Search Results (669)

The construction sector needs to transform to address increasing sustainability and resilience challenges driven by climate change and increasing demands from stakeholders such as governments and customers. While previous research has examined individual aspects of sustainable construction, there remains an important need for an integrated, performance-oriented framework to guide organisational capability development. This research study develops a novel Sustainability Performance-Led Progression Framework (SPL-PF) to support the systematic assessment of and improvement in sustainability and resilience performance within the construction sector. A structured literature review of global academic and industry sources (2020–2025) was conducted to identify key challenges and evidence-based strategies and solutions. Through systematic synthesis, ten challenge areas and forty-one success strategies were identified and consolidated into a staged maturity framework. The SPL-PF defines five progressive levels (compliance, integration, optimisation, collaboration, and innovative leadership) supported by performance criteria, measurement indicators, and an operational scoring approach. This framework enables organisations to benchmark current capability, prioritise interventions, and monitor continuous improvement across sustainability and resilience dimensions. Full article

Vision-and-language navigation (VLN) traditionally relies on explicit reasoning chains, which, despite being interpretable, impose severe constraints on inference efficiency and scalability in long-range environments. Existing multimodal large language models (MLLMs) frequently encounter latency bottlenecks due to the generation of verbose textual narratives during decision-making. To address these limitations, we propose spatial reasoning vision-and-language navigation (SR-VLN), a novel framework that shifts the paradigm from explicit chain-of-thought (CoT) to an implicit spatial representation space. SR-VLN introduces a pyramidal hierarchical history framework integrated with perceptual compression to condense historical trajectories into multi-scale representations, effectively minimizing token overhead while preserving critical spatial semantics. Rather than generating verbose textual reasoning steps, SR-VLN employs compact, learnable spatial tokens (S-Tokens) to perform agile inference directly within the latent feature space. To establish robust causal mappings between these implicit states and navigational actions, we employ a hybrid training strategy that combines sparse reward supervision with reinforcement learning via GRPO. Extensive evaluations on the R2R, REVERIE, and SOON datasets demonstrate that SR-VLN achieves state-of-the-art overall navigation performance, while maintaining a comparable balance between accuracy and efficiency. Compared to explicit reasoning baselines, our method reduces token consumption by 68% and achieves a 4.1× speedup in inference while reaching a 76.02% success rate and a 73.80% SPL on the R2R unseen split, thereby facilitating near-real-time action prediction in long-range navigation environments. Full article

Parallel multi-blade centrifugal fans present a challenge in simultaneously reducing aerodynamic noise and maintaining efficiency. This study presents a multi-objective optimization using a radial basis function (RBF)-assisted Bayesian optimization framework, with three volute parameters (tongue radius, tongue clearance, and axial gap) as design variables. Computational fluid dynamics (CFD) combined with the Ffowcs Williams–Hawkings (FW-H) acoustic analogy was employed to evaluate noise and total pressure efficiency. To reduce computational cost, an RBF surrogate model was constructed from 30 Latin hypercube samples, achieving leave-one-out cross-validation (LOOCV) R² values of 0.978 and 0.995 for noise and efficiency, respectively. A Bayesian search using the log expected hypervolume improvement (logEHVI) acquisition function was performed on the RBF response surfaces, converging to a hypervolume of approximately 0.72, consistent with an NSGA-II benchmark. Based on household fan requirements, a 70/30 noise-efficiency weighting was adopted, yielding RBF-predicted values of 59.04 dB and 0.545 for the selected low-noise-preference candidate. An independent CFD recalculation yielded 59.19 dB and 0.554. The SPL at the characteristic frequency of 2550 Hz was reduced by 9.9 dB. Flow field analysis revealed that the optimized tongue clearance weakened the impingement on the volute tongue and suppressed unsteady vortex shedding. This framework provides an efficient strategy for multi-objective aerodynamic and acoustic optimization of parallel centrifugal fan systems. Full article

