Search Results (4,826)

This study develops an interpretable machine learning (ML) surrogate to predict hourly indoor air temperature and discomfort indicators for a representative Mexican social-housing prototype in San Luis Potosí (cold semi-arid, Köppen–Geiger BSk). A four-zone EnergyPlus model with constant window opening (50%) and no internal gains was used to generate a parametric dataset spanning 24 building orientations, seven roof solar absorptance levels, and two neighborhood configurations (surrounded vs. corner). Zone-specific bagged-tree regression models were trained in MATLAB using weather predictors, temporal indicators, and weather-memory features (including outdoor temperature lags and rolling averages). Orientation and roof absorptance were included as explicit design predictors, enabling the surrogate model to generalize across the full combinatorial design space rather than requiring a separate model for each configuration. Interpretability was assessed with SHAP values. Evaluated on orientation–absorptance combinations deliberately held out during training, the surrogate achieved high accuracy across zones of the house (R² = 0.98–0.99; RMSE = 0.31–0.67 °C) with stable, near-zero-centered residuals. When propagated into adaptive-comfort metrics computed directly relative to the monthly neutral temperature $T_n$, ML predictions preserved the main cold and hot discomfort degree-hour patterns across the full design space. The proposed surrogate enables rapid, physically consistent comfort-oriented screening of roof finishes and orientation choices in naturally ventilated social housing. Full article

More and more urban underpass tunnels are being constructed to alleviate traffic congestion; however, for this type of underground structure, the soil–structure interaction mechanisms under earthquake loading remain unclear, and dedicated advice and guidance for their seismic design are still lacking. This paper endeavors to investigate the dynamic interaction mechanisms of an underpass tunnel and surrounding soft ground using the finite element (FE) method. Firstly, the accuracy of the FE model in reproducing seismic responses of the layered half-space is validated by comparison with results of equivalent linear one-dimensional site response. Then, the dynamic response characteristics of 3D boat-shaped excavation are analyzed to determine the influence of potential local site amplification on the underpass tunnel. Finally, seismic behaviors of open and buried sections of the underpass tunnel are investigated in detail. The results show that under high-intensity rare earthquakes, severe damage occurs at the ceiling slab near the longitudinal beam and at the base of the side wall of the tunnel’s buried section; seismic underpass–site interactions might be influenced the most by the local topography effect of the 3D boat-shaped excavation, as well as a sudden stiffness change between the open and buried sections. Full article

The quantum Mpemba effect (QME) describes the counterintuitive phenomenon where a system initially further from equilibrium relaxes faster than one closer to it. Specifically, the QME associated with symmetry restoration has been extensively investigated across integrable, ergodic, and disordered localized systems. However, its fate in disorder-free ergodicity-breaking settings, such as the Stark many-body localized (Stark-MBL) phase, remains an open question. Here, we explore the dynamics of local $U\left(1\right)$ symmetry restoration in a Stark-MBL XXZ spin-$\frac{1}{2}$ chain, using the Rényi-2 entanglement asymmetry (EA) as a probe. Using an analytical operator-string expansion supported by numerical simulations, we demonstrate that the QME transitions from an initial-state-dependent anomaly in the ergodic phase to a universal feature in the Stark-MBL regime. Moreover, the Mpemba time scales exponentially with the subsystem size, even in the absence of global transport, and is governed by high-order off-resonant processes. We attribute this robust inversion to a Stark-induced hierarchy of relaxation channels that fundamentally constrains the effective Hilbert space dimension. The findings pave the way for utilizing tunable potentials to engineer and control anomalous relaxation timescales in quantum technologies without reliance on quenched disorder. Full article

