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  1. 1321

    Development of Sour Flavored Noni Juice Using Lactic Acid Compound as a Fermentation Media and Optimation by Jakfar Jakfar*, Husni Husin, Fahrizal Nasution, Ahmadi Ahmadi

    Published 2023-10-01
    “…The focus of this research is to optimize the effects of various concentrates of Aceh noni X1 (10–20 ml), lactose from UHT (ultra-high temperature) milk, and Yakult as a source of Lactobacillus casei X2 (10–25 ml) and X3 (2.5–10 ml). …”
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  2. 1322

    Cultivation Optimization and Structural Characterization of <i>Stephanocyclus meneghinianus</i> for Sustainable High-Quality Biosilica Production by Daeryul Kwon, Yoseph Seo, Chaehong Park, Sang Deuk Lee, Taek Lee

    Published 2025-06-01
    “…This study investigates the potential use of the freshwater centric diatom <i>Stephanocyclus meneghinianus</i> as a sustainable source of high-purity biosilica. We analyzed its morphology, microstructure, and optimal culture conditions, and developed a pretreatment method to recover intact biosilica frustules. …”
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  3. 1323

    Screening and Optimization of L-Methioninase Production by Gram-Negative Bacteria from Various Hospitals in Baghdad City by Zahraa Mohammed Wahib, Sahira Nsayef Muslim, Farha A. Ali Shafi

    Published 2024-12-01
    “…The L-methioninase activity reached its maximum level when E. coli U8 was cultivated with the best conditions, which is consisted of using modified mineral salt M9 broth medium supplemented with L-methionine mixed with galactose (2 g/L) as carbon source and L-glutamine (1.5 g/L) and incubated at 37°C for 48 hours at pH 7. …”
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  4. 1324

    Extraction Process Optimization of Flavonoids from Lycium barbarum Root and Its Antioxidant and Hypoglycemic Activities in Vitro by Jiayi WEI, Lu LU, Lutao ZHANG, Bo JIN, Haoqi NING, Yanping LI, Jia MI, Yamei YAN

    Published 2025-07-01
    “…The optimization of the ethanol extraction method for Lycium barbarum root flavonoids was based on the total flavonoid content. …”
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  5. 1325
  6. 1326

    Multi-objective optimization of graphene far-infrared paddy drying process based on response surface methodology by Jiyou An, Yuanjie Du, Jianchun Yan, Hai Wei, Huanxiong Xie

    Published 2025-01-01
    “…The Box–Behnken response surface methodology and expectation function method were employed to model and optimize the quality of far-infrared drying of paddy graphene. …”
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  7. 1327

    Derivation and application of analytical model for engineering optimization of drainage well hole in coal seam roof aquifer by Zhenfang ZHOU

    Published 2025-03-01
    “…A comprehensive optimization method for drainage well hole engineering is proposed, which is applied to a typical case working face in Yuanyanghu Mining Area of Ningdong Coal Field. …”
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  8. 1328
  9. 1329

    Frozen-field Modeling of Coronal Condensations with MPI-AMRVAC. II. Optimization and Application in 3D Models by Yuhao Zhou, Xiaohong Li, Jack M. Jenkins, Jie Hong, Rony Keppens

    Published 2024-01-01
    “…In this work, we combine the ffHD prescription with hyperbolic thermal conduction (TC) and the Transition Region Adaptive Conduction (TRAC) method to achieve further optimization. A series of 2D tests are done to evaluate the performance of the hyperbolic TC and the TRAC method. …”
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  10. 1330

    Short-Term Prediction of Ship Heave Motion Using a PSO-Optimized CNN-LSTM Model by Guowei Li, Gang Tang, Jingyu Zhang, Qun Sun, Xiangjun Liu

    Published 2025-05-01
    “…This paper presents a prediction method of ship heave motion based on the particle swarm optimization (PSO) and convolutional neural network–long short-term memory (CNN-LSTM) hybrid prediction model. …”
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  11. 1331

    A multi-objective synergistic optimization model considering the water-energy-food-carbon nexus and bioenergy by Gaiqiang Yang, Yuxin Su, Lijuan Huo, Dongpeng Guo, Yusi Wu