High sound pressure level (SPL) acoustic sensing requires miniaturized microphones that can operate under large acoustic loading while maintaining mechanical linearity, sufficient sensing response, and broadband audio frequency behavior. This work targets high-SPL operation and numerically investigates a graphene piezoresistive MEMS microphone based on a membrane-supported beam–island diaphragm. The proposed structure retains a continuous membrane for acoustic load bearing, while the upper beam–island topology redirects deformation-induced strain toward beam root regions where graphene piezoresistors are placed. This design is intended to increase the local strain available for piezoresistive readout without simply relying on larger global diaphragm deflection. Finite-element analysis was used to optimize the diaphragm geometry and evaluate strain enhancement, pressure response linearity, modal behavior, and harmonic response. Under the 170 dB SPL reference condition, the optimized structure increases the peak structural strain from 47.83 με in a thickness-equivalent solid diaphragm to 562.53 με, achieving an approximately 11.8-fold enhancement in local sensing strain while maintaining a highly linear pressure response (R2 > 0.9999). Additionally, the results also show that the sensor exhibits a high first natural frequency of 64.07 kHz and a small response variation of approximately 0.94 dB within the 0–20 kHz target frequency range, indicating excellent dynamic stability and high-fidelity signal transduction characteristics. To connect the structural response with piezoresistive readout, first-order electromechanical output estimation was further performed using representative graphene gauge factors, quarter-bridge readout assumptions, contact resistance correction, and Johnson-noise-limited signal-to-noise ratio estimation. A ±5% geometric tolerance check further indicates that the membrane side length is the most fabrication-sensitive parameter, while the selected design remains generally robust except for reduced linearity margin under positive membrane side-length deviation. These results demonstrate the potential of the proposed graphene-based MEMS microphone for high-SPL broadband acoustic sensing applications in harsh and high-intensity acoustic environments. Full article

This narrative review synthesizes current knowledge on MADS-Box 27 (OsMADS27), a member of the AGL17 clade in rice that has emerged as a regulatory node linking nitrate signaling, root development, and abiotic stress tolerance. Because most functional and mechanistic studies on OsMADS27 to date have been conducted in rice, this review is centered on Oryza sativa, with cross-species comparisons used for evolutionary and comparative context. Specifically, we summarize the gene and protein structure, phylogenetic position, expression profile, upstream and downstream regulation, and emerging functional significance of OsMADS27. OsMADS27 is a typical MIKC-type MADS-box protein with root-preferential expression, and its activity is strongly influenced by nitrate availability and miR444-mediated regulation. Evidence from functional genomics, transcriptomics, ChIP-based studies, and transgenic analyses suggests that OsMADS27 contributes to the regulation of root architecture, nitrate uptake, hormonal crosstalk, and stress-responsive pathways. Notably, OsMADS27 enhances salt tolerance through nitrate-dependent activation of downstream targets such as OsHKT1;1 and OsSPL7, contributing to ion homeostasis and salinity tolerance. Recent findings also suggest roles in grain size regulation and yield improvement, expanding its significance beyond root biology. This review compares OsMADS27 with AGL17-clade genes and highlights its value for crop improvement aimed at salinity tolerance and nitrogen use efficiency. However, important research gaps remain, particularly the limited field-level validation, the absence of integrated multi-omics analyses, and the lack of functional studies of OsMADS27 orthologs in non-rice crops. Overall, OsMADS27 represents promising rice-centered target for future biotechnology applications, while its translational relevance to other cereals remains to be established through orthology analysis and field-level evaluation. Full article