The large-scale grid integration of distributed renewable energy enhances the flexible regulation capacity of the power system. However, the inherent randomness and volatility of its output, coupled with weak coupling access characteristics, pose severe challenges to the safe and stable operation of the power system. To address these issues, this paper proposes a power system planning method suitable for urban power grids. To accurately characterize the uncertainty of renewable energy output, the method incorporates the concept of multi-scenario stochastic optimization and introduces a dynamic scenario generation method for wind and solar power based on nonparametric kernel density estimation and standard multivariate normal distribution sequence sampling. This method generates a set of typical daily dynamic output scenarios for wind and solar power that closely match actual output characteristics. Considering the spatiotemporal response characteristics of flexible resources, the Soft Open Point (SOP) DC link enables flexible cross-node power transmission and spatiotemporal coupling regulation of flexible resources. Therefore, this paper constructs a mathematical model for the grid integration of flexible resources based on the SOP DC link. By integrating operational constraints such as power flow constraints in the power grid and source-load uncertainty constraints, a power system planning model is established. However, traditional convex optimization methods require approximate simplifications of the model, which can easily lead to a loss of accuracy. Although the Particle Swarm Optimization (PSO) algorithm is suitable for nonlinear optimization, it is prone to getting trapped in local optima. Therefore, this paper introduces an improved PSO algorithm based on refraction opposite learning, which enhances the algorithm’s global optimization capability by expanding the particle search space and increasing population diversity. Finally, simulation verification is conducted based on an improved IEEE-39 bus test system, and the results show that the proposed scenario generation method achieves a sum of squared errors of only 4.82% and a silhouette coefficient of 0.94, significantly improving accuracy compared to traditional methods such as Monte Carlo sampling. Full article

In China’s stock-based renewal agenda, many old residential communities display pronounced intergenerational overlap, in which grandparental childcare becomes a dominant pattern of outdoor-space use. Against the backdrop of age-structure shifts, population ageing, and persistently low fertility, community-level outdoor-space supply, distributive equity, and environmental adaptability have become key concerns in renewal practice. Yet, practitioners still lack a rankable, low-cost, and implementable evaluation-to-decision workflow. Using Xingshe Community in Dalian, China as an empirical case, this study establishes and tests an integrated “NLP–AHP–GBDT” assessment framework. Guided by policy discourse and planning theory, over 50 semi-structured interviews were processed via NLP-based semantic analysis and keyword mining to derive a two-tier indicator set (criterion and indicator layers). Seven specialists then applied the analytic hierarchy process to elicit indicator weights, and a resident survey was administered to generate weighted performance scores for diagnosing deficiencies. In the feedback-validation stage, we adopted both a qualitative Framework Method and a quantitative GBDT approach, first using the Framework Method to conduct feedback validation based on community residents’ open-ended evaluations. Subsequently, gradient boosting decision trees were used for supervised verification with renewal-scenario data, providing empirical backing for the weighting scheme and the resulting priority order for interventions. The findings suggest that outdoor spaces are broadly serviceable but fall short in intergenerational friendliness, reflecting a structural misalignment between intergenerational activity patterns and spatial provision. Based on the validated priorities, the study proposes modular, incremental micro-renewal measures focusing on safety and emergency accessibility, environmental comfort and caregiving–recreation coupling, and place identity with community organizational mobilization. Full article

Urban green spaces (UGS) are critical regulators of carbon sequestration in industrial cities; however, the configuration mechanisms underlying their carbon dynamics remain insufficiently understood. This study investigates how landscape configuration influences carbon sequestration capacity in Lanzhou and Baotou using multi-temporal datasets from 2000, 2011, and 2022. Net primary productivity (NPP) derived from the CASA model was employed to represent carbon sequestration capacity. An integrated XGBoost-SHAP framework was applied to identify dominant configuration metrics, nonlinear responses, and structural thresholds. The XGBoost model showed stable predictive performance across the three periods, with test-set R² values ranging from 0.470 to 0.510 in Lanzhou and from 0.325 to 0.379 in Baotou. The results reveal systematic and persistent differences in configuration-driven controls between the two cities. In Lanzhou, aggregation-related metrics, particularly COHESION, consistently exert the strongest influence across all three periods, indicating that spatial cohesion and connectivity function as primary stabilizing mechanisms in a mountainous, valley-constrained urban system. Carbon sequestration performance increases once sufficient structural integration is achieved, with aggregation thresholds remaining relatively stable, for example AI values of approximately 0.31–0.34 across 2000–2022, reflecting the importance of maintaining ecological continuity under semi-arid climatic stress. In contrast, Baotou is more strongly regulated by fragmentation-related metrics, especially edge density (ED) and division index (DIVISION), suggesting that its relatively open terrain and industrial spatial structure render carbon sequestration more sensitive to patch separation and edge proliferation. Here, fragmentation acts as a dominant structural constraint, limiting vegetation productivity once spatial disintegration intensifies; for example, ED thresholds shifted from approximately −0.23 in 2000 to −0.56 in 2022. Landscape–carbon relationships exhibit pronounced nonlinear and threshold-dependent behavior in both cities. Rather than responding gradually to structural modification, NPP shifts across identifiable transition points that remain broadly stable over time; for instance, Lanzhou’s AI threshold remains within 0.31–0.34, whereas Baotou’s ED threshold changes from −0.23 to −0.56 across 2000–2022, indicating that these thresholds represent intrinsic structural characteristics of the respective urban ecological systems. However, the magnitude and configuration logic of these thresholds differ between Lanzhou and Baotou, confirming the existence of city-specific nonlinear regimes. These findings demonstrate that urban carbon sequestration operates through context-dependent configuration pathways shaped by terrain, climatic constraints, and long-term spatial organization. The study advances understanding of how structural heterogeneity governs carbon dynamics in arid and semi-arid industrial cities and provides a quantitative basis for configuration-sensitive land planning. Full article

