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561
High-entropy alloys catalyzing polymeric transformation of water pollutants with remarkably improved electron utilization efficiency
Published 2025-01-01“…The unique non-mineralization regime remarkably reduces PMS consumption and achieves a high electron utilization efficiency of up to 213.4%. Further DFT calculations and experimental analysis reveal that Fe and Co in HEA-NPs act as the primary catalytic sites to complex with PMS for activation, while Ni, Cu, and Pd serve as charge mediators to facilitate electron transfer. …”
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562
Flood risk mapping and performance efficiency evaluation of machine learning algorithms: Best practice in northern Iran
Published 2025-07-01“…For the analysis, we selected a comprehensive set of environmental and geographical parameters influencing flood susceptibility. …”
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563
Insights into Phase Transformations during Selective Laser Melting of Ti6Al4V: A Numerical Approach
Published 2025-04-01“…Selective Laser Melting (SLM) is a transformative additive manufacturing technique that enables the production of complex metallic components with high precision. …”
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564
Optimizing HVAC&R System Efficiency and Comfort Levels Using Machine Learning-Based Control Methods
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565
SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training
Published 2025-07-01“…However, traditional intrusion detection methods exhibit several limitations, including insufficient feature extraction from network data, high model complexity, and data imbalance, which result in issues like low detection efficiency, as well as frequent false positives and missed alarms. …”
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566
Strain promoted azide alkyne cycloaddition, an efficient surface functionalization strategy for microRNA magnetic separation
Published 2025-01-01“…Capture of the targeted miRNA by magnetic separation was then studied in buffered model media and in complex biological media. This study showed that MNP allowed magnetically-assisted extraction of target miRNA with good hybridization yields, even in biological media for which the capture capacity was preserved at around 75 %, with rapid kinetics and satisfactory selectivity.…”
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567
Marker-assisted selection in the development of advanced apple-tree forms and donors combining scab resistance with increased fruit storability
Published 2023-10-01“…They can also be used for breeding purposes as complex donors.…”
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568
Efficient Access to New Thienobenzo-1,2,3-Triazolium Salts as Preferred Dual Cholinesterase Inhibitors
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569
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570
Consistency and Stability in Feature Selection for High-Dimensional Microarray Survival Data in Diffuse Large B-Cell Lymphoma Cancer
Published 2025-02-01“…High-dimensional survival data, such as microarray datasets, present significant challenges in variable selection and model performance due to their complexity and dimensionality. …”
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571
A Study of the Spatial Effects of Financial Support and Economic Growth under Optimal Control of Nonlinear Generalized Complex Systems
Published 2022-01-01“…This paper selects three dimensions of the financial system, namely, financial structure, financial efficiency, and financial scale, and studies the adaptability between these three dimensions and the development of the real economy, respectively, and then uses different empirical methods to analyze the dynamic adaptability effects between the development of the real economy and these three dimensions of the financial system and finally explores the way of adaptability between the financial system and the development of the real economy. …”
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572
An Efficient Fine-Grained Recognition Method Enhanced by Res2Net Based on Dynamic Sparse Attention
Published 2025-07-01“…This paper presents an efficient architecture built upon the Res2Net backbone, significantly enhanced by a dynamic Sparse Attention mechanism. …”
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573
Lung and Colon Cancer Classification Using Multiscale Deep Features Integration of Compact Convolutional Neural Networks and Feature Selection
Published 2025-02-01“…The experimental results exhibited outstanding performance, attaining 99.8% classification accuracy with cubic SVM classifiers employing merely 50 ANOVA-selected features, exceeding the performance of individual CNNs while markedly diminishing computational complexity. …”
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574
Enhancing 3D A* path planning of intelligent bridge crane based on energy efficiency criteria
Published 2025-07-01“…To address the problems of traditional three-dimensional (3D) A* algorithm, such as low planning efficiency, numerous path inflection points, and increased path complexity when the target point is surrounded by obstacles, a 3D A* path-planning algorithm based on energy efficiency criteria is proposed in this study. …”
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575
Fermatean Probabilistic Hesitant Fuzzy Power Bonferroni Aggregation Operators with Dual Probabilistic Information and Their Application in Green Supplier Selection
Published 2024-09-01“…In the realm of management decision-making, the selection of green suppliers has long been a complex issue. …”
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576
A Comprehensive Approach to Intrusion Detection in IoT Environments Using Hybrid Feature Selection and Multi-Stage Classification Techniques
Published 2025-01-01“…This paper’s key contribution lies in the integration of feature selection and classification techniques tailored for IoT environments, filling a critical gap in the state of the art and offering a more adaptive and efficient solution for real-time intrusion detection.…”
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577
EphA2 and phosphoantigen-mediated selective killing of medulloblastoma by γδT cells preserves neuronal and stem cell integrity
Published 2025-12-01“…Importantly, preliminary safety data showed that γδT cells did not target differentiated neurons or neuroepithelial stem cells derived from induced pluripotent stem cells, underscoring the selectivity and safety of this approach. In conclusion, γδT cells trigger an efficient and specific killing of MB and would offer a promising novel therapeutic strategy.…”
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578
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579
Stochastic Fractal Search for Bayesian Network Structure Learning Under Soft/Hard Constraints
Published 2025-06-01“…However, the acquisition of expert knowledge faces problems such as excessively high labor costs, limited expert experience, and the inability to solve large-scale and highly complex DAGs. Moreover, the current data learning methods also face the problems of low computational efficiency or decreased accuracy when dealing with large-scale and highly complex DAGs. …”
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580
Accuracy and cost comparison of 3D-printed guides in complex spinal deformity correction: direct vs indirect design
Published 2025-05-01“…Among these techniques, patient-specific guides, which feature pre-defined and pre-validated trajectories, present an attractive solution for achieving precision in screw placement and osteotomies.MethodsCT scan data (DICOM format) from 10 patients with complex and severe spinal deformities were selected. …”
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