Search Results (2,990)

The earthquake of 23 June 2001, Mw 8.4, caused catastrophic damage in the city of Moquegua (Peru), especially in reinforced-concrete educational buildings. In this research, advanced procedures have been used and compared to assess the seismic performance of a new educational building designed under the current Peruvian construction regulations. Two nonlinear static procedures, the capacity spectrum method and an improved procedure based on the equivalent linearization method, have been applied and compared. Damage probabilities for a 475-year-return-period earthquake for the city of Moquegua evidence that the improved procedure based on the equivalent linearization method turns out to be slightly more conservative than the capacity spectrum method. Incremental dynamic analyses, based on 15 seismic events selected according to specific criteria, are taken as reference and complete the building damage assessment. Probabilistic damage matrices are proposed to assess damage using a probabilistic approach, which makes it possible to determine the levels of risk to be assumed in likely post-seismic scenarios and to carry out probabilistic estimates of the impacted population, the expected damage to structures, and the ranges of economic (social and material) costs. These tools assist stakeholders, civil protection and fire departments and the administrations involved in risk management and contingency planning in developing prevention strategies and improving preparedness for natural disasters such as earthquakes. Full article

Blue space, as an important natural and social composite feature system in cities, not only provides supporting, regulating, and provisioning services, but also plays a key role in human well-being, recreational experience, and urban sustainable development. The blue space cultural ecosystem service (CES) has gradually attracted the attention of academia in recent years, but there is a lack of systematic integration research in related fields. Therefore, it is necessary to conduct a comprehensive analysis of current studies to clarify how, and to what extent, blue spaces influence CESs. This study adopts a PRISMA-based systematic search combined with qualitative synthesis, aiming to review the research status of CES and its developmental trajectory within blue space studies, and to identify future research trends and critical gaps. A total of 52 studies meeting the inclusion criteria were finally selected through database screening. The research innovatively divides the evolution of blue space CES into three stages (2012–2017/2018–2022/2023–2025), revealing a shift in research focus from single value identification to complex policy support. Secondly, through the mapping of six typical blue space types (such as rivers and wetlands) and 10 CES indicators, combined with a Pearson correlation heatmap, it provides quantitative insights into the coupling mechanisms between indicators, such as the significant synergy between spiritual and educational values. Methodologically, it systematically discriminates between the application boundaries of monetary valuation based on the contingent valuation method and non-monetary valuation represented by social media big data and PPGIS, pointing out that technological progress is driving the evaluation toward high dynamics and refinement. Finally, the study points out current bottlenecks such as uneven geographical distribution and insufficient planning transformation, emphasizing that future research should use artificial intelligence to improve data processing accuracy and transform blue space CESs from “invisible welfare” into “explicit policy assets” to guide sustainable urban renewal and healthy space design. Full article

Deep learning models represent one of the most advanced and effective approaches in predictive modeling. Their hierarchical architectures enable the extraction of complex, non-linear feature relationships and the identification of latent patterns within data, making them highly suitable for tasks involving high-dimensional or unstructured inputs. However, these models are computationally demanding, requiring significant processing resources and time. Furthermore, their predictive performance is largely contingent upon the availability of large-scale datasets. In this study, a Deep Green Framework is employed for the prediction of two computer vision tasks. CIFAR-10 and CIFAR-00 have been taken for image classification. Fifteen convolutional neural network (CNN) variants categorized into light-weight and heavy-weight are trained for the prediction of these two datasets. Based on energy footprint, time, memory usage, Top-1 accuracy, Top-3 accuracy, model size, and model parameters. The study highlights that MobileNetV3-Small produces the best outcomes when compared to other trained models having low task latency and higher efficiency, making it highly suitable for edge environments where resources are scarce. Full article