Background and Objectives: When a single missing tooth must be replaced, the best solution is the placement of an implant. In adults, most of the time the space for implant is totally or partially closed due to the shift in the adjacent teeth. The objective of the study was to describe the clinical parameters, treatment choices, and outcomes associated with orthodontic space opening for single-tooth implants in various treatment solutions, as well as to determine their influence on the variation in the dimension of the edentulous space. Materials and Methods: An observational prospective cohort study was designed in which patients with a single missing tooth were selected to be included in the study. After the clinical examination two groups were formed: patients who opted for fixed orthodontic treatment (metallic or sapphire) to open space for implant and patients who opted for alignment to achieve this (with Invisalign or Spark). All subjects received orthodontic treatment. A dental chart was created for each patient which included demographics, clinical data, orthopantomography (OPG), profile cephalograms, and photographs. The potential implant prosthetic space was measured during orthodontic treatment to observe the space dimension evolution in time. Results: In total, 97 patients were included in the study, 60 women and 37 men, with ages between 14 and 60 years. Edentulous spaces dimensions were opened from 1–4 mm to 5–6 mm (39.18% patients), 6–8 mm (48.45%), and >8 mm (12.37%). Both types of orthodontic treatments were effective in opening the potential prosthetic space for implant. Conclusions: Large prosthetic spaces and older edentulism tend to require longer treatments. Older patients had experienced edentulism for a longer period, indicating a correlation between age and the duration of tooth loss. Metal fixed orthodontic appliances were used in exceedingly long treatments, while aligners/sapphire brackets were used in short–medium durations. For the study group, fixed appliances and aligners proved to be effective in opening the space for future implants. Full article

Sustainable development in cities has gained popularity due to the emergence of numerous urban challenges in harsh environments. Selecting an accurate turbulence model in CFD is crucial for assessing the outdoor environment. Among the widely used microclimate simulation tools, ENVI-met stands out for its convenience and its proven effectiveness in urban microclimate studies. Elevated design, often referred to as ‘lifted up design,’ is standard in architectural practice, serving both as recreational spaces and corridors, potentially improving thermal comfort. To ensure reliable microclimate modeling, assessments in such areas should be validated against empirical data. This study compares the microclimatic conditions in open space beneath an elevated building using ENVI-met with on-site meteorological data collected in Xi’an, China, across three days with varying weather conditions. The results show that ENVI-met can reasonably reproduce air temperature (R² = 0.80–0.96, RMSE = 0.67–1.42 °C), relative humidity (R² = 0.85–0.99, RMSE = 2.83–9.32%), and mean radiant temperature (R² = 0.87–0.90, RMSE = 4.11–7.23 °C) under different conditions, though some deviations exist—especially with diffuse radiation, which ENVI-met tends to underestimate beneath elevated structures. Despite these discrepancies, the model performance was evaluated by comparing field measurements with ENVI-met outputs, and the results indicate that ENVI-met can provide useful insights for simulating microclimate conditions in open spaces beneath elevated buildings under different weather conditions. Full article

