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Urban flood mapping by fully mining and adaptive fusion of the polarimetric and spatial information of Sentinel-1 images
Published 2024-12-01“…Then, an ML-based unsupervised classification model assisted by uncertainty analysis based on the Gaussian mixture model is designed and implemented for flood mapping at different segmentation scales. Finally, guided by the minimum uncertainty, an adaptive fusion strategy of multi-scale information is proposed to integrate the flood mapping results at different scales for producing the final flood map. …”
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Adaptive Resistance of <i>Staphylococcus aureus</i> to Cefquinome Sulfate in an In Vitro Pharmacokinetic Model with Transcriptomic Insights
Published 2025-02-01“…Experiments were conducted to investigate the pattern of adaptive resistance of <i>S. aureus</i> to cefquinome sulfate under different dosage regimens by using pharmacokinetic-pharmacodynamics (PK-PD) modeling, and the adaptive-resistant bacteria in different states were screened and subjected to transcriptomic sequencing. …”
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887
Empirical Evaluation of the Relative Range for Detecting Outliers
Published 2025-07-01“…The results demonstrate the flexibility of the proposed statistic, as it adapts well to different underlying distributions and maintains robust detection performance under a variety of conditions. …”
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888
Time Series Forecasting Model Based on the Adapted Transformer Neural Network and FFT-Based Features Extraction
Published 2025-01-01“…The performance of the proposed model was evaluated using three diverse datasets collected by different sensors, each with varying measurement frequencies, data types, and application domains, providing a comprehensive comparison with state-of-the-art models such as LSTM, FFT-LSTM, DeepAR, Transformer, and FFT-Transformer. …”
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889
Proposing an Adaptive Neuro-Fuzzy System-Based Swarm Concept Method for Predicting the Physical Properties of Nanofluids
Published 2022-01-01“…In this regard, we gather an extensive and comprehensive data set from different sources. Here, the ANFIS model factors are optimized by using the particle swarm optimization (PSO) technique. …”
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890
Proposal of a climate-tourism index adapted to inland tourism in the Iberian Peninsula: applied to the city of Madrid
Published 2018-12-01“…It is a process of adaptation to inland tourism in the Iberian Peninsula, which is intended to verify its possibilities and limitations for the evaluation of the climate and its influence on this type of tourism. …”
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891
An Adaptive Task Traffic Shaping Method for Highly Concurrent Geographic Information System Services with Limited Resources
Published 2025-04-01“…The relationship between the task arrival rate and server load is established based on the queueing theory model, and the token fill rate of the token bucket is adjusted adaptively according to resource load evaluation, so as to optimize the task processing flow. …”
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892
ATM: Adaptive transformer model for reconstruction of remote sensing multi-temporal non-equispaced sequence imagery
Published 2025-05-01“…To realize efficient information processing by dynamically adjusting the weight distribution of the internal relations of data, the core workflow of ATM is divided into three steps: feature coding, relationship evaluation and adaptive focusing. Firstly, the input data is encoded as a sequence of vectors, each representing a local feature of the data. …”
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893
Bridging the gap in sustainability measurement and reporting for agroecosystems: Overview and development of an adaptive sustainability assessment and monitoring framework
Published 2025-01-01“…The proposed framework is dynamic and adaptable, allowing for the evaluation of sustainability based on region-specific objectives and indicators rather than absolute metrics. …”
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Cultural adaptation and validation of Turkish version of The Spiritual Needs Assessment for Patients (T-SNAP) scale in patients with cancer
Published 2025-07-01“…Methods The scale adaptation process involved the following steps: (1) translation and cross-cultural adaptation and (2) psychometric evaluation, including factor analysis, reliability analysis, and inter-item correlation assessment. 453 patients with cancer were included in the study. …”
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896
Synergistic Effects of Dual Low-Carbon Pilot Policies on Urban Green Land Use Efficiency: Mechanisms and Spatial Spillovers Through Difference-in-Differences and Spatial Econometri...
Published 2025-04-01“…Some cities serve as pilot sites for both “low-carbon cities” and “carbon emissions trading.” A multi-period Difference-in-Differences model is employed to empirically assess the impact and mechanisms of this “dual-pilot” policy on green land use efficiency. …”
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Characterization of two novel species of the genus Flagellimonas reveals the key role of vertical inheritance in the evolution of alginate utilization loci
Published 2025-08-01“…This study highlights the important role of vertical inheritance in the evolution of AULs and proves that the discrepancy in AUL structure can arouse phenotypic differences, providing a new perspective on the evolution of AUL and the niche adaptation mechanism of Flavobacteriaceae strains.IMPORTANCEFlavobacteriaceae play an important role in the marine carbon cycle with their noteworthy ability in algal polysaccharides degradation, which is primarily reliant on diverse polysaccharide utilization loci (PULs). …”
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Functional validation of hydrophobic adaptation to physiological temperature in the small heat shock protein αA-crystallin.
Published 2012-01-01“…Using sequence and structural modeling analysis we identified specific amino acid differences between the warm adapted zebrafish and cold adapted Antarctic toothfish that could contribute to these correlations and validated the functional consequences of three specific hydrophobicity-altering amino acid substitutions in αA-crystallin. …”
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Gibberellic acid-mediated transcriptional divergence underlies cold stress adaptation in two diploid cotton species
Published 2025-07-01“…Conclusion These findings indicate that expression divergence in GA-mediated pathways between sister species has driven adaptive evolution in cold stress tolerance. This study not only advances our understanding of cold adaptation mechanisms in cotton but also provides genetic insights for improving cold tolerance in cultivated varieties through targeted breeding and genetic engineering.…”
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