The lateral organization of the plasma membrane (PM) is vital for cellular signaling, yet the specific mechanisms by which the internal cortical actin meshwork templates the organization of the external lipid leaflet remain poorly understood. While established models like the ‘picket-fence’ emphasize physical barriers to diffusion, recent observations of fiber-like “ghost” structures in the distribution of glycosylphosphatidylinositol-anchored proteins (GPI-APs) suggest a more intricate mode of spatial coordination. In this study, we utilize imaging total internal reflection fluorescence correlation spectroscopy (ITIR-FCS) and variable-angle TIRF to resolve whether these filamentous patterns represent genuine membrane-proximal features or optical artifacts of cytosolic transport. Our results demonstrate that these fiber-like tracks are strictly confined to the immediate PM interface and disappear as the evanescent field probes deeper into the cytosol. While the spatial distribution of GPI-APs is templated by the underlying actin meshwork, quantitative diffusion mapping shows that the lateral dynamics of the probe remains largely uniform and is not significantly modulated by these filamentous patterns. By pharmacologically perturbing the actin scaffold and membrane cholesterol, we show that this transbilayer coupling is contingent upon a cholesterol-dependent cytoskeletal pinning mechanism. These findings demonstrate a decoupling of spatial organization and molecular dynamics, providing evidence for how the actin scaffold patterns nanoscale membrane organization without imposing long-range barriers to diffusion. Full article

The problem of meaning in an apparently indifferent universe has long been a central concern of existential philosophy. Classical existentialism addressed this question by emphasizing human freedom, responsibility, and the creation of meaning in the absence of transcendental guarantees, yet it largely remained framed within an anthropocentric horizon. This article introduces the concept of cosmic existentialism as a philosophical framework that situates human existence within the broader context of a scientifically understood cosmos. Through conceptual philosophical analysis, the paper reinterprets key existential categories such as angst, authenticity, and freedom in light of contemporary cosmological perspectives. Within this framework, the indifference of the universe is interpreted as a fundamental existential condition within the cosmological framework adopted in this study that reveals the fragility and contingency of human life. The analysis suggests that recognizing humanity’s lack of cosmic privilege does not lead to nihilism but instead allows meaning to be interpreted as a local, finite, and relational phenomenon. Cosmic existentialism therefore offers a philosophical perspective that integrates existential reflection with modern cosmological understanding and provides a framework for thinking about human existence within an indifferent universe. This standpoint is articulated through several principles, including cosmic indifference, the existential locality of meaning, and the contingency of human existence within the cosmos. Rather than emphasizing the scale of the universe itself, the present analysis suggests that the philosophical significance of cosmology lies in the removal of any privileged standpoint from which human existence can be interpreted. Full article

The aviation industry is increasingly prioritizing sustainability, with significant focus on the development of Hybrid-Electric Aircraft (HEA). By integrating electric motors with conventional combustion engines, HEA systems offer substantial environmental benefits and operational efficiency improvements. However, the successful implementation of HEA technologies is contingent upon advancements in power converter systems. This paper addresses the critical need for sustainable aviation solutions by examining the challenges and opportunities associated with High-Efficiency Aviation Power (HEAP) technology. Specifically, the study investigates the role of power converters in Hybrid-Electric Aircraft Propulsion systems, with a particular emphasis on addressing key concerns such as weight reduction, compact design, and system reliability. A comparative analysis of three converter topologies is conducted: two established configurations serve as baseline references, while a third topology, a modular, fault-tolerant DC-DC converter, is proposed for the first time in the context of hybrid-electric aircraft. Its novelty lies in the system-level use of redundancy to offer an inherent architectural advantage against cosmic-ray-induced failures a critical aviation reliability challenge that existing converter topologies do not address through hardware redundancy. This qualitative reliability advantage is presented as an architectural feature, pending quantitative validation through future hardware testing and mean-time-between-failures (MTBF) analysis. This exploration is essential for identifying the most suitable configuration for HEA integration, with the goal of overcoming challenges related to lightweight design, high efficiency, and reliability. The findings contribute to the advancement of more sustainable and efficient aviation solutions by demonstrating the potential of the proposed converter architecture. Full article