Artificial intelligence computing systems increasingly demand high-bandwidth, high-extinction-ratio, chip-to-chip optical transceivers. Silicon microring modulators (MRMs) are attractive for such transmitters due to their compact footprint and wavelength-division multiplexing capability. However, for a specified extinction ratio, the optical bandwidth for high-Q MRMs and the driver’s RC time constant prevent conventional single-segment MRM drivers from supporting 100 GBaud class PAM4 transmission. This work presents a broadband driver exploiting the feedforward technique for dual-segment MRMs. It extends electro-optical bandwidth while maintaining a high Q-factor and extinction ratio. The input signal is split into low- and high-frequency components that drive the long and short segments of the MRM, respectively. The long segment uses a broadband low-pass driver, whereas the short segment employs a driver with a programmable bandpass response near the Nyquist frequency. The design space is obtained from an equivalent electro-optical model under constant group-delay constraints. Simulations at 1310 nm show that the 3 dB electro-optical bandwidth improves from ~50 to >70 GHz and that a 200 Gb/s PAM4 optical eye diagram exhibits an open eye; the energy efficiency is 1.44 pJ/bit, and the extinction ratio improves from 2 dB to 4.1 dB. The proposed technique provides a tunable electro-optical co-design approach for high-bandwidth-density, high-extinction-ratio silicon photonic transmitters. Full article

Urban playgrounds are vital public spaces that support children’s play, social interaction, and well-being. However, many playgrounds in socially disadvantaged or aging urban areas experience physical deterioration, limited play diversity, and declining use. Although corporate social responsibility (CSR) initiatives have increasingly supported playground regeneration, many projects continue to emphasize short-term physical improvements rather than participatory processes and social value creation. This study conceptualizes CSR-supported, child-participatory playground regeneration as a social value creation process and examines how CSR enables process continuity through a structured six-stage participatory approach spanning planning, design, construction, and post-opening use. Two cases were selected from the “Save the Playground” program in Seoul, Korea: Saerok Children’s Park in a stable residential neighborhood and Mukjeong Children’s Park in a high-mobility, multicultural commercial district. Using a qualitative multiple-case study design, the study triangulates workshop outputs, observational records, facilitator field notes, and official program documents through thematic and cross-case analyses. The findings indicate that CSR support primarily ensured process continuity and facilitated multi-actor coordination across project stages. By securing implementation continuity and stabilizing governance arrangements, CSR support allowed participatory outputs to be iteratively translated into design development and post-opening evaluation. Post-opening outcomes differed by urban context; nevertheless, both cases showed social value creation through strengthened place attachment, responsibility-oriented use, and inclusive mixed-group play. This study advances a cross-case analytical framework linking urban context, participatory mechanisms, and post-opening social value outcomes, contributing to a more context-sensitive understanding of CSR-supported participatory design processes and their implications for sustainable urban public space development. Full article

Determining the solution set of a system of linear interval equations is often a difficult task. Establishing a general theory that includes the classical theory of systems of linear equations as a special case opens the door to extensive and challenging research. In this study, we aim to develop results concerning the solution sets of such systems by employing the concept of quasilinear spaces. First, we define the determinant of an interval matrix as an interval and its rank as a pair of natural numbers. Then, we introduce the concept of a quasi-inverse for interval matrices and derive several results based on this notion. Using these results, we prove a theorem, which we call the interval Cramer’s rule, concerning the solutions of certain linear interval equation systems. In addition, with respect to the existence of solutions for this type of equation, we present a theorem related to the rank of the interval matrix that models the system. Full article

Polymer packaging plays a crucial role in food preservation but poses major challenges in recycling and environmental persistence. To address the need for sustainable, high-performance alternatives, we employed a polymer informatics workflow to identify single- and multi-layer drop-in replacements for polymer-based packaging materials. Machine learning (ML) models, trained on carefully curated polymer datasets, predicted eight key properties across a library of approximately 7.4 million ring-opening polymerization (ROP) polymers generated by virtual forward synthesis (VFS). Candidates were prioritized by the enthalpy of polymerization, a critical metric for chemical recyclability. This screening yielded thousands of promising candidates, demonstrating the feasibility of replacing diverse packaging architectures. We then experimentally validated poly(p-dioxanone) (poly-PDO), an existing ROP polymer whose barrier performance had not been previously reported. Validation showed that poly-PDO exhibits strong water barrier performance, mechanical and thermal properties consistent with predictions, and excellent chemical recyclability (∼95% monomer recovery), thereby meeting the design targets and underscoring its potential for sustainable packaging. These findings highlight the power of informatics-driven approaches to accelerate the discovery of sustainable polymers by uncovering opportunities in both existing and novel chemistries. Beyond identifying potential replacements, this work establishes a generalizable framework for navigating vast polymer design spaces under competing performance constraints. The results illustrate how data-driven polymer design can bridge the gap between sustainability concepts and experimentally realizable materials for real-world packaging applications. Full article

