Showing 9,621 - 9,640 results of 10,710 for search 'control model optimization', query time: 0.27s Refine Results
  1. 9621

    Comparative transcriptomics reveal stage-dependent parasitic adaptations in the myxozoan Sphaerospora molnari by Monika M. Wiśniewska, Jiří Kyslík, Gema Alama-Bermejo, Alena Lövy, Martin Kolísko, Astrid S. Holzer, Anush Kosakyan

    Published 2025-02-01
    “…Sphaerospora molnari offers an appealing model for stage-specific transcriptomic profiling and for identifying differentially expressed key functional gene groups related to parasite development. …”
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  2. 9622

    Automatic sequence identification in multicentric prostate multiparametric MRI datasets for clinical machine-learning by José Guilherme de Almeida, Ana Sofia Castro Verde, Carlos Bilreiro, Inês Santiago, Joana Ip, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Celso Matos, Nickolas Papanikolaou, ProCAncer-I

    Published 2025-03-01
    “…However, optimal performance requires centre-specific data—controlling for model and used feature sets when comparing CV with LOGOCV, F1-score dropped for T2W, DCE and others (−0.146, −0.181 and −0.179, respectively), with larger performance decreases for CatBoost (−0.265). …”
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  3. 9623

    A Study on the Possibility of Molecular Communication between Honey Bees and Sunflower through the Interspecies Transfer of Small RNAs by Leila Gharehdaghi, Gholamhosein Tahmasbi, Taher Harkinezhad

    Published 2024-12-01
    “…Two cages served as controls (fed with sugar syrup) while the two others were treated with sunflower pollens. …”
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    Article
  4. 9624

    Predictive geographic multicast routing protocol in flying ad hoc networks by Hassen Redwan Hussen, Sung-Chan Choi, Jong-Hong Park, Jaeho Kim

    Published 2019-07-01
    “…The implementation of scalable and predictive geographic multicast routing mechanism in flying ad hoc network is done using Optimizing Network Engineering Tools Modeler 16.0. We have added the scalable and predictive geographic multicast routing mechanism in flying ad hoc network as a new routing scheme in the Mobile Ad hoc Network routing protocol groups of the Optimizing Network Engineering Tools Modeler. …”
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    Article
  5. 9625

    Innovations in Wave Energy: A Case Study of TALOS-WEC’s Multi-Axis Technology by Fatemeh Nasr Esfahani, Wanan Sheng, Xiandong Ma, Carrie M. Hall, George Aggidis

    Published 2025-01-01
    “…Developed at Lancaster University, UK, and supported by international collaborations, the TALOS-WEC project emphasises cutting-edge advancements in hydrodynamic modelling, geometric optimisation, and control systems. …”
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  6. 9626

    Numerical simulation of operating characteristics of horizontal filter separators for jet fuel by Zhiliang LEI, Linhui YU, Tian YU, Guilong XU, Qiang SONG, Yuanhua HE

    Published 2025-07-01
    “…MethodsOrthogonal tests and numerical simulations were conducted to analyze the velocity difference between the filter separator inlet and the coalescing filter element outlet face, as well as the pressure drop between the separator inlet and outlet, under varying conditions: the number of coalescing filter elements (3, 4, 7), inlet flow rate (98 m3/h, 131 m3/h, 230 m3/h), coalescing filter element permeability (1.74×10−9 m2, 1.74×10−10 m2, 1.74×10−11 m2), and separation filter element permeability (1.82×10−7 m2, 1.82×10−8 m2, 1.82×10−9 m2). The optimal velocity difference scheme was then subjected to inherent frequency analysis to determine whether resonance occurred in the filter elements within the model. …”
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    Article
  7. 9627

    Early bevacizumab dose and time modifications may affect efficacy of atezolizumab plus bevacizumab for advanced hepatocellular carcinoma treatment by F. Rossari, D. Lavacchi, E. Alimenti, C. Soldà, F. Salani, L. Esposito, S. Foti, S. Camera, M. Persano, F. Lo Prinzi, F. Vitiello, E. Pellegrini, M. Bruccoleri, M.D. Rizzato, M. Caccese, I.G. Rapposelli, A. Guidolin, A. De Rosa, L. Antonuzzo, G. Masi, M.A. Iavarone, S. Lonardi, M. Rimini, A. Casadei-Gardini

    Published 2025-06-01
    “…Baseline clinical and laboratory characteristics were analyzed with uni-/multivariate models to explore potential differences on overall survival (OS), objective response rate (ORR) and disease control rate (DCR) based on eBEVmod. …”
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  8. 9628
  9. 9629

    Novel non-resonant, low-frequency pulse–current circuit for energy-efficient, low-noise transcranial magnetic stimulation by Xinhua Tan, Zongrui Tian, Jiasheng Tian, Jiasheng Tian, Yingwei Li, Yingwei Li, Jian Shi

