support Vector Machine (SVM) classification. This method achieved an overall accuracy rate of 82.70%, while providing biologically interpretable features that are directly related to tissue morphology. Topological features successfully represented cellular connectivity as well as structural patterns, enabling perfect classification of morphologically distinct tissue pairs. This research demonstrates that topological data analysis (TDA) represents a promising alternative to non-transparent methods, offering competitive efficiency while ensuring interpretability, a crucial aspect for its clinical integration in computational pathology. Full article

The double-sex and mab-3-related transcription factors (Dmrt) are widely distributed in the animal kingdom and play a crucial role in sex determination and differentiation. In this study, we identified eight Dmrt transcription factors in the genome of the centipede Scolopendra mutilans, including five Dsx-related genes (as Dsx1, Dsx2 (five splice variants), Dsx3, Dsx4 and Dsx5) and three Dmrt-related genes (as Dmrt11E, Dmrt99B, and Dmrt93B). Phylogenetic analysis revealed evolutionary conservation across arthropods, with Dsx genes clustered into class-specific clades (Chilopoda, Insecta, Crustacea, Arachnida). Structural analysis confirmed conserved DM domains and sex-specific motifs, with tandem duplication of Dsx2 on chromosome 4. Expression profiling demonstrated significant sexual dimorphism: Dsx5 was female-biased, whereas Dsx2, Dsx3, and Dsx4 were male-biased, suggesting their functional divergence in sexual differentiation. Correlation analysis linked the expression of Sxl and Fem-1C to the regulation of Dsx isoforms, suggesting the presence of a conserved upstream regulatory cascade for sex-specific splicing. These findings elucidate the structural and functional landscape of Dmrts in S. mutilans, and provide insights into how sex-determination mechanisms evolved in Myriapoda. Full article