As urban renewal shifts toward inventory optimization, studentification-driven socio-spatial conflicts in university-adjacent communities have intensified. This study examines Changsha Hexi University Town using structural equation modeling (SEM) to analyze residential satisfaction and spatial injustice. Findings reveal that university–community interaction and indoor space perception are primary determinants of satisfaction, highlighting the demand for residential dignity under “spatial squeeze”. Conversely, public resources and social capital exhibit a “decoupling effect” caused by infrastructure “functional alienation” and social fragmentation. A profound “perceptual rift” exists between indigenous owners, facing “spatial deprivation” in resource competition, and student tenants, lacking “spatial dignity” in subdivided units. These tensions are exacerbated by “institutional gating”—where physical openness coexists with administrative restrictions. Consequently, renewal strategies must transcend aesthetics to implement systemic “spatial compensation”. We recommend opening institutional assets, regulating informal rental standards, and establishing collaborative platforms. This research facilitates a paradigm shift from “spatial squeeze” toward “university–community symbiosis”, providing a framework for socio-spatial justice in high-density academic enclaves. Full article

We equip a topological space $(X,\tau )$ with a function $\mathfrak{a}:X\to \tau$ satisfying the single axiom $x\in \mathfrak{a}\left(x\right)$. The resulting triple $(X,\tau ,\mathfrak{a})$, which we call an aura topological space, provides a point-to-open-set assignment that differs from all existing auxiliary structures in topology—ideals, filters, grills, primals, and the various non-classical frameworks based on fuzzy, soft, or neutrosophic sets. The aura-closure operator ${\mathrm{cl}}_{\mathfrak{a}}\left(A\right)=\{x\in X:\mathfrak{a}\left(x\right)\cap A\ne ⌀\}$ is shown to be an additive Čech closure operator; it satisfies extensivity, monotonicity, and finite additivity, but idempotency fails in general. Iterating ${\mathrm{cl}}_{\mathfrak{a}}$ transfinitely yields a Kuratowski closure whose topology ${\tau }_{\mathfrak{a}}^{\infty }$ satisfies ${\tau }_{\mathfrak{a}}^{\infty }={\tau }_{\mathfrak{a}}\subseteq \tau$, where ${\tau }_{\mathfrak{a}}$ is the collection of all $\mathfrak{a}$-open sets. We introduce $\mathfrak{a}$-semi-open, $\mathfrak{a}$-pre-open, $\mathfrak{a}$-$\alpha$-open, and $\mathfrak{a}$-$\beta$-open sets, determine the complete hierarchy among these classes and their classical counterparts, and separate all non-coinciding classes by counterexamples on finite spaces as well as on the real line. The notions of $\mathfrak{a}$-convergence of sequences and the corresponding continuity notions and their decompositions are studied. Separation axioms $\mathfrak{a}$-$T_i$$(i = 0, 1, 2)$ are introduced, and it is proved that $\mathfrak{a}$-$T_1$ and $\mathfrak{a}$-$T_2$ are equivalent. A detailed comparison with ideals, filters, grills, and primals highlights the distinctive features of the aura framework. Full article

Armed conflict management increasingly demands new normative and strategic frameworks that preserve human life while maintaining effective deterrence capabilities. This study develops a multidisciplinary framework for rethinking armed conflict through the concept of just peace, integrating theology, ethics, law, technology, and empirical communication analysis. The research analyzes 7957 YouTube videos from NATO, the United Nations, and the Vatican, published over two years, employing semantic network analysis, modularity-based community detection, and sentiment analysis to identify emerging discourse patterns around peace, technology, and regulatory complexity. The findings suggest that contemporary socio-technological conditions are increasingly framed in ways that open a discursive space for rethinking conflict management beyond exclusive reliance on large-scale lethal force. Positive messaging correlates with higher audience engagement, while concepts such as law, ethics, religion, and technical standards emerge as interconnected regulatory domains. The study concludes that just peace is not naïve pacifism but a strategic, normatively grounded reorientation in contemporary deterrence thinking. Effective implementation requires integrated regulatory frameworks combining legal norms, ethical principles, religious values, and technical standards. The evolving technological landscape may allow deterrence systems to move beyond exclusive reliance on lethal force toward more humane and efficient conflict-management mechanisms. Full article