Post-exercise appetite loss may interfere with adequate recovery nutrition in athletes; however, the substantial inter-individual variability in appetite responses remains insufficiently understood. This exploratory cross-sectional study investigated lifestyle- and health-related factors associated with post-exercise appetite loss in 35 female university athletes. Appetite loss was assessed as a self-reported binary outcome (often, sometimes/never). Associations with subjective sleep quality and other lifestyle-related variables were examined using contingency analysis, followed by exploratory logistic regression. Post-exercise appetite loss was reported by 74.3% of participants and did not differ across sports disciplines, indicating that the sport type alone did not explain the observed variability. Poor/fair subjective sleep quality was associated with appetite loss (OR = 11.6, 95% CI: 1.9–73.6) and remained associated in the multivariate model. Other lifestyle-related variables were not independently associated. These findings imply a potential connection linking post-exercise appetite responses in female university athletes to broader lifestyle-related factors, particularly subjective sleep quality, rather than exercise characteristics alone. Monitoring sleep quality may therefore help identify athletes who may be at risk of insufficient post-exercise energy intake and compromised recovery. Further studies with larger samples and longitudinal designs are needed to clarify these relationships. Full article

Urban heritage structures are most commonly understood as memorial artifacts, tourism assets, or redevelopment resources. While this common view acknowledges cultural and economic value, it overlooks a deeper function of heritage within the long evolution of human settlements. This paper advances a counter thesis: in addition to its historic contingencies and power relationships—which are real, but only part of the picture—urban heritage embodies valuable but often hidden intelligence that is highly relevant to contemporary urban challenges. Specifically, heritage environments encode useful structured information about spatial configurations that have gained adaptive value over time in a process known as stigmergy. Drawing on complexity science, network theory, the mathematics of symmetry, and theories of extended cognition, the paper argues that enduring urban forms persist not only for symbolic or historical reasons, but because they embed structural properties conducive to resilience, legibility, social interaction, climatic adaptation, and human well-being. Recurring characteristics include fine-grained network connectivity, fractal scaling hierarchies, organized symmetry, articulated thresholds, and biophilic integration. Evidence from environmental psychology, public health, and urban morphology suggests that such properties correlate with reduced stress, increased walkability, stronger social capital, and improved ecological performance. The paper proposes a methodological framework—what we call the Adaptive Patterns Model—for identifying, evaluating, and translating this embedded intelligence into contemporary regeneration practice. The Model is presented as a four-phase, conceptually synthesized framework—integrating insights from complexity science and stigmergy, urban morphological analysis, and pattern-language methodology—comprising documentation, pattern extraction, encoding, and performance correlation. It concludes by challenging a still-prevalent assumption that contemporary conditions invalidate accumulated spatial knowledge. Instead, urban heritage is understood as adaptive capital within an ongoing evolutionary process, offering a structurally grounded foundation for resilient urban transformation. Full article

Implicit discourse relation recognition (IDRR) addresses the classification of discourse relations between text segments without explicit connectives. Existing prompt-based methods for IDRR often rely heavily on predicting surface connectives as an indicator for the discourse relation, which is inherently limited by the capacity of pre-trained language models. Meanwhile, standard attention mechanisms in these models are easily distracted by task-irrelevant tokens. This paper proposes a Role-Focused Prompt Framework that addresses these limitations by introducing a role-centric perspective to IDRR. Our approach is built on two core innovations: (1) the incorporation of linguistically grounded semantic roles (e.g., Cause/Effect for Contingency relation) into IDRR, which directly captures the underlying argument structure that determines discourse relations, reducing reliance on connectives; (2) a focused prompt structure that condenses the input to its core semantic concepts (argument summaries, connective, and semantic roles), creating a high signal-to-noise environment for attention-based reasoning. Extensive experiments on Penn Discourse TreeBank 2.0 (PDTB 2.0) demonstrate that our framework achieves competitive results, providing complementary direction for IDRR research. Ablation studies validate that both innovations are essential to the framework. Our work demonstrates that incorporating linguistically grounded semantic roles and focusing on task-relevant concepts can effectively specialize pre-trained models for IDRR. Full article

