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1541
The concentration of single-stranded DNA-binding proteins is a critical factor in recombinase polymerase amplification (RPA), as revealed by insights from an open-source system
Published 2025-08-01“…Our method incorporates enzymes from the bacteriophage T4 homologous recombination pathway—single-stranded binding protein (gp32), recombinase (UvsX), and mediator (UvsY)—along with Moloney murine leukemia virus (MMLV) reverse transcriptase with enhanced thermal stability, and Bst and Bsu DNA polymerases. …”
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1542
Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources
Published 2024-12-01“…Unlike conventional curtailment methods, such as Last In, First Out (LIFO) and Pro-rata, which often overlook the nuanced impacts of individual DERs on grid stability, our approach leverages electrical sensitivity analysis. …”
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1543
Optimizing Acidic Reductive Leaching for Lithium Recovery: Enhancing Sustainable Lithium Supply for Energy Markets
Published 2025-01-01“…The growing demand for lithium, driven by its crucial role in energy storage technologies such as lithium-ion batteries for electric vehicles, renewable energy storage, and portable electronics, is intensifying the need for sustainable extraction methods. While lithium is sourced from both primary and secondary resources, particularly from recycled materials, the recovery from spent lithium-ion batteries remains challenging. …”
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1544
Impact of arm position on low dose dual-source CT one-step aortic and cerebral-carotid artery angiography image quality and radiation dose
Published 2025-05-01“…Methods Between January 2022 and August 2023,a total of 185 patients were enrolled in the study and underwent low-dose one-stop cerebral carotid aortic CTA. …”
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1545
Two-Stage Robust Optimization Model for Fresh Cold Chain considering Carbon Emissions and Uncertainty
Published 2021-01-01“…Therefore, this paper constructs a two-stage robust optimization (TSRO) model using data-driven method and robust optimization theory and verifies the validity of this model through an actual case. …”
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1546
Design and Optimization of Optical NAND and NOR Gates Using Photonic Crystals and the ML-FOLD Algorithm
Published 2025-06-01“…A key innovation is the ability to realize both gates within a single structure by adjusting the phases of the input sources. To optimize the phase parameters efficiently, we employ the ML-FOLD (Meta-Learning and Formula Optimization for Logic Design) optimization formula, which outperforms traditional methods and machine learning approaches in terms of computational efficiency and data requirements. …”
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1547
Optimizing hardware configuration for solar powered energy management in battery ultracapacitor hybrid electric vehicles
Published 2024-11-01“…The primary storage battery’s longevity and overall system efficiency are intended to be increased by the EMS’s ability to forecast driving circumstances and lessen the load on it. The method optimizes power distribution among numerous energy storage sources by using sophisticated hardware configurations. …”
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1548
A Mathematical Programming Approach for Joint Optimization of Wind Farm Layout and Cable Routing Based on a Three‐Dimensional Gaussian Wake Model
Published 2025-02-01“…ABSTRACT Wind energy is currently one of the most promising alternative energy sources. The optimization of the wind farm layout and the cable layout are two important elements in the design of wind farms. …”
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1549
Optimal Dispatch of a Virtual Power Plant Considering Distributed Energy Resources Under Uncertainty
Published 2025-07-01“…Without proper control, high levels of renewable integration can pose challenges to optimal dispatch, especially as more generation sources, like wind and solar PV, are introduced. …”
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1550
Study on the peak shaving operation of cascade hydropower stations based on the plant-wide optimal curve
Published 2025-09-01“…This study proposes a novel method to enhance RES and hydropower utilization through: 1) Establishing a plant-wide optimal output-water level-outflow relationship curve based on the output-head-flow relationship and the flow-head loss and outflow-tailwater level relationship curves for each unit; 2) Developing a short-term peak shaving model for cascaded hydropower stations that incorporates wind and PV power which defines minimum coefficient of variation of residual load as objective functions, and improving discrete differential dynamic programming successive approximation (DDDPSA) method to solve it; 3) Analyzing the peak shaving capacity of the cascade hydropower station by varying water consumption for power generation. …”
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1551
Low-carbon optimization scheduling of IES based on enhanced diffusion model for scenario deep generation
Published 2025-06-01“…With the widespread integration of renewable energy sources into IES (Integrated Energy Systems), the uncertainties in renewable energy outputs and the volatility of user loads present new challenges for energy scheduling optimization. …”
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1552
Weighted Particle Swarm Optimization Algorithms and Power Management Strategies for Grid Hybrid Energy Systems
Published 2023-12-01“…This paper introduces the weighted particle swarm optimization (WPSO) method for controlling energy systems and grid hybrid energy systems that comprise photovoltaic (PV), wind turbine, batteries, and diesel generators. …”
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1553
Hybrid Decision Support Framework for Energy Scheduling Using Stochastic Optimization and Cooperative Game Theory
Published 2024-12-01“…The weighted aggregated sum product assessment (WASPAS) method is then used to rank potential solutions. The hybrid scheduling alternative, combining distributed and centralized solutions, stands out as the best alternative, significantly improving resource optimization and system resilience. …”
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1554
Brain tumor detection through image fusion using whale optimization and edge preserving filter
Published 2025-03-01“…While the detail layers are fused based on maximum energy assessed using the Krisch compass operator, the base layers are fused based on the whale optimization method, for which the objective function is maximization of entropy, edge strength and pixel intensity. …”
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1555
Harnessing greylag goose optimization for efficient MPPT and seven-level inverter in renewable energy systems
Published 2025-06-01“…The proposed GGO algorithm achieved a minimal THD of 1.95%, surpassing methods such as salp swarm optimization (6.14%), artificial neural networks with fuzzy logic (5.9%), hybrid global selective algorithm (GSA) selective harmonic elimination (7.7%), and genetic algorithms with particle swarm optimization (10.84%), demonstrating its exceptional efficacy in improving power quality.…”
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1556
Co-Optimized Design of Islanded Hybrid Microgrids Using Synergistic AI Techniques: A Case Study for Remote Electrification
Published 2025-07-01“…The results obtained show that the best performance was obtained with the Grey Wolf Optimization algorithm. This method achieved a minimum energy cost of USD 0.268/kWh. …”
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1557
A Multi-Objective PSO-GWO Approach for Smart Grid Reconfiguration with Renewable Energy and Electric Vehicles
Published 2025-04-01“…Comparative analyses further demonstrate that the hybrid method surpasses conventional optimization techniques, as evidenced by enhanced convergence rates and superior objective function outcomes. …”
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1558
Optimizing power grids: A valley-filling heuristic for energy-efficient electric vehicle charging.
Published 2025-01-01“…Among these strategies, the Valley-Filling approach has emerged as a promising method to optimize renewable energy utilization and alleviate grid stress. …”
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1559
Research on an optimal scheduling strategy for a virtual power plant participating in primary frequency regulation
Published 2025-02-01“…In response, this paper proposes an optimal scheduling strategy for the VPP using the improved multi-objective particle swarm optimization (MOPSO) and an integral power assessment method for primary frequency regulation. …”
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1560
Optimizing UI/UX of AIMsCORE Application with Design Thinking to Enhance User Interaction and Engagement
Published 2025-07-01“…This method strengthens data credibility and informs problem-based solution design. …”
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