The FAR-RED IMPAIRED RESPONSE 1 (FAR1) and FAR-RED ELONGATED HYPOCOTYL 3 (FHY3) transcription factors, together with other members of the FAR1-RELATED SEQUENCE (FRS) and FRS-RELATED FACTOR (FRF) families, represent a striking example of transposable element domestication in plants. Derived from ancient Mutator-like element (MULE) transposases, these proteins have been repurposed as transcriptional regulators throughout the plant kingdom. FHY3 and FAR1 were first identified in Arabidopsis thaliana as positive regulators of phytochrome A (phyA) signaling. They participate in the coordination of light signaling with the circadian clock, chlorophyll biosynthesis, hormone pathways, stress responses, flowering time, shoot branching, leaf senescence, seed dormancy, and phosphate homeostasis. At the molecular level, FHY3 and FAR1 regulate gene expression mainly by binding to the conserved FHY3/FAR1-binding site, FBS, with the sequence CACGCGC, in the promoters of target genes. They also act through protein interactions with key signaling regulators, including HY5, PIFs, EIN3, TOC1, and SPL transcription factors. In this review, we summarize the molecular basis of FHY3/FAR1 gene family function, discuss the roles and mutant phenotypes of characterized family members, and highlight recent advances from other plant species beyond Arabidopsis. Collectively, this gene family illustrates how domesticated transposase-derived proteins have evolved into key regulators of plant development and environmental adaptation. Full article

Soil moisture (SM) is a key variable for assessing plant water availability, especially in rain-fed systems where imbalances strongly affect crop development. Satellite missions such as SMAP provide global SM estimates, though representing vertical SM variability remains challenging. This study evaluates the performance of SMAP Level 4 Global 3-hourly 9 km grid EASE-Grid Surface and Root-Zone Soil Moisture Geophysical Data (SPL4SMGP, version 7 and the new and scarcely evaluated version 8) using field observations from the Argentine Pampas, a region dominated by Typic Argiudolls soils (~16 million ha). The analysis covered normal-wet and dry conditions across several crop seasons. Surface (SSM, ~5 cm) and root zone (RZSM, 0–100 cm) soil moisture were compared against field data using Pearson’s correlation (r), bias, and unbiased root mean square deviation (ubRMSD). Both SSM and RZSM achieved ubRMSD values close to the SMAP accuracy target (≈0.04 m³/m³). SSM correlated moderately with observations (r = 0.57–0.72) and showed a consistent negative bias (−0.08 ± 0.05 m³/m³). In contrast, RZSM exhibited low sensitivity to soil profile variability and a narrow dynamic range. Version 8 showed similar performance to version 7, with a tendency toward overestimation, mainly during dry periods. Overall, SPL4SMGP products effectively capture SSM dynamics but show limited skill in representing root zone variability in Typic Argiudolls. Full article

Background/Objectives: Hearing loss is a leading cause of disability worldwide, with speech perception representing a key functional outcome of auditory rehabilitation. While hearing aids improve audibility, outcomes vary substantially across clinical subgroups. This study aimed to compare speech perception outcomes after hearing aid fitting in adults with conductive and sensorineural hearing loss and to identify determinants of variability in rehabilitation outcomes. Methods: This prospective longitudinal observational study included 250 adults with clinically confirmed bilateral conductive or sensorineural hearing loss who underwent standardized audiological assessment, bilateral hearing-aid fitting, immediate post-fitting evaluation, and 3-month follow-up in Kazakhstan between January 2023 and December 2024. Participants were classified as having conductive (n = 100) or sensorineural hearing loss (n = 150) based on audiometric criteria. Speech perception was assessed using a Kazakh-language open-set speech audiometry test. Multivariable linear regression models were used to estimate differences in 3-month aided speech perception after adjustment for the corresponding immediate post-fitting aided score and prespecified demographic, clinical, and audiometric covariates. Linear mixed-effects models were used separately to assess change in aided speech perception from immediate post-fitting to 3 months and to test whether this change differed by hearing-loss type. Propensity score matching was performed as a secondary sensitivity analysis. Results: Patients with conductive hearing loss demonstrated consistently higher speech perception scores than those with sensorineural hearing loss across all conditions. At 3 months, adjusted analyses showed no significant difference between groups for aided speech perception in quiet at 60 dB SPL, whereas sensorineural hearing loss remained associated with lower aided speech perception in noise at 60 dB SPL with SNR +3 dB (β = −1.73; 95% CI: −3.10 to −0.36; p = 0.014). In mixed-effects models assessing repeated aided scores from immediate post-fitting to 3 months, sensorineural hearing loss was associated with lower overall aided speech perception in both quiet and noise conditions. A modest improvement over time was observed only for speech perception in noise, and the group-by-time interaction was not statistically significant. Increasing age, higher tonal thresholds, advanced hearing loss stage, and living alone were independently associated with poorer outcomes. Conclusions: Aided speech perception scores were high after hearing-aid fitting in both conductive and sensorineural hearing loss; however, patients with sensorineural hearing loss showed persistently poorer outcomes, particularly in noise. These findings highlight the importance of incorporating speech-in-noise assessment and addressing clinical and social determinants to support hearing rehabilitation. Full article