Intercropping maize with legume cover crops has been shown to increase soil organic carbon (SOC) and alter soil microbial communities, potentially affecting soil aggregate stability. However, whether different legume cover crop varieties vary in their effects on SOC enhancement and aggregate stability improvement, and whether such variation is associated with their capacity to enhance distinct microbial taxa, remains unclear. Here, we conducted a five-year field experiment comprising maize monoculture (MM) and six intercropping systems in which maize was grown with different legume cover crop varieties. We aimed to assess the role of bacterial, non-AMF, and arbuscular mycorrhizal fungal (AMF) community composition in influencing SOC and aggregate stability, measured as mean weight diameter (MWD). On average, the six intercropping systems significantly increased SOC by 28% compared with MM, with no significant differences among legume varieties. However, MWD varied significantly depending on the specific legume used. Specifically, intercropping with red clover or sesbania resulted in MWD values similar to MM, whereas intercropping with soybean, hairy vetch, common vetch, or yellow sweet clover led to significantly higher MWD. Notably, MWD was positively correlated with the proportion of C within macroaggregates (>0.25 mm), and this effect was linked to the enrichment of specific microbial taxa—including the bacterium RB41, the non-AMF Trichoderma, and AMF (unclassified Glomerales, Glomus2, and Glomus3)—in systems with high MWD. These findings indicate that while SOC accrual under intercropping is robust across legume varieties, aggregate stability is contingent upon the identity of the legume and its associated microbiota. Selecting legume varieties with a greater ability to increase the abundance of specific microorganisms that enhance C allocation into macroaggregates can simultaneously improve both SOC accumulation and aggregate stability in maize-based intercropping systems. Full article

The increase in utility-scale PV generation and the displacement of synchronous machines reduce system strength, reactive power headroom, voltage resilience, and overall power system stability, motivating a robust comparison of various mitigation technologies beyond static load-flow or PV assessments. RMS time-domain simulations are performed for balanced and unbalanced contingencies, and performance is quantified using post-fault voltage dip depth, undervoltage area (V < 0.9 pu.), recovery time to nominal, and RoCoF. These metrics are aggregated into a single weighted composite severity score, which is then normalised to the baseline to form the dynamic voltage resilience index (DVRI) and the Frequency Disturbance Relative Index (FDRI). The results show that the converter-based reactive power support devices deliver the fastest and most controllable post-fault voltage restoration, with the STATCOM achieving the lowest composite penalty and best DVRI under severe fault conditions but the poorest FDRI during PV plant trip/reconnection events. The synchronous condenser (SC) improves post-fault recovery through excitation driven reactive capability and increased short-circuit contribution, but its recovery to nominal voltage levels is slower and can produce negative-sequence current under unbalanced fault conditions whilst producing the smallest frequency disturbance and best FDRI. The SVC provides effective steady-state regulation but becomes less effective during extremely low voltages due to the voltage-dependent reactive power output, and its FDRI remains close to baseline. The BESS-GFM is dependent on the inverter current limits and the control priorities, which influence both voltage recovery and response times, achieving an FDRI scoring second to the SC. These metrics are combined into baseline normalised composite indices (DVRI and FDRI) using explicitly dimensionless sub-metrics (dip magnitude, exposure area, and recovery delay for voltage and deviation magnitude, windowed RoCoF, and exposure for frequency). Equal weights are used as a neutral baseline, and a weight sensitivity study is included to confirm that technology rankings are robust to plausible variations in weighting choice. Full article