    Published 2025-06-01
    “…Each optimized triangular pulse–current waveform was modeled and simulated in MATLAB Simulink using these expressions. …”
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    Article
  10. 9630

    Designing a sustainable closed-loop supply chain using robust possibilistic-stochastic programming in pentagonal fuzzy numbers by Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, Mostafa Hajiaghaei-Keshteli, Mehdi Keshavarz-Ghorabaee, Edmundas Kazimieras Zavadskas, Jurgita Antuchevičienė

    Published 2024-12-01
    “…According to the proposed approach, an optimal value of confidence is specified. Additionally, robustness deviations are controlled in the model, which results in more accurate and reliable results. …”
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    Article
  11. 9631

    Polygenic Genetic Analysis of Principal Genes for Yield Traits in Land Cotton by Xiaoman Ma, Weifeng Guo, Liangrong He, Xinchuan Cao

    Published 2024-11-01
    “…These traits displayed either normal or skewed normal distributions. The optimal genetic model for single boll weight and seed index was PG-ADI, while MX2-ADI-AD best fit the traits of boll number per plant and lint percentage. …”
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  12. 9632

    The Impact of Audit Quality on Organizational Capital and Financing Capacity by Somaye Fathi, Mahdi Bahar Moghadam, Kazem Shamsadini

    Published 2025-12-01
    “…Our methodological approach incorporates (1) multivariate regression analysis to assess the hypothesized relationships, (2) robustness checks to address potential endogeneity concerns, and (3) industry-adjusted measures to control for sector-specific variations. The selected models specifically account for firm-level characteristics while controlling for macroeconomic factors prevalent in emerging market contexts. …”
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  13. 9633

    The benefits and harms of adjuvant chemotherapy for non-small cell lung cancer in patients with major comorbidities: A simulation study. by Amanda Leiter, Chung Yin Kong, Michael K Gould, Minal S Kale, Rajwanth R Veluswamy, Cardinale B Smith, Grace Mhango, Brian Z Huang, Juan P Wisnivesky, Keith Sigel

    Published 2022-01-01
    “…<h4>Background</h4>Randomized controlled trials (RCTs) have demonstrated a survival benefit for adjuvant platinum-based chemotherapy after resection of locoregional non-small cell lung cancer (NSCLC). …”
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  14. 9634

    The effects of citral on the intestinal health and growth performance of American bullfrogs (Aquarana catesbeiana) by Xiaoting Zheng, Qiuyu Chen, Xueying Liang, Jingyi Xie, Alfredo Loor, Hongbiao Dong, Jinlong Yang, Jiasong Zhang

    Published 2025-02-01
    “…Citral supplementation significantly improved intestinal morphology, with goblet cell numbers, mucosal thickness, and villus-to-crypt ratios peaking at 2–4 mL/kg (P < 0.05). Optimal doses of 2–4 mL/kg also enhanced digestive enzyme activities, with α-amylase, lipase, and pepsin activities showing significant increases compared to the control group (P < 0.05). …”
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  15. 9635

    A Review of Cross-Species Transmission Mechanisms of Influenza Viruses by Xianfeng Hui, Xiaowei Tian, Shihuan Ding, Ge Gao, Jiyan Cui, Chengguang Zhang, Tiesuo Zhao, Liangwei Duan, Hui Wang

    Published 2025-05-01
    “…This paper systematically reviews the research progress and discusses bottlenecks in this field, providing a theoretical foundation for optimizing future prevention and control strategies.…”
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  16. 9636
  17. 9637
  18. 9638
  19. 9639

    Fortifying IoT Infrastructure Using Machine Learning for DDoS Attack within Distributed Computing-based Routing in Networks by Sharaf Aldeen Abdulkadhum Abbas, Abdullahi Abdu Ibrahim

    Published 2024-06-01
    “…In addition, Algorithms perform quality control to determine the optimal hyperplane for the given data, Find neighboring data points and preserve the structure of the tree. …”
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  20. 9640

    Artificial Intelligence in Advancing Algal Bioactive Ingredients: Production, Characterization, and Application by Bingbing Guo, Xingyu Lu, Xiaoyu Jiang, Xiao-Li Shen, Zihao Wei, Yifeng Zhang

    Published 2025-05-01
    “…This review examines the multidimensional mechanisms by which AI enables and optimizes these processes: (1) AI-powered predictive models, integrated with machine learning algorithms (MLAs), Industry 4.0, and other advanced digital systems, support real-time monitoring and control of intelligent bioreactors, allowing for accurate forecasting of cultivation yields and market demand. (2) AI facilitates in-depth analysis of gene regulatory networks and key metabolic pathways, enabling precise control over the biosynthesis of targeted compounds. (3) AI-based spectral imaging and image recognition techniques enable rapid and reliable identification, classification, and quality assessment of active components. (4) AI accelerates the transition from mass production to the development of personalized medical and functional nutritional products. …”
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