Soil cadmium (Cd) pollution has emerged as one of the key environmental issues threatening the safety of agricultural products worldwide, yet clean and low-cost intervention strategies that reduce Cd accumulation in edible crops without disrupting agricultural production remain scarce. Grafting onto tolerant rootstocks represents an emerging clean agronomic technology that achieves in situ Cd risk reduction within a single growing season. However, the molecular mechanisms by which rootstocks regulate scion phenotypes remain poorly understood. MicroRNAs (miRNAs) act as critical long-distance signals in plants, yet their roles in rootstock-mediated growth promotion and Cd reduction remain largely unclear. In this study, we used Solanum torvum as rootstock and purple eggplant (Solanum melongena) as scion to investigate growth, fruit quality, Cd accumulation, and miRNA-mediated regulatory mechanisms. Grafting significantly increased plant height (by 18%), stem diameter (by 12%), and yield without obvious effects on fruit quality. Under Cd stress, the Cd content in grafted eggplant fruits was reduced by 76%, whereas leaf potassium (K), calcium (Ca), and magnesium (Mg) contents were elevated by 21%, 17%, and 10%, respectively. High-throughput sequencing and quantitative real-time polymerase chain reaction identified five key differentially expressed miRNAs, including miR164a and miR166b, four of which were related to Cd stress. Gene Ontology (GO) enrichment analyzes that their target genes were mainly involved in hormone signal transduction and ion transport. Further validation suggested that grafting improved growth and reduced Cd accumulation by regulating genes of the NAC, SPL, and HD-ZIP III families. These results suggested that suitable rootstocks can enhance crop productivity and reduce toxic metal accumulation in edible parts through miRNA-mediated regulation. Full article

Low-frequency traffic noise below 500 Hz is difficult to mitigate because its long wavelengths require impractically large conventional resonators. Here, we report an active-learning-guided inverse-design approach for scalable phononic-crystal-based acoustic metamaterial resonators that simultaneously suppress low-frequency noise transmission and harvest acoustic energy. The approach combines Gaussian process regression surrogate modeling with genetic algorithm optimization to efficiently explore high-dimensional cavity geometries. By iteratively retraining the surrogate with FEM-validated designs, the active-learning process guides the search toward high-performance structures while reducing costly FEM evaluations compared with conventional GA optimization. After geometric scaling, the 2.5D prototype derived from the nine-point optimized cavity achieved a pressure amplification factor of approximately 20 near 490 Hz, while the revolved 3D cavity exhibited amplification exceeding 30 and a transmission loss of approximately 14 dB near the target frequency. Integrated with a mass-loaded five-PZT stack, the device generated 5.5 V_pp and 0.25 mW under 100 dB SPL, corresponding to a normalized power density of 0.58 μW Pa⁻² cm⁻³. These results demonstrate a route toward multifunctional piezoelectric acoustic devices for noise mitigation, localized energy harvesting, and self-powered sensing. Full article