    Published 2025-05-01
    “…The research methodology integrates multi-objective optimization theory with the ideal point method to obtain optimization solutions. …”
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  12. 1332

    Life cycle cost of communication towers: identification and hierarchical classification of influencing factors by Jing Zhang, Yang Wang, Qianyi Xu, Hongshuai Gao

    Published 2025-07-01
    “…An integrated Grey-SNA-ISM model was then developed. The method identified 49 factors influencing LCC, integrated Grey-SNA centrality indicators, and established four network hierarchies, which include source-driven, intermediary conduction, collaborative central control, and outcome response. …”
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  13. 1333

    Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm by Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, Jumpol Polvichai, Aysha Sohail

    Published 2024-01-01
    “…Artificial neural networks (ANNs) are widely used machine learning techniques with applications in various fields. Heuristic search optimization methods are typically used to minimize the loss function in ANNs. …”
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  14. 1334

    Optimization of medium components for the production of exopolysaccharide by Lycoperdon pyriforme Schaeff.: Pers. using response surface methodology by MA Xiaokui, JIANG Hua, LI Junzhi, CHEN Yong, HE Xiaojing

    Published 2013-09-01
    “…The concentration of EPS was measured by phenol-sulfuric acid method. For the optimization of medium components for enhanced EPS production, RSM was subsequently applied in this study. …”
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  15. 1335

    Construction and Application of Intelligent O&M System for Urban Rail Transit Signaling Systems by YU Meng, LU Huaike, LIANG Zhe, FAN Zichao, GAO Ning

    Published 2025-07-01
    “…The goal is to break through the technical and managerial bottlenecks of traditional O&M models and achieve efficient, precise, and sustainable O&M system. [Method] By integrating multi-source heterogeneous data and building a multi-layer architecture, the system enables real-time equipment status monitoring and degradation trend analysis, significantly improving data utilization and fault identification capabilities. …”
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  16. 1336

    A Combined Study on Optimization, In Silico Modeling, and Genetic Modification of Large Scale Microbial Cellulase Production by Md. Raisul Islam Rabby, Zabed Bin Ahmed, Gobindo Kumar Paul, Nafisa Nusrat Chowdhury, Fatema Akter, Mamudul Hasan Razu, Pranab Karmaker, Mala Khan

    Published 2022-01-01
    “…In this review, we focus not only on the conventional methods of cellulase production but also on modern biotechnological approaches applied to cellulase production by a sequential study on common cellulase-producing microbes, modified microbes, culture media, carbon sources, substrate pretreatment process, and the importance of optimum pH and temperature on fermentation. …”
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  17. 1337

    SegTrackDetect: A window-based framework for tiny object detection via semantic segmentation and tracking by Aleksandra Kos, Karol Majek, Dominik Belter

    Published 2025-05-01
    “…This work introduces SegTrackDetect, an open-source, window-based framework for small and tiny object detection. …”
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  18. 1338

    A hybrid multi-optimizer approach using CNN and GB for accurate prediction of citrus fruit diseases by Lawrence Kujur, Varuna Gupta, Abhinav Singhal

    Published 2025-02-01
    “…Trained on a dataset of 3,000 citrus fruit images sourced from Kaggle, the model follows a structured process of preprocessing, feature extraction, integration of GB with CNN, and optimal prediction. …”
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  19. 1339

    An advanced 10K SNP panel for genotyping tomato (Solanum lycopersicum L.) via targeted genome sequencing by Yawo Mawunyo Nevame Adedze, Yanfen Xu, Song Liu, Yaran Zhao, Changjuan Mo, Renxu Zhang, Jiahui Dong, Haofa Lan, Jingjing Huang, Xingming Chen, Xuefei Gao, Qingzhen Yin, Jianan Zhang

    Published 2025-05-01
    “…A series of criteria were performed for site selection and for assessing the sequencing data effectiveness.Results and discussionThe panel designated as the GenoBaits Tomato 10K panel ultimately comprised 11,174 background sites, with 74.83% sourced from database 1 upon optimization. The uniformity_50 and capture efficiency of this panel were 98.03% and 74.84%, respectively, while the SNP detection rate was 99.34%. …”
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  20. 1340