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Eliminating nanometer-scale asperities on metallic thin films through plasma modification processes studied by molecular dynamics and AFM
Published 2025-04-01“…Abstract We report the effects of reducing surface asperity size at the nanometer scale on metallic surfaces by plasma-assisted surface modification processes using simulations and experiments. …”
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322
Sustainable biochar synthesis via synergistic H2O2-KOH modification for enhanced CO2 physisorption
Published 2025-06-01“…It is revealed that H2O2-KOH modification can significantly promote the physisorption capacity of the biochar, highlighting the enhanced CO2 capture efficiency due to alkaline hydrogen peroxide treatment on the biochar and its enhancement in CO2 capture.…”
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323
Collaborative modification strategy to improve the formation of biochar-derived persistent free radicals for aniline removal via peroxymonosulfate activation
Published 2025-01-01“…Abstract This study explores a novel approach to biochar modification aimed at increasing persistent free radical (PFR) formation on biochar surfaces, thereby enhancing aniline removal via peroxymonosulfate (PMS) activation. …”
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324
Microstructure and Tensile Property Tailoring of Al–5Mg (wt%) Alloy Combined with Continuous Rheo-Extrusion and Sc Modification
Published 2025-01-01“…In this work, Al–Mg alloys fabricated by combining continuous rheo-extrusion (CRE) and Sc modification were proposed for producing Al–Mg alloys with high efficiency and superior mechanical performance. …”
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325
Collision Avoidance in Circular Motion of a Fixed-Wing Drone Formation Based on Rotational Modification of Artificial Potential Field
Published 2025-01-01“…In this paper, we propose to use an approach based on vortex vector fields, which are essentially a rotational modification of the artificial potential field (APF) method. …”
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Defense scheme for the world state based attack in Ethereum
Published 2022-04-01Get full text
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329
EFFICIENCY CHARACTERISTICS OF MICROALLOYED AND MODIFIED WHITE CAST IRONS
Published 2013-11-01Get full text
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330
Theoretical Analysis of the Efficiency of RV Reducer with Beveloid Gear
Published 2015-01-01“…Then,by taking effect factors of meshing efficiency such as meshing angle,cone angle and modification coefficient as the design variables,also with the goal of improving transmission efficiency,an optimization and analysis of the beveloid gear RV reducer is carried out. …”
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331
Efficient Reasoning upon Fusion of Many Data Sources
Published 2021-04-01“…Bayesian Knowledge Bases (BKB), a graphical model for representing structured probabilistic information, allow for efficient fusion of knowledge from multiple sources. …”
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332
STRAIN ELASTOGRAPHY EFFICIENCY FOR THYROID GLAND CANCER DIAGNOSIS
Published 2019-02-01“…Diagnostic efficiency for thyroid gland cancer diagnosis was: sensitivity – 78.9%, specificity – 88.1%, accuracy – 85.2%.…”
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333
Investigation of the Effect of Lead Adsorption on Surface Modified Fish Bones
Published 2020-12-01“… This study investigates lead (Pb) elimination of surface modified fish bones as a biogenic apatite source. Surface modification was performed with 4-Aminohippuric acid (MBA1) and 2-Thiophenecarboxaldehyde (MBA2). …”
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Improving Energy Efficiency with Energy Recovery for Propylene Production
Published 2024-12-01“…With a production capacity of 15,400 tons/year, the optimized process demonstrated enhanced energy efficiency and sustainability. This study highlights the potential of process modifications to achieve energy savings, lower production costs, and minimize environmental impact in the chemical industry. …”
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336
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Nanoformulation: An efficient approach to natural insect repellent formulations
Published 2024-08-01Get full text
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338
Ferroelectric NAND for efficient hardware bayesian neural networks
Published 2025-07-01“…The proposed system demonstrates successful uncertainty estimation, enhanced energy efficiency, and robustness to external noise for medical images.…”
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339
Unit-Centric Regularization for Efficient Deep Neural Networks
Published 2025-01-01“…This strategy enables the training of plain ReLU networks without relying on overparameterization, specialized initialization, normalization layers, or architectural modifications like skip connections. As a result, it promotes more efficient use of units and data, maintaining performance while avoiding waste of computational resources during both training and inference. …”
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340