Valorization of <i>Tagetes erecta</i> L. Leaves to Obtain Polyphenol-Rich Extracts: Impact of Fertilization Practice, Phenological Plant Stage, and Extraction Strategy by Narda Mejía-Resendiz, Martha-Estrella García-Pérez, Gina Rosalinda De Nicola, Noé Aguilar-Rivera, Emma-Gloria Ramos-Ramírez, María Galindo, Miguel Avalos-Viveros, José-Juan Virgen-Ortiz

“…This underscores the significance of <i>T. erecta</i> leaf residues as a valuable source of bioactive molecules, highlighting the importance of integrating agricultural practices and chemical extraction methods to enhance the phenolic content in leaf extracts from this species.…”
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Optimized Soil Moisture Mapping Strategies on the Tibetan Plateau Using Downscaled and Interpolated Maps as Mutual Covariates by Mo Zhang, Yong Ge, Jianghao Wang

“…Mapping strategies such as downscaling and interpolation have been developed to obtain high-resolution soil moisture maps from multi-source inputs. However, research on the optimization performance of integrating downscaling and interpolation, especially through the use of mutual covariates, remains unclear. …”
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Fusion PSPnet Image Segmentation Based Method for Multi-Focus Image Fusion by Jingchun Zhou, Mingliang Hao, Dehuan Zhang, Peiyu Zou, Weishi Zhang

“…PSPnet is utilized to extract the focused region of the source image, and ConvCRFs is used to optimize the segmentation map to obtain a refined map. …”
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Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects by Kim Junhyeong, Kim Jae-Yong, Kim Jungmin, Hyeong Yun, Neseli Berkay, You Jong-Bum, Shim Joonsup, Shin Jonghwa, Park Hyo-Hoon, Kurt Hamza

“…While conventional brute-force, intuition-based forward design methods have produced successful nanophotonic solutions over the past several decades, recent developments in optimization methods and artificial intelligence offer new potential to expand these capabilities. …”
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EOR: An Enhanced Object Registration Method for Visual Images and High-Definition Maps by Nian Hui, Zijie Jiang, Zhongliang Cai, Shen Ying

“…These factors are integrated into a nonlinear optimization model and extended Kalman filter framework. …”
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Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction by Qi Fei, Guisheng Yin, Zhian Sun

“…Experimental evaluations on 16 open-source software defect datasets indicate that the proposed HEDSE outperforms existing methods, providing a novel and effective solution for software defect prediction. …”
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Joint Optimization of Spectrum and Power Control in 6G Multi-UAV Networks: Managing Data Redundancy by Mohammad Ahmed Alnakhli

“…Additionally, we enhance energy efficiency through the Augmented Lagrangian method for power control optimization. Our approach achieves superior joint spectrum and energy efficiency, with spectrum efficiency reaching 0.75 bits/Hz, outperforming other methods by effectively exploiting data correlation. …”
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Proactive detection of anomalous behavior in Ethereum accounts using XAI-enabled ensemble stacking with Bayesian optimization by Vasavi Chithanuru, Mangayarkarasi Ramaiah

“…The decentralized, open-source architecture of blockchain technology, exemplified by the Ethereum platform, has transformed online transactions by enabling secure and transparent exchanges. …”
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Energy-Aware Multipath Routing Scheme Based on Particle Swarm Optimization in Mobile Ad Hoc Networks by Y. Harold Robinson, M. Rajaram

“…The CTRNN is used as an optimum path selection technique that produces a set of optimal paths between source and destination. In CTRNN, particle swarm optimization (PSO) method is primly used for training the RNN. …”
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Optimizing Bacterial Cellulose Production From Kombucha Tea Utilizing Molasses and Tea Dust in Growth Medium by Suriyapriya Selvaraj, Kalaichelvan Gurumurthy

“…Kombucha production was optimized for SCOBY yield by utilizing tea dust as a nitrogen source instead of tea leaves and blackstrap molasses as a carbon source. …”
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An Objective Evaluation Method for Image Sharpness Under Different Illumination Imaging Conditions by Huan He, Benchi Jiang, Chenyang Shi, Yuelin Lu, Yandan Lin

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Optimal State Estimation in Underwater Vehicle Discrete-Continuous Measurements via Augmented Hybrid Kalman Filter by Vadim Kramar, Kirill Dementiev, Aleksey Kabanov

“…The paper discusses, in detail, the theoretical foundations of the proposed method, including the mathematical description of continuous and discrete models, and its optimality criterion formulation. …”
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Improving and simulating urban landscape image recognition using combination optimization and fuzzy K-means algorithm by Lihua Yang, Yuhui Zheng

“…The research introduces a novel method combining a Combination Optimization (CO) strategy with a Fuzzy K-Means (FKM) clustering algorithm to address the challenges and achieve superior urban data analysis performance. …”
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DOF Enhanced via the Multi-Wavelength Method for the Moiré Fringe-Based Alignment by Kairui Zhang, Haifeng Sun, Dajie Yu, Song Hu, Junbo Liu, Ji Zhou

“…The Moiré fringe-based alignment method has the advantages of high precision and low complexity. …”
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Enhancing Energy Efficiency Utilized IoT: Power Optimization and Energy Harvesting Techniques for Sustainable and Resilient Systems by Dhafer Yaseen, Hasan Qays, Hasnaa Abdulkareem, Falah Ahmed

“…This study talks about the methods for optimizing power usage and harnessing energy to improve efficiency within networks shown in 2 and 2.1. …”
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Hybrid-Timescale Robust Optimization in Active Distribution Network with Energy Storage System-Soft Open Point by Qiushi RU, Xuefeng MI, Zhigang SONG, Jintao LIU, Xia LEI

“…The model ensures the system voltage stability and balances the distribution of power source and load in the distribution network. Finally, the modified IEEE 33 bus system is utilized to verify the effectiveness of the proposed method.…”
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A bioprocess optimization study to enhance the production of Menaquinone-7 using Bacillus subtilis MM26 by Maneesha M, Subathra Devi C

“…The one factor at a time (OFAT) results showed that medium containing lactose, glycine, with a pH 7, a temperature of 37 °C, and an inoculum size of 2.5% (2 × 10⁶ CFU/mL) was optimal synthesis of MK-7. RSM indicated that incubation time, carbon and nitrogen sources were the factors significantly affecting the MK-7 yield. …”
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Optimal Allocation of Hybrid Energy Storage in Low-Voltage Distribution Networks with Incentive-based Demand Response by Fengliang XU, Keqian WANG, Wenhao WANG, Peng WANG, Wenye WANG, Shuai ZHANG, Fengzhan ZHAO

“…With the high penetration rate of distributed photovoltaic access and the promotion of re-electrification and electrical energy substitution, the volatility of the system source and load is intensified, and the traditional distribution network planning methods are difficult to adapt to the requirements of the new power system development. …”
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Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale by Harsh Vazirani, Xiaofeng Wu, Anurag Srivastava, Debajyoti Dhar, Divyansh Pathak

“…The primary aim of this research is to develop and evaluate a novel optimization algorithm for accurate SOC prediction by leveraging multi-source environmental data. …”
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Electricity pinch analysis method for flexibility supply-demand matching in power systems by Yaling Mao, Tiejiang Yuan, Xueqin Tian, Yue Teng

“…Leveraging the theoretical framework of pinch technology from process engineering, this paper proposes an Electricity Pinch Analysis (EPA) method for flexibility assessment. First, the net-load profile is decomposed by successive variational mode decomposition (SVMD) optimized with the Red-billed Blue Magpie Optimization (RBMO) algorithm to construct a flexibility demand model. …”
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