In this work, the underwater acoustic signatures of marine vessels are investigated, with a focus on the impacts of methanol-based high-temperature proton exchange membrane fuel cell (HT-PEM FC) propulsion systems and their coupling with structural dynamics. The acoustic field is modeled through a monopole–dipole representation directly linked to the vibration and dynamic response of the vessel structure and propulsion units. The model is validated against experimental sound pressure level (SPL) data as a function of depth, showing excellent agreement: the SPL decreases from about 140 dB at 5 m to approximately 120 dB at 50 m, where the model prediction (119 dB) closely matches the experimental value (121 dB). Representative numerical results indicate the suppression of the monopole component for the HT-PEM FC and a reduction in the dipole pressure amplitude by approximately a factor of 19 relative to the diesel engine (DE) configuration. In the 20–100 Hz band, at $r=10$ m, the acoustic pressure amplitudes range from $\mathcal{O}({10}^1-{10}^2)$ Pa for the diesel engine (DE) to $\mathcal{O}({10}^0-{10}^1)$ Pa for the HT-PEM FC, while, at $r={10}^5$ m, they decrease to $\mathcal{O}({10}^0-{10}^1)$ Pa and $\mathcal{O}({10}^{-1}-{10}^{-2})$ Pa, respectively. The absolute levels depend on the assumed structural excitation and vibro-acoustic coupling and are mainly used here to quantify the relative reduction achieved by the HT-PEM FC with respect to the DE. A distance-normalized formulation is introduced to account for geometric spreading, enabling a consistent comparison despite differences in source characteristics. Overall, the proposed framework establishes a direct link between structural vibrations and underwater radiated noise and provides a physically consistent and quantitatively validated approach for the design of low-signature marine propulsion systems. Full article

Background: Prolonged exposure to moderate and loud noise is known to impair hearing; however, the safety of long-duration exposure to low-level sound, such as that encountered during everyday conversation, remains unclear. This study aimed to determine the effect of continuous exposure to sound at a 65 dB sound pressure level (SPL) on auditory processing. Methods: Auditory brainstem responses (ABRs) were recorded in C57BL/6 mice before and after a 1 h exposure to a continuous pure tone at 65 dB SPL. Changes in ABR thresholds, wave amplitudes, and latencies were analyzed across frequencies and time points. Correlations between amplitude and latency changes across ABR waves were also assessed. Results: Tone exposure induced a significant, frequency-specific increase in ABR thresholds, with a mean elevation of approximately 6 dB and a maximum shift of 15 dB. Significant reductions in amplitudes and prolongations of latencies were observed in Waves I–III, while Wave V amplitude remained relatively stable. A strong negative correlation between amplitude reduction and latency increase was found in Wave I, which progressively weakened from Wave II to Wave V. These functional changes persisted for up to three hours following exposure before gradually returning to baseline. Conclusions: Prolonged exposure to low-level sound at intensities typical of conversational speech can transiently impair auditory function and alter early neural processing in the auditory pathway. These findings suggest that sound levels commonly considered safe may still pose a risk when exposure is sustained, with implications for understanding hidden hearing loss and improving early diagnostic approaches. Full article

Verticillium wilt, caused by Verticillium dahliae, is a devastating disease that severely threatens cotton production worldwide. The long-term survival of the pathogen in soil and the limited availability of resistant cultivars make effective control strategies challenging. Although the fungal cross-kingdom RNA VdsR-1 has been reported to delay floral transition and prolong vegetative growth, the underlying plant regulatory mechanisms remain largely unclear. Here, we show that the transcription factor AtTOE1, a target of ath-miR172b-3p, displays altered expression in response to changes in ath-miR172b-3p levels during V. dahliae inoculation, coinciding with coordinated changes in plant immune-related and developmental responses. Increased AtTOE1 expression is correlated with enhanced disease resistance, reduced pathogen colonization, and delayed floral transition. Furthermore, our results indicate that the VdsR-1/AtSPL13A module is associated with modulation of AtTOE1 expression via ath-miR172b-3p, suggesting the involvement of a cross-kingdom RNA-related regulatory framework linking plant immunity and development. Notably, this regulatory relationship is also observed in cotton, indicating evolutionary conservation across plant species. Together, our findings highlight TOE1 as a potential integrator of defense and growth-related processes during pathogen challenge and provide insights that may inform strategies to improve resistance to V. dahliae in cotton and other crops. Full article

