Showing 1,401 - 1,420 results of 1,457 for search 'variables function (efficiency. OR efficient.)', query time: 0.17s Refine Results
  1. 1401

    FMRI insights into the neural alterations and clinical correlates in multiple sclerosis: A comprehensive overview of systematic reviews and meta-analyses by Sama Rahnemayan, Arezoo Fathalizadeh, Mehdi Behroozi, Mahnaz Talebi, Amirreza Naseri, Elham Mehdizadehfar

    Published 2025-04-01
    “…Graph theory metrics identified disrupted global efficiency and clustering in functional networks, linked to gray matter atrophy. …”
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    Article
  2. 1402

    Deletion of genes linked to the C1-fixing gene cluster affects growth, by-products, and proteome of Clostridium autoethanogenum by Ugochi Jennifer Nwaokorie, Kristina Reinmets, Lorena Azevedo de Lima, Pratik Rajendra Pawar, Kurshedaktar Majibullah Shaikh, Audrey Harris, Michael Köpke, Kaspar Valgepea

    Published 2023-05-01
    “…However, our understanding of the functionalities of the genes involved in the C1-fixing gene cluster and its closely-linked genes is incomplete. …”
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    Article
  3. 1403

    Systematic Evaluation of Isolation Techniques and Freeze‐Thaw Effects on Plasma Extracellular Vesicle Heterogeneity and Subpopulation Profiling by Xueqi Li, Xiangyu Li, Lingjun Tong, Liqiao Hu, Yanfen Hong, Ruoyu Zhou, Zonghong Li, Ming Dong, Junjie Hou, Tao Xu, Wen Zhong

    Published 2025-06-01
    “…However, standardizing blood‐derived EV isolation remains challenging due to the heterogeneity of EV populations and variability among isolation techniques. In this study, we systematically evaluated three distinct EV isolation methods, including asymmetrical flow field‐flow fractionation (AF4), size‐exclusion chromatography (SEC) and automated centrifugal microfluidic disc system combined with functionalized membranes (Exo‐CMDS), to compare their efficiency in isolating EVs from both freshly frozen and freeze‐thawed plasma samples. …”
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    Article
  4. 1404

    Structural network topologies are associated with deep brain stimulation outcomes in Meige syndrome by Bin Liu, Zhiqi Mao, Xinyuan Yan, Hang Yang, Junpeng Xu, Zhebin Feng, Yanyang Zhang, Xinguang Yu

    Published 2024-07-01
    “…However, the DBS efficacy varies across MS patients and the factors contributing to the variable responses remain enigmatic. We aim to explain the difference in DBS efficacy from a network perspective. …”
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    Article
  5. 1405
  6. 1406

    End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence by Wojciech Ciezobka, Joan Falco-Roget, Cemal Koba, Alessandro Crimi

    Published 2025-01-01
    “…The goal of this pipeline is to define an efficient brain representation for connectivity in stroke data derived from magnetic resonance imaging. …”
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    Article
  7. 1407

    Analisis Penerimaan Learning Management System Institut Teknologi Garut Menggunakan Technology Acceptance Model by Asri Mulyani, Dede Kurniadi, Mita Hidayani Putri

    Published 2023-08-01
    “…In addition to complying with government regulations, the Garut Institute of Technology academic community also follows the development of interactive information technology-based education with the use of informative applications through electronic media in order to get efficient results, namely the Learning Management System. …”
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    Article
  8. 1408

    Investigating the influence of soil organic carbon on pore structure within aggregates by Jingjing Liu, Yu Tian, Chiara Pasut, Mark Farrell, Shenggao Lu

    Published 2025-08-01
    “…The results revealed that the hydrogen peroxide treatment variably reduced organic carbon in soil aggregates, with Cambisol samples showing a higher removal efficiency (38.58–63.31%) compared to Ultisol samples (27.33–45.74%). …”
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    Article
  9. 1409

    FVPNet: A Fuzzy Visual Positioning Perception Network for Small Object Segmentation in Remote Sensing Images by Yu Yan, Jindong Xu, Qianpeng Chong, Guangyi Wei, Zhixiang Wang

    Published 2025-01-01
    “…Furthermore, grayscale variability intensifies boundary uncertainty, complicating accurate segmentation. …”
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    Article
  10. 1410

    Optimizing Load Frequency Control of Multi-Area Power Renewable and Thermal Systems Using Advanced Proportional–Integral–Derivative Controllers and Catch Fish Algorithm by Saleh A. Alnefaie, Abdulaziz Alkuhayli, Abdullah M. Al-Shaalan