Interactions between the gut microbiota, immune system, and brain seem to be involved in the pathogenesis and disease activity of multiple sclerosis (MS). Some MS disease-modifying therapies (DMTs) have been shown to alter the microbiota, but whether this is related to their specific mode of action or indirectly related to their immune-modulatory effect is unknown. In this longitudinal study, we characterized the effects of two DMTs on the microbiota under similar conditions and populations: the injectable, moderate-efficacy DMT interferon beta-1a (INFβ-1a) and the oral, high-efficacy DMT cladribine tablets (CladT). Taxonomic differences were identified following 6 months of therapy for each DMT, and both were associated with the elevation of short-chain fatty acid (SCFA) producers from the Lachnospiraceae, Lactobacillaceae, and Ruminococcaceae families (Firmicutes), while members of Bacteroidetes and Proteobacteria were reduced. Moreover, a higher abundance of Alphaproteobacteria and Betaproteobacteria at baseline was associated with disease activity within 1–2 years of follow-up, while a higher abundance of Lachnospiraceae, Ruminococcaceae, Bifidobacteriaceae, and Streptococcaceae microbes, among others, was associated with no evidence of disease activity (NEDA). Our results provide supporting evidence that alteration of the microbiota by DMTs is part of their beneficial effect, and while some modifications seem to be DMT-specific, MS-DMTs in general promote SCFA-producing microbes, which positively correlate with a favorable clinical outcome. Future therapeutic strategies for PwMS may benefit from microbiome modulation, contingent upon additional mechanistic and interventional studies. Full article

Utilizing an integrated knowledge translation framework (iKT), the purpose of this study was to identify best practices for long-term care (LTC) staffing in British Columbia, Canada, based on learnings from the COVID-19 pandemic. Through multiple data sources, including an electronic survey provided to LTC operators and knowledge-generation forums held with LTC community members, four staffing recommendations were created. Our major findings emphasize how the pandemic exposed and further exacerbated LTC workforce shortcomings and provide rich, contextual information to help create efficacious and practical outcomes and enhance public health. Our recommendations include conducting contingency planning for potential crises, increasing the use of volunteers, implementing recruitment and retention strategies for the LTC workforce, and standardizing evaluations of staffing adequacy and resident outcomes. These investments can serve to strengthen LTC currently and to protect against potential future health crises. This project highlights how lived experience can be utilized to address health inequities and bolster public health outcomes. Full article

South Korea faces escalating climate change threats that increase the risk of large-scale outages of long duration. However, efforts to expand the grid are often limited by low consumer acceptance of higher tariffs. This study employs a nationally representative contingent valuation survey of 1000 households to quantify residential consumers’ willingness to pay (WTP) for grid expansion to avoid a hypothetical 24 h nationwide blackout caused by extreme weather. The findings reveal an average monthly WTP of KRW 2226 (USD 1.54), equivalent to about KRW 0.60 trillion (USD 0.4 billion) annually—approximately 12% of planned grid investment needs. Among the socioeconomic variables, the negative coefficient on generation suggests younger cohorts exhibit higher WTP, consistent with—though not conclusive evidence of—their expectation of greater exposure to future climate risks. Similarly, the presence of children is positively associated with WTP, indicating family protection motives that encompass both immediate household needs and intergenerational considerations related to the distribution of climate-related burdens. These findings provide policy-relevant insights for designing equitable and acceptable tariff schemes that support critical investments to strengthen sustainable grid resilience amidst escalating climate risks. Full article

The legislative framework of labor law is generally described as gender-neutral based on universal presumptions about employment availability, work productivity, and the ability to work without interruption; in actuality, this gender-neutral framework remains contingent on the existence of the non-menstruating body. This paper analyzes the concept of menstruation as the blind spot in labor law, exploring whether the gender-neutral framework of the legal system has the ability to achieve true gender equality while turning a blind eye to the cyclical body, which has been identified to negatively impact the lives of many menstruators. Methodologically, this research takes a normative approach, incorporating feminist legal theories, principles of substantive equality, and socioeconomic and medical studies on menstruation. The results of this research prove that the concept of menstruation cannot be described or characterized by frameworks such as illness or disability, leaving the normative regulatory space for menstruators to experience structural inequality. The formal equality of labor law rules thus produces unequal effects in practice by privileging an implicit model of uninterrupted work capacity. This article concludes that the legal silence surrounding menstruation is not neutral but reinforces gendered patterns of disadvantage. Making menstruation visible within labor law is therefore not a matter of special treatment but a necessary step towards substantive equality and embodied gender justice, and a prerequisite for any future regulatory responses aimed at addressing workplace inequality. Full article