Road traffic noise in urban streets is shaped not only by traffic sources but also by sound propagation through the surrounding street geometry. Existing prediction methods are still largely source-oriented, and receptor-specific models that rely on street morphology alone remain uncommon. We developed and compared interpretable machine-learning models to predict a cyclist-side sound pressure level (SPL) under fixed source conditions, using 12 spatial parameters extracted from 5060 street sections on 195 streets in Harbin, China. Acoustic simulations were performed in ODEON under fixed source-power conditions, and four models—Linear Regression, support vector regression (SVR), extreme gradient boosting (XGBoost), and Random Forest (RF)—were evaluated through an illustrative 80/20 split, 20 repeated random 80/20 splits, and 20 road-name-based grouped holdout repetitions. The nonlinear models consistently outperformed the linear baseline. Under grouped holdout validation, XGBoost achieved the highest predictive accuracy (R² = 0.953 ± 0.018, RMSE = 0.583 ± 0.119 dB, MAE = 0.418 ± 0.082 dB). RF reached comparable accuracy (R² = 0.938 ± 0.041, RMSE = 0.662 ± 0.210 dB, MAE = 0.453 ± 0.128 dB) and was retained for the interpretation of feature importance and marginal response patterns. A computation-time comparison based on 93 representative ODEON simulations showed that ODEON required a median of 2 min 33 s per street section, whereas the trained models predicted all 5060 sections in 0.013 s with XGBoost and 0.143 s with RF. The RF-based interpretation identified vehicle-lane width, sidewalk width, and near-zone cross-sectional enclosure degree as the most influential variables. Width-related parameters dominated cyclist-side SPL prediction, while enclosure-related parameters became more relevant mainly under narrower width conditions. The framework is therefore intended as a comparative morphology-screening tool under fixed source conditions, not as a predictor of real-world traffic noise under varying traffic states. Full article

Background: Maize shoot height is an important component of early vigor and plant architecture; however, its genetic basis during seedling development and its relationship with modern breeding remain insufficiently understood. This study aimed to investigate the genetic architecture of maize seedling shoot height across different breeding eras. Methods: Shoot height at 21 days after sowing was evaluated in 363 maize inbred lines representing three breeding eras in China. Genome-wide association analysis was performed to identify loci and candidate genes associated with shoot height variation, and selective sweep analysis was used to detect breeding-era differentiated genomic regions. Results: Modern breeding lines from the 2000–2010s exhibited significantly greater shoot height than lines from earlier breeding periods. Pearson’s correlation analysis revealed that 3-week shoot height showed highly significant positive correlations with plant height and ear height. Selective sweep analysis identified multiple differentiated genomic regions harboring previously reported height- and architecture-related genes, including ZmBR2, ZmLIL1, ZmNA1, ZmTE1, ZmSPL12, ZmBV1, ZmDIL1, ZmKN1 and ZmACS7. The GWAS identified 43 SNPs exceeding the GEC-derived suggestive threshold for shoot height, with the strongest and most continuous association signal located on chromosome 8. GWAS, together with LD analysis, haplotype analysis, and expression profiling, prioritized ZmGDCL (Zm00001d009163) as a promising candidate gene because of its strong association signal, local linkage disequilibrium support, broad expression profile, and significant haplotype effect on shoot height. Conclusions: Our results indicate that maize breeding has reshaped the genetic architecture of seedling shoot growth. ZmGDCL represents a promising candidate gene for future functional studies, while breeding-era differentiated regions provide useful genomic context for understanding maize architecture improvement. Full article