    Published 2025-05-01
    “…Additionally, by contrasting the performance of the PID, PI, cascaded PI(PDN), and FOPID, PI(1+DD) controllers, the efficiency of the CFA is confirmed. Additionally, a sensitivity analysis that considers simultaneous modifications of the frequency bias coefficient (B) and speed regulation (R) within a range of ±25% validates the efficacy and dependability of the suggested CFA-tuned PI(1+DD). …”
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    Article
  11. 1411

    Identification and leveling of factors affecting the acceptance of excellence model in Islamic Azad University by Seyedeh Somayeh Mousavi Siah Deleh, Samad Jabbari Asl, Musa Rezvani Chaman Zamin

    Published 2024-05-01
    “…The concept of institutional excellence in higher education institutions as mentioned by Kok & McDonald (2017) refers to behavior that leads to excellence in all research, teaching and social service functions through excellence in strategy and shared values, leadership, Organizational culture. …”
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    Article
  12. 1412

    Mechatronic system for running-in and testing of mechanical transmissions in mining shovels by Sergey I. Malafeev, Alevtina A. Malafeeva, Vladimir I. Konyashin, Andrey A. Novgorodov

    Published 2025-03-01
    “…The running-in and testing processes are carried out using the mutual loading method, which enhances energy efficiency by allowing regenerative energy to be reused within the system. …”
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    Article
  13. 1413

    Application of multi-objective neural network algorithm in industrial polymerization reactors for reducing energy cost and maximising productivity by Fakhrony Sholahudin Rohman, Sharifah Rafidah Wan Alwi, Dinie Muhammad, Ashraf Azmi, Zainuddin Abd Manan, Jeng Shiun Lim, Hong An Er, Siti Nor Azreen Ahmad Termizi

    Published 2024-12-01
    “…Optimization on an industrial scale is a complex task that involves fine-tuning the performance of large-scale systems and applications to make them more efficient and effective. This process can be challenging due to the increasing volume of work, growing system complexity, and the need to maintain optimal performance. …”
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    Article
  14. 1414

    Recent Advances in Vitamin E TPGS-Based Organic Nanocarriers for Enhancing the Oral Bioavailability of Active Compounds: A Systematic Review by Chee Ning Wong, Siew-Keah Lee, Yang Mooi Lim, Shi-Bing Yang, Yik-Ling Chew, Ang-Lim Chua, Kai Bin Liew

    Published 2025-04-01
    “…Despite using the same excipient, variability in particle size, zeta potential, and encapsulation efficiency among nanocarriers indicates the need for tailored formulations. …”
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  15. 1415

    Synergistic co-metabolism enhancing the crude oil degradation by Acinetobacter oleivorans DR1 and its metabolic potential by Lairenjam Paikhomba Singha, Renuka Kumari, Keisam Malabika Singha, Piyush Pandey, Pratyoosh Shukla

    Published 2025-07-01
    “…ABSTRACT Bacterial degradation of hydrocarbons during co-metabolism with glucose often resulted in variable degradation efficiency. This study explored the mechanistic understanding of the metabolic response during co-metabolism in Acinetobacter oleivorans DR1 using a metabolomics approach. …”
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  16. 1416
  17. 1417

    Neuro-fuzzy inference system and white shark optimization of coagulation-flocculation of aquaculture wastewater treatment by A.F. Mohamed, H. Rezk

    Published 2025-07-01
    “…During the optimization process, these controlling parameters are used as a design variable whereas the objective function required to me be a maximum is the summation of turbidity removal and salinity removal. …”
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  18. 1418

    Optimizing processing methods for maximum bioactive retention: comparative metabolomic analysis of dried loquat (Eriobotrya japonica) flowers and their powdered extracts by Mingzheng Duan, Jieming Feng, Jing-Han Feng, Xi Wang, Xu Xiao, Shirong He, Hengcui Guo, Wenyan Zhang, Zhumao Jiang, Tongfa Wan, Muhammad Junaid Rao

    Published 2025-08-01
    “…These insights guide the development of standardized loquat flower products, balancing bioactive preservation with processing efficiency for functional food and herbal medicine applications.…”
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  19. 1419
  20. 1420

    Deep learning algorithm on H&E whole slide images to characterize TP53 alterations frequency and spatial distribution in breast cancer by Chiara Frascarelli, Konstantinos Venetis, Antonio Marra, Eltjona Mane, Mariia Ivanova, Giulia Cursano, Francesca Maria Porta, Alberto Concardi, Arnaud Gerard Michel Ceol, Annarosa Farina, Carmen Criscitiello, Giuseppe Curigliano, Elena Guerini-Rocco, Nicola Fusco

    Published 2024-12-01
    “…The DL model exhibited high accuracy in tissue quantification and TP53 status prediction, outperforming traditional methods in terms of precision and efficiency. DL-based approaches offer significant promise for enhancing biomarker testing and precision oncology by reducing intra- and inter-observer variability, but further validation is required to optimize their integration into real-world clinical workflows. …”
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    Article